Find Your Dream Career

Headquarters: Portugal - Remote Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost. Learn more at www.dremio.com. About the role In this role you will get opportunities to implement and maintain CI/CD systems and developer productivity solutions. You will be responsible for both regularly scheduled work as well as on-demand break-fix work to support Dremio's CI/CD system, identifying areas of improvement, and implementing changes to increase efficiency and effectiveness of those systems. Bring your industry experience to improve the efficiency and scale of Dremio's infrastructure via innovation on tooling and methodologies. You should have empathy for developers and a passion for engineering productivity. What you'll be doing Solve problems for fellow Dremio engineers by: Leveraging and contributing to playbooks to implement solutions to unblock them Identifying short term workarounds and documenting them Automating processes where manual processes exist. Working on infrastructure across all major clouds (AWS, GCP, Azure). Managing access to key infrastructure. Build and maintain CI/CD pipelines and associated systems to increase organizational efficiency. Automate local development workflows. Analyze performance bottlenecks, root cause issues, file defects, follow up with developers, and document resolutions. Clear focus on keeping our development branches 'green'. Release engineering - automating processes to push software to delivery endpoints. Report out on the status, reliability and robustness of our CI/CD systems. Actively participate in code reviews. What we're looking for B.S. or M.S in Computer Science or in a related technical field 1+ years of experience on large scale distributed systems Comfortable navigating the fast moving, unstructured nature of a hyper-growth startup. Demonstrable Knowledge and Experience with at least one cloud platform (AWS, Azure, GCP) Basic understanding of cloud networking and cloud architecture. Proficiency in any of Java/C++/Python/Go Knowledge of Maven or similar build environments Hands on experience in pipeline automation using CI/CD tools like Jenkins Experience in Infrastructure as Code Experience with Terraform, BASH, Docker, Jenkins, and Kubernetes Ability to write technical reports, effectively summarizing key data Passion for learning and then delivering solutions using latest technologies Strong Affinity for collaboration and teamwork Bonus points if you have Working knowledge in data lakes and data warehousing Proficient with SQL What we value At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife. Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor. Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter. Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click here to review the privacy notice. Important Security Notice for Candidates At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement here . Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. To apply: https://weworkremotely.com/remote-jobs/dremio-software-engineer-developer-experience

Set a new pulse for healthcare! We are looking for a Head of Design Systems to join the Brand and Design team at Doctolib. Your mission will be to ensure every Doctolib product surface is built on a consistent, high-quality design foundation. You will own Oxygen , Doctolib's design system - much more than a component library. Oxygen is how we deliver our brand identity consistently throughout the product and the critical infrastructure that ensures design quality at scale across an AI-first development environment. With over 50 designers and engineers building across multiple markets and product surfaces, your work will directly shape the experience of more than 90 million patients and 400,000 healthcare professionals. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Set the multi-year vision and roadmap for Oxygen, connecting the dots across engineering, design, and brand teams. Translate system health into business impact and own the investment strategy for the teams, tools, and governance that support it. Establish cross-functional governance across Design, Product, Engineering, and Brand teams, defining contribution models, change management processes, and the standards other teams are expected to follow. Own design output quality across the product, ensuring that AI-generated interfaces are coherent, consistent, and on-brand at every touchpoint across the company. Define and drive cross-organizational adoption, measuring adoption rate, component coverage, and contribution velocity, and connecting those metrics to product team speed and quality. Manage and grow a team of designers, product people and engineers, setting career paths, a high bar for craft, and hiring for the roles the system needs next. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have 10+ years of experience in product design or design systems, with a proven track record of scaling a mature, complex system across multiple product teams or lines of business Bring engineering fluency: you understand the technical architecture of a design system, how platform teams operate, and the latest best practices in AI-first software engineering as it relates to design systems Have demonstrated senior stakeholder management skills, with the ability to negotiate priorities with leadership at Director level and above across large, distributed organizations, and drive change management at scale Take a data-informed and outcome-oriented approach: you measure system health in real metrics (adoption rate, handoff defect rate, contribution velocity) and connect those numbers to product quality and business outcomes Have experience in a regulated, enterprise, or healthcare-adjacent context where accessibility (WCAG), localization (i18n, RTL), and multi-market constraints are critical to design systems Are fluent in English It would be fantastic if you: Have experience