Find Your Dream Career

At Swile, we believe that good products can help reduce friction in daily professional life and boost employee satisfaction. Today, we provide innovative solutions in various areas such as Fintech, Travel, HR, and Employee Benefits to more than 5.5 million users in 85,000 companies in France and Brazil. As a Senior Data Platform Engineer , you will join the Data Platform team. We are an enablement team: we build the tools, standards and foundations that let every engineering team at Swile own its data autonomously. You will work at the crossroads of data, software engineering and infrastructure, in a senior team where everyone has a direct impact. As a Senior Data Platform Engineer, your mission will be to: Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products Contribute to our batch processing (Airflow, dbt) and event-driven architecture (Kafka) Define, document and promote standards and best practices Help teams adopt our tools and practices, and grow their skills Evangelize the platform vision and build relays across teams, in France and Brazil ✨It will be a perfect match if you: Have solid experience in data engineering or platform engineering, with a good software engineering culture Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others Have worked with some of these: Python, Ruby, Airflow, Kafka, Snowflake, dbt, Terraform Are autonomous, communicate clearly, and enjoy collaborating with and supporting other teams Are curious about new tools and practices, including AI (no expertise required) Speak good English (we work daily with our teams in Brazil) You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance. 📓 One thing worth to be mentioned We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself. ⚒️ Our tech stack Ruby/Rails, Typescript/Node.js Terraform/Terragrunt, Python, SQL, dbt AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake 💡What's in it for you ? An opportunity to integrate a dynamic team of talented engineers. A broad role with direct impact on how many teams work at Swile. Competitive salary and benefits package. Professional development and career growth opportunities. Find Jobs in France on Arbeitnow

About Nabla We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! Early Careers: Software Engineering & Machine Learning We're looking for early-career engineers who want to learn fast, work with experienced mentors, and make a real impact from day one. You'll join a collaborative, mission-driven team where technical curiosity and humility matter as much as skill. Location: Paris (Hybrid) Start Date: 2027 (or as early as possible) Commitment: Internship-to-hire What we Offer Real Impact from Day One: You won't be stuck with small tasks: you'll contribute to real features and products. Learning Everywhere: We believe in mentorship, pair programming, and leveling up together. Lean, Ambitious Team: Be part of a fast-moving, deeply technical culture where your contributions matter. Healthcare Mission: Help doctors, nurses, and care teams spend more time with Patients Career Launchpad: Many interns convert to full-time, and early engineers grow quickly. We work across multiple domains: Apps: Web app, frontend logic, UI/UX Platform: Backend services, infrastructure, APIs Core (ML): Algorithms, models, data systems Your DNA Currently pursuing or recently graduated in Computer Science, Engineering, Applied Math, or a related field . Comfortable coding in at least one: Java, Kotlin, Python, or TypeScript . Passionate about AI, data, or building meaningful product features. Curious, collaborative, and excited to learn. Humble and resilient — you ask questions, take feedback, and grow. Nice-to-Haves (but not required) Internship or personal projects in AI, full-stack, or backend systems. Experience with React, GraphQL, or cloud infrastructure. Knowledge of CI/CD, Docker, or automated testing. You'll see us on campus at: Télécom Paris Forum Trium ENSIMAG CentraleSupélec École Polytechnique EPFL Forum Organisation Meet us there and tell us what excites you. Life at Nabla When you become a part of our company, you join a team of excellence-driven, curious, and genuinely kind individuals. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe in a world where clinicians can focus on what they were trained to do - caring for their patients, and where no patient feels their visit was rushed. We come to work excited to leverage AI to do more for clinicians. We're obsessed with our users' satisfaction and we actively seek out opportunities to engage one-on-one with clinicians to understand how Nabla can better help. We consistently look for ways to improve and do not shy away from doing the work to excel. Whether it's a feature our users asked for, or a new article for our blog, we prioritize collaboration to deliver exceptional outcomes. We love having fun as much as we love work. Our #nablabla channel is as active as our #feature-show-off channel, we exercise during the work day at least 3 times a week (yoga, running, pilates, or HIIT, your choice!), enjoy regular off-sites to gather the team, and travel to see each other in places like NY, Paris, San Francisco, and many other vibrant cities. Oh, and we're constantly snacking on chocolate or nuts! If this sounds like an environment you'll thrive in, we look forward to reading your application! Our Values at Nabla Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion. Every day is a new chance to excel We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday's failures and do better every day. Stay humble There's no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture. Feedback is a gift We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions. Committed to diversity We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work. Diversity & Inclusion Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond. As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive. Avoid recruitment scams: Stay safe and informed There is an active employment scam which is now using Nabla to collect personal information or financial scams. If you're contacted by a Nabla recruiter, please ensure whomever is contacting you truly represents Nabla and is utilizing a nabla.com email address. We will never ask for the exchange of any money or credit card details during the recruitment process. Nabla utilizes a hiring platform for all applications; please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Nabla. You can find more information following this link . Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla. Find more English Speaking Jobs in France on Arbeitnow

