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About 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 Super 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 enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal tooling for building, testing and integrating together the ML Software Stack Developing tools and technical processes for Software Releases Providing guidance to developers on best build practices and dependency management Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack Working closely with QA and the ML Software Stack to resolve any integration issues Contributing fixes towards the ML Software Stack Essential: Knowledge of Python/C++ (or similar language) Understanding of Build Processes and Frameworks Experience working in Linux environments Good communication skills Desirable: Experience with Remote Caching and Execution (e.g. Bazel) Experience with Build Tools (e.g. CMake) Experience with Testing Frameworks (e.g. PyTest, GoogleTest) Experience with Integration Tools (e.g. Buildstream) Experience working within the Software Development Lifecycle (SDLC) Experience with building and using containers (e.g. Docker, Podman) An understanding of Software Architecture patterns Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications Find more English Speaking Jobs in United Kingdom on Arbeitnow

About 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 Super 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 enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal tooling for building, testing and integrating together the ML Software Stack Developing tools and technical processes for Software Releases Providing guidance to developers on best build practices and dependency management Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack Working closely with QA and the ML Software Stack to resolve any integration issues Contributing fixes towards the ML Software Stack Essential: Knowledge of Python/C++ (or similar language) Understanding of Build Processes and Frameworks Experience working in Linux environments Good communication skills Desirable: Experience with Remote Caching and Execution (e.g. Bazel) Experience with Build Tools (e.g. CMake) Experience with Testing Frameworks (e.g. PyTest, GoogleTest) Experience with Integration Tools (e.g. Buildstream) Experience working within the Software Development Lifecycle (SDLC) Experience with building and using containers (e.g. Docker, Podman) An understanding of Software Architecture patterns Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications Find more English Speaking Jobs in United Kingdom on Arbeitnow

About 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 Super 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 enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal tooling for building, testing and integrating together the ML Software Stack Developing tools and technical processes for Software Releases Providing guidance to developers on best build practices and dependency management Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack Working closely with QA and the ML Software Stack to resolve any integration issues Contributing fixes towards the ML Software Stack Essential: Knowledge of Python/C++ (or similar language) Understanding of Build Processes and Frameworks Experience working in Linux environments Good communication skills Desirable: Experience with Remote Caching and Execution (e.g. Bazel) Experience with Build Tools (e.g. CMake) Experience with Testing Frameworks (e.g. PyTest, GoogleTest) Experience with Integration Tools (e.g. Buildstream) Experience working within the Software Development Lifecycle (SDLC) Experience with building and using containers (e.g. Docker, Podman) An understanding of Software Architecture patterns Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications Find Jobs in United Kingdom on Arbeitnow

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticated prompt engineering strategies optimized for customer-specific domains and data Build and maintain prompt libraries, templates, and best practices for customer use cases Conduct systematic prompt experimentation and A/B testing to improve model outputs Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Leadership & Collaboration Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration Work closely with Scale's product and engineering teams to translate customer needs into product improvements Document technical architectures, integration patterns, and best practices Problem Solving & Innovation Debug complex technical issues across the entire stack, from data pipelines to model outputs Rapidly prototype solutions to unblock customers and prove out new use cases Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems Identify opportunities for productization based on common customer patterns Required Qualifications 5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API) Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Preferred Qualifications Agent Development Wiz Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures Experience building and deploying AI agents or autonomous systems in production Knowledge of vector databases and semantic search systems Contributions to open-source AI/ML projects Infrastructure Guru Experience with containerization (Docker, Kubernetes) and CI/CD pipelines Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools Previous work in a devops, platform, or infra role Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role Domain expertise in verticals like finance, healthcare, government, or manufacturing Experience with technical enablement or teaching programs Sample Projects The following are some examples of the types of projects we've worked on with customers. All of these projects leverage customer data, integrate directly into customers' existing systems, and are deployed on their infrastructure. Deep Research for Due Diligence For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Churn Prediction Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. Data Extraction Voice Agent We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ----- Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Senior Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: · You have a total of 4+ years of experience as a software engineer. · You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes. · You have experience shipping web apps using declarative UI frameworks like React or Vue. - You efficiently use AI to assist you to deliver high quality products on a daily basis · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Base Pay Grade - N Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £120,000 - £168,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: · With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. · You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For: · You have a total of 1.5+ years of experience as a software engineer. · You have experience shipping web apps using declarative UI frameworks like React or Vue. · You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. · You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. · You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Base Pay Grade - L Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £101,000 - £149,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find Jobs in United Kingdom on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Identity at Affirm is mission-critical; it is the very first step of the customer journey and the foundation of global expansion. The International Expansion Unit (IEU) owns Identity for every market outside North America, placing our team at the center of Affirm's global strategy. We are responsible for ensuring Affirm can enter and scale in new markets while operating compliantly across diverse regulatory environments. Our scope includes building and expanding Identity Data Management, KYC Verification, and Decisioning capabilities, while driving architectural changes that impact Identity services globally. We don't just execute; we influence the core platform's evolution to support new risk models and market dynamics. Operating at the intersection of technical depth and regulatory complexity, we directly impact approval rates, conversion, and fraud exposure. By joining this team, you will shape the foundational processes that unlock revenue and build customer trust on a global scale. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team's operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support "keep the lights on" & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £142,000 - £190,000 Location - Remote UK #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find Jobs in United Kingdom on Arbeitnow