owning large-scale change management programs across cross-functional organizations Speak additional European languages, such as French, German, or Italian Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) Work from abroad for up to 10 days per year thanks to our flexibility days policy Company health insurance with great supplementary benefits through our partner Allianz Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) The Doctolib Parent Care program, which includes one month additional parental leave and much more Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth Free mental health and coaching services through our partner Moka.care Subsidized sports membership through our partner Urban Sports Club A flexible workplace policy offering both hybrid and office-based mode Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview Portfolio Review Design System Live Case Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Full-time Paris or Berlin Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Find Jobs in France on Arbeitnow

We are looking for a Python Senior Software Engineer to join the ATP team in Application Platform Domain. As a Senior Software Engineer, your mission will be to work on designing and delivering essential components that empower Doctolib teams to build robust and scalable services. You will be working in a feature team developing the chassis, archetypes, business-agnostic services, cross-cutting concerns and Claude Plugins. You will be working in a platform feature team developing the Python and Java/Kotlin chassis, project archetypes, business-agnostic services, cross-cutting concerns (resilience, security, observability…) and Claude Plugins, used by more than 60 services across Doctolib. Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. Your responsibilities include but are not limited to: Collaborate with product managers, designers, and other engineers to define and implement features to improve the Doctolib platform Take a leading role within the team and contribute to establishing a technical vision that ensures the performance, security, and usability of the platform, taking into account the future needs and the high scalability needs Bring your expertise and experiences to help us continuously improve the way we implement, test, and monitor high-quality features Improving the performance of key features implemented in Python, sometimes completely challenging the status quo Taking leadership on delivering roadmap items (together with the team) Contributing to establishing a technical vision and co-drive the creation of the roadmap for next quarters About our tech environment Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here ! Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You are proactive, curious, collaborative and eager to learn You are primarily a backend engineer with expert knowledge of Python You have a solid understanding of web technologies and software development life cycle You have a "user first" mindset and want to build a product focused on bringing value to its users, through secure, well-tested and pragmatic code You are fluent in English Now it would be fantastic if you have experience with Kafka and Kubernetes have experience with ADK and ML libraries have experience with Java or Kotlin What we offer Free comprehensive health insurance for you and your children Parent Care Program: additional leave on top of the legal parental leave Free mental health and coaching services through our partner Moka.care For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Work from abroad for up to 10 days per year thanks to our flexibility days policy Up to 14 days of RTT A subsidy from the work council to refund part of the membership to a sport club or a creative class Lunch voucher with Swile card The interview process Recruiter Interview Feature Building Interview System Design Interview Behavioral Interview At least one reference check Job details Permanent position Full Time Location: Levallois Hybrid work setup (up to 2 remote days per week) Start date: As soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles ! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find more English Speaking Jobs in France on Arbeitnow

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com Shift Technology : Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world's leading insurers. The Data & AI Engineering Team 🤖: The Data & AI Engineering team designs, builds, and maintains the platform that powers all of Shift's products and features used by insurers. We bring together Data, Software, and ML/AI Engineers to tackle a broad range of technical challenges. Here are just a few of the areas we work on: Predictive ML models, RAG systems and advanced agentic AI workflows for scoring and decisions; Data storage: relational, NoSQL, and vector databases; Data pipelines: ingestion, cleaning, transformation, and enrichment; Unstructured data processing: text and documents; Entity linking, entity resolution, and network detection using graph algorithms Working closely with forward-deployed Data Scientists, we take end-to-end ownership of these components: from designing the architecture and implementing solutions together to overseeing deployments and maintaining and improving systems in production. Your key responsibilities🧑‍💻: You'll own a feature of Shift's Data & AI platform involving large language models (LLMs) and agentic workflows, from initial exploration to production, which will improve our fraud detection or payment integrity models. You'll be responsible for: Understanding the business problem with our clients, Product teams, and domain experts Exploring the state of the art, testing approaches, and identifying what works best for your use case Designing the solution alongside our Architects and AI Research Lab Building and integrating your feature within a cross-functional squad Evaluating and