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Why join Dataiku? Dataiku's on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github , you can also take a look at the Gallery , a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you'd like to know more about it, you can watch the demo here or try the free version here . How you'll make an impact At DKU, we have multiple engineering teams focusing on various aspects of the software, including AI/ML, MLOps, Data Preparation, Data Visualization, and Cloud Platform. Each team offers internship opportunities where you'll work on specific features with direct impact on the final product. During the interview process, you'll receive detailed information about the available features and their contribution to the overall project. As an intern, you will be working with more senior software engineers every day on a potential future feature of our product. With guidance and support, you will be able to code, debug, optimize, and document your work while learning how to deliver qualitative work. The stack may differ from one internship to another, but the global stack of Dataiku is Python/Java for the backend and Angular/Vue/React for the frontend. Here are some examples of previous projects our interns worked on: Unsupervised models: Improve the tooling available for data scientists to train unsupervised (clustering) models in Dataiku If time allows, extend further to optimize the training and inference of those types of models Webapp vibe coding: Build an intelligent "vibe coding" assistant that interprets a user's intent and aesthetic preferences to automatically generate functional web app code Prototype and refine techniques that translate natural-language descriptions into usable web components, accelerating web app development for users without deep front-end expertise Dynamic model management: Improve management of AI models accessible on already-deployed software to unlock new capabilities without upgrading Leverage Dataiku's LLM Mesh and accelerate customer adoption, helping shape Dataiku's strategy for agentic AI in the enterprise AI-powered code generation: Develop and integrate more low-setup code completion features into Dataiku's embedded code editors As a time-permitting extension, investigate and potentially implement more AI-powered code generation capabilities to further enhance the coding experience Flow Search: Significantly enhance the search and filtering capabilities for Dataiku's complex data pipelines by introducing advanced operators Implement this powerful search feature by defining a formal query grammar, building an Abstract Syntax Tree (AST) to parse user input, and developing a user-friendly interface with live autocompletion and intelligent error feedback Internationalization: Actively contribute to the internationalization of the Dataiku platform by allowing faster translation of new and existing software components into various languages beyond English Improve and optimize the entire internationalization workflow by implementing technical solutions such as lazy loading for resources, automating translations with LLMs, and developing tools for automated error detection Files Processor: Develop a versatile, all-in-one file processing tool within Dataiku to perform a wide range of transformations and filtering on unstructured data, such as resizing images, converting documents (e.g., DOCX to PDF), and more Streamline data preparation workflows by embedding these file manipulation capabilities directly into Dataiku pipelines, improving user efficiency and reducing the need for external tools Geo-Grouping: Develop and implement a new geospatial transformation tool within the Dataiku platform to compute the convex hull of sets of geometric shapes (points and polygons) Enhance Dataiku's capabilities by enabling customers to geo-group their data, unlocking advanced spatial analytics for use cases in fields like retail and logistics Cloud Engineering: Contribute to the launchpad SaaS portal of Dataiku, building full-stack features and leveraging Kubernetes to deliver scalable, secure instance management for companies Improve platform reliability and developer confidence by implementing safe rollouts (feature flags), deep observability (tracing, metrics, dashboards), and broader automated test coverage What does the hiring process look like? Initial call with a member of our technical recruiting team (30 min) with a presentation of various internship subjects Technical assessment to show your skills (take-home test) Discussion with the technical recruiter to select the internship topic (15-30 min) Video call with your future manager (1h) Benefits and Perks: Ideal location: we are based in the heart of Paris in Gare de Lyon 50% reimbursement on Navigo Transport pass and up to 5 paid leaves Free breakfasts, snacks, and drinks in our office every day and access to the office canteen Opportunities to work with a unique mix of talents and fast career opportunities A great place to learn: you will master the key skills of the tech world Be part of the AI revolution and learn how we support our customers What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here. Find Jobs in France on Arbeitnow