About Tracium Tracium builds AI-assisted technical documentation software that turns complex manuals and engineering documents into structured, traceable information. Our initial focus is maritime, with applications across manufacturing, aerospace, and defence. We combine document intelligence with S1000D authoring to help technical teams extract maintenance information, create documentation, and verify AI-generated suggestions against their sources. Your role You will own the AI capabilities behind our document intelligence platform—from understanding complex PDFs to extracting information that engineers can review and use. What you'll do Build pipelines for document parsing, OCR, layout understanding, and extraction from text, tables, and diagrams. Develop retrieval and AI workflows for technical question answering and maintenance information extraction. Design structured outputs with validation and references to source documents. Build evaluation datasets and measure extraction accuracy, retrieval quality, and unsupported outputs. Improve model performance, processing speed, and cost across cloud and private deployments. Work with product and engineering colleagues to bring prototypes into production. What you bring Experience delivering AI or machine learning systems into production. Strong Python and software engineering skills. Practical experience with LLMs, structured extraction, retrieval, and evaluation. An understanding of document processing challenges, including imperfect scans and complex layouts. The ability to investigate failures systematically and make clear technical trade-offs. Clear communication in English. Useful additional experience Technical manuals, industrial documentation Multimodal models, open-source model deployment, or GPU inference. Private, on-premises, or restricted-network environments. Why join Tracium? Help shape the core AI architecture of an early-stage product, work directly with the founders, and solve document problems with clear operational value. Apply Send your CV or professional profile and a brief example of an AI system you have built. Public repositories, demos, or a short technical write-up are welcome. We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply. Find Jobs in Germany on Arbeitnow

If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, join The City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life. The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request. The Green Line LRT - SE Project is hiring Engineer in Training (EIT) positions to support the successful delivery of the program. The EITs will have an opportunity to develop the 22 engineering competencies, as per the Association of Professional Engineers and Geoscientists of Alberta (APEGA).Reporting to the Manager - Technical Design, you will assist the Technical team with design related activities leading up to, and during construction. Primary duties include:Assist Senior Engineers with technical design development and coordination of Green Line infrastructure, systems, and multidisciplinary deliverables.Plan and coordinate multi-disciplinary functions to achieve integrated design solutions.Support design scope, technical risks, interfaces, and change management.Support planning, scheduling, cost management, and quality assurance activities associated with project design and execution.Coordinate technical discussions between The City, Business Units, partner organizations, contractors, consultants, and internal project teams.Plan and coordinate technical reviews, design workshops, value engineering initiatives, and constructability assessments to optimize project outcomes.Assist Senior Engineers with procurement, contract administration, testing and commissioning, and issue resolution throughout project delivery.Assist Senior Engineers with compliance checks against applicable industry standards, Calgary Transit requirements, environmental commitments, and safety management processes.Support strategic planning, innovation initiatives, and continuous improvement efforts within the Technical Design team. QualificationsA degree in Civil Engineering or Related Engineering Discipline and registration as an Engineer-In-Training (EIT) by the Association of Professional Engineers and Geoscientists of Alberta (APEGA) by the first day of work.Those hired prior to graduation from an undergraduate Engineering degree must be registered as an Engineer-In-Training (EIT) with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) no later than three months from their start date.An intermediate proficiency with Microsoft Office (Word, Excel and Outlook).Experience with design and project management is considered an asset.A valid Class 5 Driver's License (or a provincial equivalent) with no more than 6 demerits and no current suspensions or charges pending.Ability to obtain a City of Calgary operator's permit.Excellent interpersonal and communication skills, great organizational skills and problem-solving skills are required for success in this position.A demonstrated ability to interpret and understand technical information, as well as the ability to follow directions, and strong business skills are required to excel in this role. Pre-employment Requirements Successful applicants must provide proof of qualifications. Workstyle This position works full time from the office, with no remote work options available. Pre-employment Drug Test: An offer of employment for this position will be condi