improving performance, measuring accuracy (precision / recall) and latency Deploying your feature into production in collaboration with our forward-deployed Data Scientists Along the way, you'll discover how Sales, Product, Engineering, Research, Data Science, Security, and other teams work together to deliver AI products to clients. Your work will go beyond a prototype: you'll help put an AI feature into production, powering solutions used by insurers around the world. Your profile and requirements✅: You are currently enrolled as a Master's degree student in Computer Science, Machine Learning, Artificial Intelligence, or Big Data. You possess strong technical skills in Python and Object-Oriented Programming (OOP) . Prior exposure to C#, Java or C++ (via coursework, internships, or personal projects) is a strong plus. You have a deep technical curiosity and a hands-on interest in modern AI paradigms (LLMs, agentic workflows, ML evaluation frameworks, and automation). You demonstrate a strong engineering mindset with an interest in code quality, system performance, and software design principles. You can provide a 6-month internship agreement ( Convention de stage ) signed by your school/university, starting around February 2027 Language requirements: English is mandatory at a fluent level. Why join Shift Technology as a Data & AI Engineer Intern? 🤸‍♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model. 🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team. 💶Your commitment, our investment : 2000€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team. 🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...) 🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI. What is next ? 🎯 If your application and experience meet our requirements, you can expect : Talent Acquisition interview (30 min) Technical interview 1 (60 min) Hiring manager interview (60 min) The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight: Flexible remote and hybrid working options Competitive Salary and a variable component tied to personal and company performance Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth Generous PTO and paid holidays Mental health benefits 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email ----- and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology. Find more English Speaking Jobs in France on Arbeitnow

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com Shift Technology : Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world's leading insurers. The QA Engineering Team 🧪: The Quality Assurance team, part of Engineering, makes sure that Shift can ship fast and safely. Our AI-driven software is deployed for insurers worldwide, across many multi-tenant environments, and we use Generative AI, LLM agents, and modern automation to solve quality challenges at this scale. Here are just a few of the areas we work on: Release validation: risk-based testing and delivery automation; Automated regression suites and test automation; Functional test coverage and test gap analysis; Test data generation and test environment provisioning; AI-powered QA tooling, built with LLMs and agents, that engineers and QA leads use every day Working with Engineering teams and QA leads, we replace manual QA effort with intelligent tooling, and we measure the time it saves. Your key responsibilities🧑‍💻: You'll own an end-to-end project that moves a real QA bottleneck from manual effort to intelligent tooling. You will build something the QA engineering teams use in their day-to-day work, not a proof of concept that stays on a shelf. Your subject will be defined with you during the selection process, within one of these example missions: AI-driven release validation: build a "release copilot" that analyzes release tickets and code changes to compute risk scores and generate risk-based test plans. It also helps run bug bash sessions (scope, assignment, triage, duplicate detection) and drafts test reports and release notes. Functional coverage and test gap analysis: use code intelligence and LLMs to detect shipped features, feature flags, and endpoints, map them against environment configurations and automated regression suites, and show untested areas in a live coverage dashboard. Synthetic test data and environment provisioning: design a data generation and seeding pipeline (CLI / API) that produces realistic, deterministic, and privacy-compliant datasets, so teams can provision and reset test environments on demand, integrated into CI/CD. Along the way, you'll learn how QA, Engineering, and Product work together to ship AI software to insurers around the world. Your project will go beyond a prototype: you will validate it on real releases, hand it over with documentation, and present the results to leadership. Your profile and requirements✅: You are currently in your final year (BAC+5, Master 2 or engineering school) in Computer Science, Software Engineering, Data, or AI. You have solid programming skills in Python , TypeScript/JavaScript , or C# . You have a good grasp of software testing fundamentals , Git , and REST APIs . You are autonomous and rigorous, with a strong sense of ownership. Nice to have: hands-on experience with LLMs, prompt engineering, or agent frameworks (LangChain, Copilot, OpenAI/Claude APIs); test automation (Playwright, Cypress); CI/CD (GitHub Actions, TeamCity); Docker/Kubernetes; SQL or lightweight dashboards (Streamlit, React, FastAPI). You can provide a 6-month internship agreement ( Convention de stage ) signed by your school/university, starting around February 2027 Language requirements: English is mandatory at a fluent level (French is a plus). Why join Shift Technology as a QA Engineer Intern? 🤸‍♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model. 🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team. 💶Your commitment, our investment : 1500€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team. 🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...) 🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI. What is next ? 🎯 If your application and experience meet our requirements, you can expect : Talent Acquisition interview (30 min) Technical interview 1 (60 min) Hiring manager interview (60 min) The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight: Flexible remote and hybrid working options Competitive Salary and a variable component tied to personal and company performance Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth Generous PTO and paid holidays Mental health benefits 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email ----- and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology. Find more English Speaking Jobs in France on Arbeitnow