About the Team OpenAI's Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer, you will partner directly with Digital Native companies to design, build and deploy AI-powered products and systems. Working alongside customer product and engineering teams, you will take ideas from early experimentation through evaluation, production launch and scale, connecting technical decisions to user experience and measurable business impact. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI's products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with Digital Native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You'll thrive in this role if you: Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? The Ads Customer Interfaces team develops full-stack web application services, APIs, and UIs that provide a unified approach to interfacing with internal and external customers across Roku's suite of advertising products. Our mission is to provide the best-in-class user experience and service while aiming to delight users of our products by making their jobs easier and allowing them to focus on their customers instead of getting bogged down by tedious business processes. In this role, you will work as a key member of the Ads Customer Interfaces team. What is the role? Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media worldwide, continued success stems from experienced software engineers like you developing core features for the Roku platform. Our new Senior Software Engineer will be contributing extensively to our container orchestrated platform, bringing together some of the latest web technologies with Ai expertise to develop a truly scalable and responsive web applications. To be successful you'll need extensive experience of building reliable and scalable cloud-based solutions, a strong background in software engineering and an appetite to keep on top of modern software practices. This is a great role for a senior professional who enjoys a high level of visibility and thrives on great business impact. The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional who has innovative ideas for complex problems and can translate these ideas into ultra-reliable software. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsiblities of the role? Design, develop and deliver high-quality web applications and back-end services with modern frameworks and technologies. Work as a part of a high functioning team consisting of UX designers, software engineers, dev-ops, quality assurance and product management. Build and integrate AI-powered features into web applications and enterprise tools. Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions Work both independently and paired with other team members to ensure efficient delivery of prioritised features. Take part in the planning and refinement of features along with the team to come up with innovative and collaborative designs. Develop new features and write test cases to ensure the quality of your code. Work with CI/CD tools to ensure that all software developed adheres to both quality and scaling requirements. Take a role in continuously improving our software delivery process, making it as efficient as possible, reducing wasteful activities and creating value. See a feature go all the way from design stage to being deployed into customer facing environments. Demonstrate the ability to dig deep to find solutions to challenging problems affecting our users. What experience would help someone be successful in this role at Roku? Extensive expeirence in JavaScript/TypeScript and modern web frameworks (React, Next.js, Angular, Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKs Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred In-depth understanding of CI/CD and the tools used to implement them, such as Jenkins. Experience with software repository tools, such as GitLab and GitHub. Experience with productivity tools, such as Jira and Confluence. A good understanding of Agile practices. Ability to accurately estimate software tasks and work to schedule. Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred. Understanding of databases and data architecture choices (SQL vs NoSQL, caching layers, and data access patterns) Track record of tuning performance and reliability for highly available services and web applications Familiarity with web security fundamentals and secure engineering practices Bachelors of Masters Degree in Compute Science/Software Engineering or related subject #LI-PA1 What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet . By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice , and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing <a ----- ----- Find Jobs in United Kingdom on Arbeitnow

Position Summary: Quotient is seeking a Senior Engineer in our Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure, reliable and scalable engineering solutions. This is a senior individual-contributor role with substantial technical autonomy. You will make cross-system architecture and operational trade-offs, establish reusable engineering patterns, and mentor our Cloud Engineers and Data Engineers through design reviews, delivery and troubleshooting. The role does not require formal line management, but it does require clear technical leadership and accountability for platform outcomes. This hybrid role is based at the Chesterford Research Campus, near Cambridge, and reports to the Head of Data Infrastructure. The successful candidate will normally work from the campus at least three days per week, participate in operational support and incident escalation, and must have permission to work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production systems easier to build, test, deploy and operate. Own cross-cutting engineering decisions for observability, identity and access management, networking, resilience, capacity, data movement and lifecycle management. Partner with Cloud Engineers and Data Engineers to deliver integrated solutions, providing practical mentoring through technical design, code review, incident response and operational improvement. Work with AI scientists, computational biologists and scientific teams to translate model development, training, evaluation, inference and data requirements into secure, reproducible platform capabilities. Diagnose and resolve complex failures spanning infrastructure, data pipelines, applications and AI workloads; lead incident reviews and ensure corrective actions improve the wider system. Establish and reinforce engineering standards for testing, documentation, release management, operational readiness, security and cost visibility across the Data Infrastructure team. Evaluate new technologies and shape the infrastructure roadmap with the Head of Data Infrastructure, making pragmatic build-versus-buy and sequencing decisions for an early-stage biotech. Qualifications: Essential Substantial experience designing, building and operating production cloud or data infrastructure, typically gained through seven or more years of relevant work or equivalent demonstrated capability. Advanced hands-on experience with AWS and ownership of multiple interdependent production systems, including the ability to troubleshoot failures across service boundaries. Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, identity and access management, and production observability. Strong software engineering skills in Python and Linux, including automated testing, version control, code review and maintainable automation or platform tooling. Experience supporting data-intensive life-science systems or workflows, with enough domain understanding to reason about large scientific datasets, reproducibility, provenance and scientific user needs. Experience enabling AI/ML workloads in cloud environments, such as data preparation, model training, evaluation, inference, orchestration or production deployment. A track record of leading complex technical initiatives under ambiguity, making explicit trade-offs and remaining accountable for reliable operational outcomes. Demonstrated ability to mentor engineers and communicate architecture, risk and delivery choices clearly to both technical and scientific stakeholders. Desirable Experience Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive biomedical or clinical data. Identity platforms and federation technologies such as Entra ID, SSO or role-based access patterns. Working in an early-stage biotech, research-intensive startup or another fast-changing environment with a small engineering team. Values and Behaviors: Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions Use a company-first mindset to guide decision-making; prioritize team over individual success Take calculated risks and challenge convention in the quest for exceptional outcomes About Quotient: Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs. The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). Quotient Therapeutics and Flagship Pioneering are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies: Quotient Therapeutics ("Quotient") and Flagship Pioneering ("FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Quotient, FSP or their employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact ----- Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We are hiring a Principal Solution Architect to design and deliver end-to-end GPU infrastructure solutions that power some of the world's most demanding AI workloads. This is a highly technical, customer-facing role at the intersection of AI infrastructure, solution architecture, and engineering. You will translate complex customer requirements into scalable, high-performance infrastructure designs spanning GPU compute, networking, storage, data centre systems, and orchestration platforms. You'll own solution designs end-to-end, from bare-metal GPU fabrics and high-performance networking through to the orchestration layers customers use to run their AI workloads. You'll also leverage modern AI tooling and automation to accelerate solution design, architecture validation, and deployment readiness. Working closely with customers and Nscale's Engineering, Infrastructure, and Deployment teams, you'll act as a trusted technical advisor, ensuring our solutions deliver exceptional performance, reliability, and scalability. What you'll be doing GPU Infrastructure & Solution Architecture Design end-to-end GPU infrastructure solutions tailored to customer requirements and AI workloads. Architect GPU cluster configurations, including rack layouts, power and cooling considerations, and NVLink/NVSwitch domains. Design high-performance network architectures, including leaf/spine, rail-optimised fabrics, InfiniBand, Ethernet, RoCE, and GPUDirect RDMA. Define storage architectures and data pipelines supporting large-scale AI training and inference workloads. Design infrastructure and orchestration layers, including bare-metal provisioning, Kubernetes, Slurm, and multi-tenant scheduling. Architect control plane and management systems covering monitoring, alerting, and cluster lifecycle management. Customer Engagement & Technical Advisory Engage directly with customers to understand their technical requirements, workloads, and infrastructure challenges. Translate customer needs into detailed technical architectures, specifications, and reference designs. Act as a trusted technical advisor, guiding customers through infrastructure design decisions and technical trade-offs. Collaborate with internal Engineering teams to ensure proposed solutions are technically feasible, scalable, and aligned with Nscale's infrastructure capabilities. Support deployment planning and ensure solutions meet agreed performance, reliability, and operational requirements. GPU Performance, Testing & Validation Define and execute infrastructure acceptance and validation plans for GPU clusters. Lead performance benchmarking using NCCL collectives and other GPU performance testing tools. Validate network fabrics, GPU interconnects, and cluster configurations to ensure optimal performance. Troubleshoot multi-node GPU performance issues, including degraded links, fabric misconfigurations, stragglers, and performance regressions. Establish performance acceptance criteria and support GPU infrastructure sign-off before production deployment. AI-Driven Design & Infrastructure Automation Leverage AI tooling to automate and accelerate infrastructure design and engineering workflows. Develop automated approaches for generating and iterating on architectures, bills of materials (BoMs), network topologies, and deployment artefacts. Apply LLM-assisted engineering, code generation, and agentic workflows to improve design efficiency and accuracy. Use Infrastructure-as-Code and scripting tools such as Terraform, Ansible, Python, or Go to streamline infrastructure design and deployment. Identify opportunities to improve repeatability, consistency, and scalability across solution architecture processes. Storage, Reliability & Operational Readiness Design storage solutions optimised for AI workloads, including parallel and distributed file systems. Consider data throughput, checkpointing, and storage performance requirements when designing GPU clusters. Incorporate reliability, availability, and serviceability principles into infrastructure architectures. Define monitoring, health checks, observability, and diagnostic requirements for production environments. Partner with Infrastructure and Operations teams to ensure successful deployment, validation, and ongoing