If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, join The City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life. The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request. As a Senior Data Strategist, you will lead the translation of business strategies and requirements into specific data solutions, taking overall responsibility for all aspects of solution delivery, from inception through design, development, implementation, and evaluation. This position oversees and coordinates daily operations to support activities including troubleshooting, maintaining, enhancing, and monitoring analytics and business intelligence solutions to get a clear understanding of how The City performs using business and communication skills to influence how the organization tackles business challenges. Primary duties include:Lead the building of data pipelines to bring together information from different sources systems and transforming them into a format that can be easily analyzed.Determine how data is managed from collection through to transformation, distribution, and consumption.Work closely with other external Project Specialist, System Architects, Data Scientists, Visualization Data Strategist, and Data Analysts. Oversee architecting solutions that integrate, consolidate, cleanse and structure data for use in analytics and dashboard applications.Implement and improve solutions where the business and information technology work together to ensure the uniformity, accuracy, stewardship, consistency, and accountability of the enterprise's official shared master assets.Design, develop, document, and perform master data quality checks across the data assets under the advanced analytics domain and maintain data quality assurance throughout the data repositories to ensure the quality of data delivered to internal interested parties and the public from our various products.Define the respective data model and underlying data structures. Develop and manage a data model which provides the details of City information, how it is to be stored.Work with interested parties to develop a good understanding of the business context, provide expert judgement and analysis for the architecture design, development, and implementation of diverse types of data solutions including integration, migration, reporting, data warehousing and application data layer.Develop descriptive, prescriptive, and predictive models with state-of- the-art machine learning techniques.Use statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. Qualifications A degree in Business, Science, or related field plus at least 7 years of experience with major IT data solutions implementation, ideally in a large, complex, and highly regulated service organization.Experience in developing, implementing, and monitoring data architecture, data integration, data warehousing, data modeling, dimensional/star schema, master data management, data engineering, data analysis, and continuous improvement of data and data processes is required.Demonstrated experience with SQL, Python, ETL processes, and Power BI is required.Experience with SAP Business Obj

Req Id: 431626Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell. On the Consumer and Small business team you'll work across a portfolio of brands and solutions. From Bell's best networks for the home, the office and on the go to the member benefits at Virgin Plus to the cheap and cheerful plans at Lucky Mobile we meet the connectivity needs of all customer segments in Canada. And it's not just the options we provide, it's how we provide them. On this team you'll be a part of a focus to continuously improve the customer experience, making it more seamless, intuitive and responsive. SummaryAre you a naturally curious problem-solver who loves digging into complex data to find the "why" behind the numbers? We are looking for a dynamic Specialist, Channel Compensation,who pairs strong financial and data skills with a strategic, big-picture mindset. In this role, you will take the lead on projects from start to finish, helping design the future of our compensation strategy. Your work and insights will directly influence executive decisions and drive business innovation.Reporting to the Senior Manager, Channel Compensation, the successful candidate will play a key role in overseeing the projects, financials, and analytics that drive our compensation strategy.Key ResponsibilitiesDesign and manage compensation plans under various financial and strategic scenarios, ensuring alignment between business strategy and budget constraints.Partner closely with Finance to keep our budgets on track, manage the accrual process for accurate forecasting of future cash flows, and lead variance analysis to explain historical compensation trends.Analyze large datasets from various systems to perform deep-dive reviews, spotting outliers, anomalies, and opportunities for optimization; build driver-based models, use case analyses, and post-mortems to incorporate company strategy, key priorities, and business innovations.Translate complex data and strategic findings into clean, high-impact presentations and recommendations for senior leadership.Lead cross-functional projects to implement compensation strategies for new products and initiativesCritical QualificationsUniversity degree in Finance, Business, Mathematics, Statistics (or related field) and 2?3 years of relevant work experiences.Strong business sense with a natural ability to think logically, analytically, and "outside the box" to find fresh solutions for complex and ambiguous problems.A self-starter with proven project management skills, capable of driving projects from end-to-end and collaborating effectively across business units (e.g., Sales, Finance, Operations).Strong capability to work with massive data, build complex analytical models and translate those strategic findings into compelling presentations for executive decision-making.Highly detail-oriented with a strong focus on accuracy and a sharp eye for identifying anomalies or inconsistencies in complex data and processes.High proficiency in MS Excel, Word and PowerPoint, with the ability to pull your own queries using languages like Teradata, SQL, SAS, or similar tools.Adequate knowledge of French is required for positions in Quebec.Additional Information:Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto Work Arrangement: Hybrid Application Deadline: 10/23/2026 For w

We're looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight — scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you'll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder's mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape. This is a full-time, in-person role at our Victoria office. What you'll do: Support the building of data acquisition and preparation processes Creating data integration scripts and executing analytical queries that transform and utilize data for business insights Data pipeline maintenance/testing Facilitate data cleansing and data enrichment Identify ways to improve data reliability, efficiency, and quality Prepare data for predictive and prescriptive modeling Support machine learning operations (MLOps) Enable searching, data visualization, and advanced analytics — including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the business Design, build, and maintain a semantic layer of data — a governed, business-ready data foundation that serves as the trusted source for BI, reporting, and AI data agents Work with stakeholders to understand needs for data structure, availability, and accessibility Selecting and integrating any data tools and frameworks required to provide requested capabilities Implement data security and protection practices Designing and developing databases Create technical documentation, such as user manuals, process flow diagrams, system architecture diagrams, etc. Responsible for ensuring the accuracy and quality of data What you bring: EXPERIENCE/TRAINING/EDUCATION: At least four years' experience is preferred. COMMUNICATION SKILLS: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Problem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial. REASONING ABILITY: High Skills: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. MATHEMATICAL SKILLS: High Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. SKILLS/ABILITIES: Knowledge of various ETL techniques and frameworks Strong background with data modeling, data access, and data storage techniques Proficiency in Application Development code like Python, C#, R or Java Strong background to manage the entire back-end development life cycle of a data warehouse Proficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those Know