Lead Software Engineer Reports to: Director of Engineering Department: Engineering 💼 About the role PQShield is looking for a Lead Software Engineer to help lead a cryptographic software IP team. As a Lead Software Engineer, you will be responsible for overseeing the entire software development lifecycle, from design to testing, and ensuring the delivery of high-quality software solutions. This includes planning, organizing, and managing the software development, including setting timelines, allocating resources, and tracking progress. You will work across a variety of environments, solving complex problems and developing other engineers, while maintaining a strong focus on quality and best practices. You will support the hiring, training, and managing of a team of software engineers, fostering collaboration, and resolving conflicts. Candidates should hold a degree in Electronic Engineering/Computer Science or equivalent experience, backed by at least 10 years in software design and/or verification. We are looking for a technical lead—or a senior engineer ready to step up into leadership—to guide our team. Knowledge of cryptographic engineering and side-channel attack resistance is a major bonus. You should be ready to contribute to cross-team strategy, lead architectural reviews, and drive planning for your team. Founded in 2018, we are a well-funded deep tech startup with proven technology and a clear path to market. Joining us now offers a unique opportunity to work directly with our founders and inventors, fast-track your career progression, and shape a rapidly expanding segment of the semiconductor industry (Post-Quantum Cryptography and RISC-V). This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the semiconductor industry (Post-Quantum Cryptography and RISC-V). ⚒️ What you'll be doing Working with other engineering leaders and project managers to plan and allocate work, ensuring we are delivering on our product roadmap. You'll be expected to take on a technical leadership role, and be responsible for coordinating and delivering application and embedded software IP design projects from conception to customer delivery. Line Management of a software engineering team: Identifying hiring needs, conducting interviews, and selecting suitable candidates for open positions. Orienting new colleagues, providing necessary training, and ensuring they have the tools and knowledge to succeed. Setting clear expectations, providing regular feedback, conducting performance reviews, and recognising and rewarding achievements. Identifying training and development opportunities to help colleagues grow their skills and advance their careers. Addressing under-performance, providing coaching and support, and taking disciplinary action when necessary. Fostering positive relationships with team members, resolving conflicts, and promoting a positive work environment Ensuring the software engineering team has all of the tooling and infrastructure it needs to function well. Mentoring other colleagues, and being a point of contact for software design expertise within the company. Working with verification engineers to review verification and test plans. Define architectural definitions for complex algorithmic and/or system level solutions. Providing feedback to colleagues on feasibility of implementation and specification quality. Working closely with other teams and project stakeholders, and acting as an enabler for their development work. E.g. coordinating with hardware engineers or our product vulnerability team. Engaging with customers, including helping with integration questions, or answering questions during technical sales calls. Ensuring clean lint and implementation reports for IP blocks and subsystems. 🎯 Required Skills And Qualifications Excellent written and verbal communication skills. Confidence in planning out a project development cycle and coordinating with project managers as development progresses. A commitment to high quality engineering in all areas of their work, including advocating for the best long-term solutions over the easiest or quickest. Self-starter with the ability to work with and inspire a team. Experience building software IP blocks from scratch, and owning the process from initial specification through to customer delivery. Expert level C experience in an embedded environment. Able to apply knowledge effectively in unfamiliar situations and actively maintains own knowledge and shares with others. Rapidly absorbs and critically assesses new information and applies it effectively. Specifies architectural solutions to technical challenges across multiple technical domains. Understanding of cryptographic algorithms, protocols, and key management systems. 👍 Preferred Skills And Qualifications Familiarity with PQC standards and protocols (e.g., NIST PQC). Familiarity with Rust in an Embedded environment. Previous experience with software/hardware co-designs. Arm & RISC-V experience. Knowledge of side-channel security countermeasures. Confidence using Gitlab CI, or otherwise principles of continuous integration and testing. Confidence with the Python programming language. Previous experience managing a cross-functional software team successfully. 🏆 Some of the perks of working with us: Unparalleled opportunities to learn and accelerated career development. A collaborative, team environment with people who truly love what they do. Competitive salary and share option scheme. Flexible and hybrid working, and a working from home budget. Private health insurance for yourself and your family. 25 days annual leave (plus bank holidays and two wellness weeks). 50% gym membership discount. The chance to work with a spirited, smart, and friendly team! PQShield is an Equal Employment Opportunity employer. We're passionate about talent and proud to foster an inclusive environment; all applicants will be considered regardless of their gender identity, ethnicity, sexual orientation, disability, and age. Find Jobs in United Kingdom on Arbeitnow