operational readiness. Technology Research & Continuous Improvement Stay current with emerging GPU technologies, networking architectures, storage platforms, and AI infrastructure innovations. Research and evaluate new technologies to inform Nscale's future solution architectures. Contribute to the development of reusable reference architectures, engineering standards, and technical best practices. Share technical knowledge and expertise across Engineering, Product, and customer-facing teams. About You Required Experience 10+ years of relevant experience in solution architecture, infrastructure engineering, high-performance computing, or large-scale data centre environments. Strong experience designing and delivering large-scale GPU infrastructure and AI/HPC solutions. Deep technical understanding across the full GPU infrastructure stack, from bare-metal compute and networking through to orchestration and workload management. Proven ability to translate complex customer requirements into detailed technical architectures and implementation plans. Strong analytical and problem-solving skills, with the ability to troubleshoot complex infrastructure and performance challenges. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. GPU Infrastructure & Networking Strong understanding of GPU architectures, including NVLink/NVSwitch, PCIe, memory bandwidth, and GPUDirect RDMA. Deep expertise in high-performance networking, including InfiniBand, RoCE, congestion control, leaf/spine architectures, and rail-optimised fabric design. Experience with bare-metal infrastructure provisioning, including PXE/iPXE, firmware management, and BMC technologies. Hands-on experience with Kubernetes and Slurm in production environments. Understanding of how network topology and GPU interconnect design impact distributed AI workload performance. GPU Performance & Validation Hands-on experience with NCCL and collective communication benchmarking, including nccl-tests. Familiarity with NVIDIA performance validation and diagnostic tooling, including Fabric Manager, DCGM, nvidia-smi, and nvbandwidthtest. Experience with InfiniBand and Ethernet fabric diagnostics, including tools such as ibdiagnet. Proven ability to validate and troubleshoot multi-node GPU clusters, identifying performance bottlenecks, degraded links, fabric issues, and configuration problems. Automation & Software Engineering Strong scripting and automation skills using Python, Go, or similar languages. Experience with Infrastructure-as-Code tools such as Terraform and Ansible. Demonstrated ability to automate engineering and design workflows using modern AI tooling. Familiarity with LLM-assisted development, code generation, and agentic automation pipelines. Storage, AI Workloads & Reliability Experience with storage technologies supporting AI workloads, including Lustre, GPFS, WEKA, BeeGFS, or large-scale NFS. Understanding of distributed training and inference infrastructure requirements. Familiarity with AI/ML frameworks such as PyTorch, DeepSpeed, or Megatron-style training stacks. Knowledge of checkpointing, data pipeline design, and high-throughput storage architectures. Understanding of GPU cluster reliability, burn-in testing, health checks, and observability tooling such as Prometheus, Grafana, and DCGM exporters. Preferred Experience & Personal Attributes Previous experience in a customer-facing Solution Architecture, Pre-Sales Engineering, or Technical Advisory role. Background in hyperscale cloud, GPU infrastructure, HPC, or AI infrastructure environments. Strong customer-first mindset with the ability to build trusted relationships. Comfortable operating in fast-paced, ambiguous environments and taking ownership of complex technical challenges. Curious, proactive, and passionate about emerging technologies and AI infrastructure innovation. Collaborative approach with the ability to influence technical decisions across multiple engineering disciplines. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive package (base + equity) with reviews every 12 months. 🚀 Join one of the fastest-growing AI infrastructure companies — your opportunity to design and deliver cutting-edge GPU infrastructure powering the next generation of AI. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by solving complex technical challenges, influencing infrastructure architecture, working with leading AI technologies, and shaping the future of Nscale's GPU cloud platform. Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide , including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences. Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform . We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound's Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies , We're growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading. About the Role: As a Sales Engineer it's your mission to show the value of Camunda and guide organizations planning to automate their core business processes. You accompany prospective customers in their product evaluation of Camunda. You are responsible for achieving the product win, getting answers to all product related technical questions, and arranging all presales interactions driving the evaluation. In this role you will partner with our Account Executives and Solution Architects, supporting you by conducting proof of concepts or handling other deeply technical discussions. You will help qualify opportunities and then help set and execute a sales strategy to achieve a win. The effectiveness of Camunda's Sales Engineers is gauged by their ability to convert prospects into Camunda customers both efficiently and at a high rate. This position requires a strong interest in cutting-edge software technologies. You should take pleasure in crafting sample code or custom demonstrations and exploring new technology, even if you're not highly experienced in software development. By empathizing with prospects, you better grasp their requirements and have engaging technical conversations, and excel at clarifying how Camunda's technology can benefit their business. What you'll be doing: Map customer requirements to our Camunda product portfolio Position potential quantitative and qualitative business value of Camunda Develop individual Camunda evaluation plans and demos for our prospects Conduct product demos and product