About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Power and Low Carbon Solutions practice is growing and we will be looking for experienced Platform Software Engineers to join the team. If you are interested in roles like the one described here, please register your interest and we'll be in touch as soon as something suitable becomes available. Baringa are world leaders in modelling energy markets and using the insights these models provide to drive change in a decarbonising energy industry. We deal with highly varied modelling, data, and processing - everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. Our staff come from diverse backgrounds, based across multiple geographies, and utilise a variety of technologies, tools and analytical modelling approaches. They need rapid access to data, analytics outputs, and processing through GUIs, APIs and other systems, whilst being given the confidence that everything is compliant, licenced and well-governed. Our scale and model complexity has now reached a point that to continue to achieve our business vision, we are building a dedicated global Platform team. We will be looking for experienced software engineers to join as core members of this team to help architect, implement and support the tools that will be fundamental to Baringa's ongoing growth and success. This is a high calibre team, where curiosity and a thirst to understand the problem space is not just encouraged, but prioritised. There will be a range of engineering challenges to solve at all levels, requiring the flexibility to adopt the right technology for a given problem space. Our next generation platform will be core to driving significant improvements to the lives and capabilities of our Baringa colleagues in the energy modelling space. Successful candidates will be given responsibility and freedom from day one, trusted to challenge and be challenged in turn, in an environment that rewards creativity and entrepreneurship as we build the foundations for Baringa's future. Come and join us to be part of the energy transition, the defining challenge of our lifetimes, where your technical skills and experience can have real impact. What you will be doing: We will be looking for an experienced software engineer to be a core member of the new Platform team, working closely with the Engineering Lead. You will be working within our Energy and Resources group to: Be an integral part of the design, build, and ongoing development of a new data platform, with associated tools and software - this will be almost entirely greenfield opportunities to create a holistic user experience for Baringa staff. You will assist the Engineering Lead in the selection of technologies and approaches to build everything from big data platforms through to browser plugins and shared functional libraries. Work closely with the Engineering Lead to engage tool developers, energy system modellers, client facing energy experts and users across the business to build a platform and supporting toolchain that fulfils the needs of your Baringa colleagues. Be a driving force in the development, automated testing and deployment of the new platform, utilising best-practices to ensure quality, reliability and monitoring is built-in from inception. Work with the team to build a DevOps pipeline with robust CI and CD practices, with a focus on evolving our processes to improve our team's engineering experience. Be an active part of the team's agile development approach, from refinement through to demonstration and feedback, helping drive the continuous improvement of team processes as we grow and mature. Your skills and experience: We will be looking for people to join the team who will be committed to designing and building high quality and fit-for-purpose systems, enabling our staff to maximise the creation, utilisation and management of the various models, tools and data frameworks that enable market-leading insights for our clients. You are passionate about building the 'right' solution to problems, and understanding the 'why' behind what you're building to support Baringa's work in the energy sector. You have practical experience as a senior engineer in highly motivated engineering team(s), collaborating closely with colleagues and taking pride in what you create. You are great at problem solving and see all technologies/engineering as a means to achieve this. You have advanced working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (Azure, AWS) and IaC (e.g. Terraform, Pulumi) You have worked with different frameworks throughout technology stacks (e.g. React/Angular/Vue/Blazor frontends etc., FastAPI/Spring Boot/Django/.NET backends etc.) You have experience building and working across different architectural approaches, and are confident in justifying your technology and architectural choices. You are passionate about communicating complex concepts succinctly to both technical and non-technical colleagues and clients to reach a common understanding. You have experience working with agile methodologies (e.g. Scrum/Kanban), with an understanding of the key principles that underpin its effective use. We've seen the research that says that some candidates will not apply to a role if they don't meet every requirement, so don't let this put you off. If you think you are a good overall match please do get in touch – we look carefully at all applications and you may well be our ideal candidate. What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the 'ideal' work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We've introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company's success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our 'Great Place to Work' – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice , to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC) , to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC) , to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore's Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at <a ---------- Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You'll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation. What You'll Need to Thrive You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome. You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems. You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome. You are proficient in Python and experienced with modern ML frameworks and large-scale data processing. You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results. You communicate complex technical ideas clearly and work effectively with cross-functional partners. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo 'Shopping', where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we've developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We're looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you'll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You'll Be Doing Here's what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team's remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You'll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You're excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we're intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you'll join as a Software Engineer on the ' BrandX' team, which is part of the wider ' Order Engineering ' group. BrandX (Brand Experience) builds the tools restaurant brands and Olo's internal teams use to run their business on Olo. We own the Dashboard that brand operators log into every day, the internal Admin application, and the billing and invoicing systems that turn platform usage into invoices. We also own how brands sign in and manage their users, including SSO and two-factor authentication, and we are building Olo AI Assist, a natural-language assistant inside the Dashboard. The team is seven engineers spread across the US and Europe, and you'd be our first hire in Northern Ireland. Because the team sits between brands, Finance, and the rest of Order Engineering, the work is varied. One week you might be shipping a new Dashboard settings page, the next you're tracing a billing discrepancy across our finance integrations or teaching Olo AI Assist a new skill so a brand can update hours across hundreds of stores just by asking. You'll pair with senior engineers, review and ship code most days, and use Claude Code as a normal part of how you work. How you'll make an impact Learn the BrandX domain and technology stack, and get to know the brands, Finance partners, and Order Engineering teams we work with. Own small-to-medium features end to end, from understanding the requirement to shipping it, with senior engineers available when you need them. Write code that meets our standards, and participate in code reviews as both author and reviewer. Build reliable and maintainable software, with test coverage that matches the risk of the change. Contribute to the team's delivery pipeline, including test coverage, CI, and deployment practices. Use Claude Code and GitHub Copilot as your default way of building, and help the team push what these tools can do. Troubleshoot and debug production issues, learning how our systems fit together along the way. Participate in team ceremonies such as daily stand-ups and retrospectives, sharing updates and feedback. Take part in learning activities, including game days and training sessions, to build familiarity with Olo's tools and processes. Join the on-call rotation, with responsibilities that grow as you learn the team's systems. What will set you up for success Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 1 to 3 years of professional software engineering experience, or a strong portfolio of shipped projects. Working knowledge of C# and .NET, and comfort reading code you didn't write. Some experience building web UIs. We use React and TypeScript, but any modern framework is a fine starting point. Comfortable with SQL and relational data. A lot of our work is understanding how data moves between systems. You understand the difference between unit, integration, and end-to-end tests and when each one earns its place. AI coding agents are your default way of working. You use tools like Claude Code daily, you can explain the fundamentals underneath what they generate, and you're excited about a team that expects you to push them further. You ask questions early, write things down, and are comfortable working with colleagues in other time zones. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology's positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com . Applicant Privacy Notice (United Kingdom) Find more English Speaking Jobs in United Kingdom on Arbeitnow

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time. About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions Our Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) #LI-PRIO Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI. Find Jobs in United Kingdom on Arbeitnow