related Q&A sessions Support the completion of RFI / RFP documents Team with Account Executives to develop accounts Organize and execute pre-sales engagements Implement code snippets Create and maintain pre-sales content and technical artifacts What you bring: Ability and/or willingness to use our product . Strong Technical Foundation: A degree in Computer Science, Information Systems, or a related field—or equivalent practical experience. Solid understanding of programming fundamentals, modern software engineering practices, and common IT/system architectures. Proven Sales Engineering Experience: Experience in Sales Engineering or Pre-Sales, with a deep understanding of sales cycles, value-based selling, and stakeholder engagement. Skilled in handling objections and driving deals to closure in a consultative selling environment. Communication Excellence: Exceptional presentation and interpersonal skills, with the ability to translate complex technical concepts into clear, compelling narratives tailored to technical and non-technical audiences alike. Language Proficiency: Fluent in English (C1/C2 level or native proficiency) and Dutch with strong written and verbal communication Travel Flexibility: Willingness to travel occasionally for customer meetings, events, and team collaboration. Nice-to-haves: Experience in enterprise automation, business process management (BPM), process orchestration, robotic process automation (RPA), Agentic-AI or similar domains. Familiarity with value-based selling, including conducting value workshops and applying value engineering frameworks. Strong understanding of the process automation and orchestration product landscape and key industry players. Industry experience in BFSI, Telecommunications, or Logistics. Proficiency in an additional language beyond English. This role is an existing vacancy #LI-AL1 #LI-Remote #EMEAWest What We Have to Offer: Compensation We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills , experience , and location , and we typically hire in the first half of the range to allow room for growth: United States: $175,200.00 to $282,400.00 United Kingdom: £110,000.00 to £180,900.00 Singapore: S$217,500.00 to S$326,300.00 If you're based elsewhere, you'll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview. Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP) . Benefits & Perks We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you're based. Our benefits are globally designed and locally delivered where applicable. Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it. In Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets , including contributing to meetups while travelling,, and local gatherings with fellow Camundi. Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. The Live Well program launches in 2026 and scales to €1,000 annually from 2027 . Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant. Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide! AI in our hiring process : Camunda may use AI tools to aid the screening of applications and during the interview process. You can learn more here "Everyone is welcome at Camunda" — it's a celebrated component of our culture. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law. We are looking forward to your application! Come join us and be part of Camunda's incredible journey: Make an impact at a pivotal moment in our story! Please be aware that scammers may impersonate Camunda by reaching out about job opportunities. Camunda will only contact candidates from an email address ending in @ camunda.com or @ talent.camunda.com . We will never ask candidates for bank account details, checks, payment, or other sensitive financial information as part of our hiring process. If you receive a suspicious message, please do not respond, click any links, or share personal information. Note for recruiting and placement agencies: Camunda does not accept unsolicited agency resumes. Please do not forward resumes to our careers site, employees, or any other Camunda contact unless we have specifically engaged your firm for that search. Camunda will not pay fees related to unsolicited resumes. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore's technology. Furthermore, you'll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! The team and culture The Applied AI team's role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore's technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore's next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we're looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore's technology. Furthermore, you'll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! The team and culture The Applied AI team's role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore's technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore's next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we're looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore's technology. Furthermore, you'll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! The team and culture The Applied AI team's role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore's technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. Responsibilities Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators. Benchmark and profile ML models to identify performance bottlenecks. Develop deep understanding across the software stack in order to optimise kernel implementations. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Design and conduct experiments on novel AI methods and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore's next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. What we're looking for Essential: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Well-developed understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a fast-moving field. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable: Experience in one or more of: MLOps for Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms. Have contributed to open-source projects or published research papers in relevant fields. Keen to present, publish and deliver talks in the AI community. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role. Find Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Prior professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow