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OAG is the essential intelligence partner transforming global travel. For nearly a century, we've been the foundation the travel industry builds on, trusted, proven, essential. Today, we're going beyond. We combine unmatched data quality, quantity and access with breakthrough technology and deep industry expertise to deliver what the industry truly needs: not just more data, but better answers. From real-time operational intelligence to strategic decision-making, we power the entire travel ecosystem, from airlines and airports to technology companies and financial institutions. We are actively embedding AI throughout our intelligence layer, combining nearly a century of proprietary data with the latest technology to deliver answers that were simply not possible before. We exist because travel moves the world, and we move travel. By transforming complexity into clarity and questions into answers, we give our partners the intelligence they need to thrive in an evolving world. For more information visit www.oag.com ABOUT THE ROLE: OAG Digital is the team turning our world-class data into a product-led growth engine: a unified experience where customers can discovery, try, pay and use on their own. We build the platform customers use to find, buy and use our data, and the intelligence products that turn that data into answers. This is the most senior individual contributor role on the technical side of Digital. Its purpose is to turn the Digital strategy into a technical strategy that delivers it: deciding what gets built, in what order and to what standard, so the business can sell what it has committed to sell. A decision taken in one team should still work in another, our promises to customers on access, security, reliability and cost should hold on every channel, and the hardest problems should get solved once. You'll work across two areas. Core is the platform backbone: identity, auth, entitlements, billing, usage metering and the infrastructure everything else depends on. Intelligence is the layer above the data: AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. The role is hands-on. You'll write production code on the hardest parts of the platform while setting direction, reviewing designs and helping other engineers do better work. We care about UX as much as throughput, and we're AI-native: tooling is part of how we develop, not an afterthought. This role can be worked remotely from anywhere in the UK only. Please note that we're unable to offer visa sponsorship, so applicants will need the existing right to work in the UK. WHAT YOU'LL BE DOING Design and build the hardest parts of the platform, hands on: how customers get to the right data and products, how that access is controlled, and what it costs us to serve. Stay close enough to the code that the design still holds once it's built Set the technical direction for problems that cross team boundaries: how customers are identified, what they're allowed to use, how usage is measured and charged, and how existing customers and older systems move onto the new platform. Write the design down, get agreement, and stay with it through delivery so teams build to one approach rather than several Set the standard for products built on AI and machine learning: define what a feature must do before it ships (show where its answer came from, be honest about how current the data is, fail predictably, be tested repeatably). Set the technical brief for data science teams, including how a model will be judged and the speed and cost it has to work within, and push back when a model isn't the right tool Work with the teams and partners outside Digital who build against your designs, including other parts of OAG and third parties. Share designs early, take feedback, change course where they're right, and make the call when a cross-team decision has been open too long Integrate AI models, data pipelines and event-driven systems on Databricks and Snowflake into the Intelligence layer Improve how the whole of Digital builds software: review designs and code beyond your own team, mentor senior engineers, and make the good way to do something the easy way. This includes making AI-assisted development reliable, with the checks needed to keep quality high Maintain the quality bar through code reviews, automated testing, observability, and CI/CD. WHAT WE'RE LOOKING FOR Extensive experience building and running production software end to end , from system design through to operating it live Technical leadership beyond a single team: a track record of influencing engineers and teams you don't manage, and building agreement across them System design across boundaries : systems that stay correct, fast and affordable when several teams, several delivery channels and a shared data platform are all involved, and sound judgement on when to solve something once centrally versus letting each team solve it Hands-on experience in analytical or data-intensive contexts and depth in large-scale data platforms : how they're built, governed and paid for, including keeping one customer's data separate from another's, controlling access at the data layer, tracking data lineage, and keeping query cost under control Machine learning and AI in production: enough understanding of how models and agents are built, trained and evaluated to set the technical brief for the data science team, read an evaluation critically, and judge whether a result will hold up in the real world. Experience taking AI-powered features into production and making them reliable, cost-effective and trustworthy for customers. Judgement under uncertainty, with commercial awareness: you understand that technical choices affect what the business can charge and what it costs to serve a customer, and you know when to decide and when to wait Clear communicator who can explain direction, risk and trade-offs so that engineers, product, commercial and senior leaders all take away the same thing A builder's mindset . You understand the who and the why, and you own what ships AI-native in how you build: you use AI tooling with judgement, stay current with how agentic development is evolving, and help make effective agentic practices the norm across the team If you don't meet every requirement but feel excited about this role, we'd still love to hear from you. WE WILL OFFER YOU 🚀 A progressive, non-hierarchical culture where innovation drives everything we build 🏡 Flexible working arrangements that allow remote work or office attendance 💰 An attractive compensation and benefits package, including access to a Simplyhealth cash plan to support your everyday health and wellbeing, a company bonus scheme, Octopus EV salary sacrifice scheme and enhanced pension scheme 🏖️ 25 days holiday plus bank holidays, volunteering days and additional day off during your birthday month 👪 Inclusive family benefits designed to support you through parenthood and fertility journeys 🌍 Work remotely anywhere in the world for up to 1 month per year 📚 Annual learning and development budget. OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best. We welcome applications from people of all backgrounds and experiences. If you require reasonable adjustments at any stage of the recruitment process, please let us know. We are happy to have an open conversation about how we can support you. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Auterion builds a cutting-edge operating system for autonomous robotic systems that empower a diverse range of platforms to perform surveillance, reconnaissance, inspection, mapping and logistics tasks. Our industry-leading software drives the adoption of robotic fleets and is recognized by the U.S. government as the future standard for its drone programs. We are looking for a Senior Embedded Performance Engineer who is passionate about getting the most out of embedded systems — from low-level Linux tuning and hardware integration to high-performance video and data pipelines. This role is ideal for someone who enjoys working close to hardware, moving across the stack, and solving the kinds of problems where milliseconds, bandwidth, startup time, and system efficiency matter. You will work across the AuterionOS ecosystem on topics such as: Embedded Linux performance and system tuning Low-latency video streaming and media pipelines C/C++, Python, and Bash-based platform development Hardware integration, system profiling, and end-to-end optimization Collaboration with experienced and driven engineers across Auterion Responsibilities Work within the Apps & Simulation team and collaborate with other development teams to build high-performance products for autonomous systems. Design, optimize, and maintain performance-critical components within AuterionOS, Auterion's custom embedded Linux distribution. Improve end-to-end system behavior across compute, networking, video, and hardware interfaces, with a strong focus on latency, throughput, reliability, and resource efficiency. Analyze and optimize demanding workloads such as real-time telemetry, video streaming, media processing, and communication between distributed system components. Investigate system bottlenecks across the full stack, from kernel and OS behavior to application-level code and tooling. Collaborate with engineering and product teams to understand both internal and customer use cases, and translate them into robust technical solutions. Propose and implement new platform capabilities with a strong emphasis on measurable performance gains in real-world deployments. Participate in daily stand-ups, release planning, and prioritization discussions. Qualifications and Skills B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field. 5+ years of professional experience writing object-oriented C++ and/or Python. Deep experience with embedded Linux systems, including cross-compilation, debugging, profiling, and performance tuning. Strong hands-on background in diagnosing and optimizing real-world system behavior, including CPU, memory, I/O, networking, boot time, and application latency. Experience building or optimizing low-latency video or data-streaming pipelines, ideally on embedded platforms. Excellent understanding of software systems that span embedded devices, higher-level applications, and fully integrated products. Strong software engineering fundamentals, including system design, implementation, debugging, and testing. Experience with video codecs, GStreamer, RTP/RTSP, or hardware-accelerated media pipelines. Solid experience with Debian/Ubuntu-based systems, Bash scripting, and systemd. Experience with Docker and docker-compose in complex development and deployment environments, as well as qemu. Strong debugging and performance analysis skills at both system and application level, combined with a proactive and self-directed working style. Proficient in ROS2/DDS-style middleware and experienced with networking across multiple OSI layers, including REST APIs and performance-sensitive communication paths. Experience with system integration and interfacing sensors or peripherals, especially via USB and Ethernet. Experience working in an agile engineering environment with stand-ups, sprint planning, and shared ownership across teams. Bonus: Experience with build systems such as CMake, including improving build performance in large-scale software projects. Benefits Flexible working hours Stock Options Generous holiday allowance Company pension plan Car parking Enhanced maternity & paternity leave Mental health and wellbeing support Learning and development opportunities About Auterion We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters. Find more English Speaking Jobs in Switzerland on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

Job title: Machine Learning Engineer – Lumen Enterprise Models (SWE-focused LLMs) Location: London; full in-office working as default Start date: ASAP Reports to: CEO Compensation: Salary and Equity options available for discussion Application deadline: 08/11/26 at 23:59 UK time Help train the software engineers of the future Cosine is building autonomous software-engineering systems for organisations where reliability, security and control matter most. Our Lumen Enterprise models are designed to work across real codebases. They need to understand unfamiliar architectures, make changes across multiple files, use tools, run tests and produce software that engineers can maintain and trust. We're looking for a Machine Learning Engineer to help train and improve these models. You'll work across the full training stack, including pre-training, supervised fine-tuning and reinforcement learning. This is a truly unique role that will provide exposure across all areas of the model training lifecycle. WE're looking for someone who is just as happy to profile the training loop, identifying performance bottlenecks and memory leaks, as implementing new RL algorithms. This is a hands-on role for someone who enjoys working close to the model and cares about the quality of the software it produces. The role You'll work closely with research, infrastructure and product to answer questions such as: What should Lumen learn next? Which data and environments will teach it most effectively? How should we reward correct, maintainable and useful software? How do we train models to work across large repositories and long contexts? How do we know when a model is genuinely better for engineers? The models you train will write code, use development tools, run tests and receive feedback from real software-engineering environments. Your work will directly influence how Lumen reasons about code, navigates unfamiliar systems and improves through experience. Why this role matters The best coding models are not simply the ones that generate plausible code. They need to understand context, respect existing architecture, use tools effectively, test their work and recover when their first attempt fails. They need to produce changes that work in the real world, not just on a benchmark. That behaviour has to be trained. You'll work directly on the data, environments, rewards and evaluations that shape Lumen's capabilities. Your work will influence the models used by engineers and enterprise teams working on complex and security-sensitive software systems. This is an opportunity to work on frontier model training while staying close to a concrete, high-value outcome: building AI that can genuinely do software engineering. What you'll do Work across the full training lifecycle, running pre-training, supervised fine-tuning and reinforcement-learning experiments. Optimize training methods at scale on frontier models. Diagnose and fix performance bottlenecks and communication overhead in distributed training environments. Train models on long-context, multi-file and repository-level tasks. Develop RL and RLVR loops using signals from execution, tests, linters, static analysis and other engineering feedback, turning fresh ideas into scalable, reproducible code. Investigate model failure modes such as poor planning, brittle fixes, reward hacking and regressions. Collaborate with infrastructure, platform and data teams. What we're looking for You may come from machine learning research, applied ML, model training or a closely related engineering background. You should have: Strong experience training deep-learning models in a production or research environment. Deep practical experience with PyTorch or a comparable framework. Experience with distributed training and multi-GPU systems (FSDP, Deepspeed, …) Strong software-engineering fundamentals and a high bar for correctness and maintainability. Clear communication and the ability to explain technical trade-offs. Experience with large language models is important. You should have worked meaningfully on at least one of, pre-training, SFT, preference optimisation, RLHF or RLVR. We care more about depth of understanding and evidence of strong technical judgement than about having used every tool listed. Even if you don't tick every box, please consider applying! A bonus if you have Experience with mixture-of-experts (MoE) architectures. Experience with CUDA. Familiarity with vLLM, SGLang or other high-performance inference systems. Experience running jobs on SLURM, Kubernetes or managed GPU platforms. Experience with code-model benchmarks such as SWE-bench, HumanEval or internal repository-level evaluations. Contributions to open-source model-training, RL or evaluation tools. Why join Cosine Direct impact: Your work directly shapes the next generations of Lumen Enterprise SWE models that engineers use every day. Real scale: You'll work with large, modern open-source models, long context lengths, and multi-node training runs. Full-stack ML engineering: From custom PyTorch code and distributed systems to data curation, RL design and MLOps. Research + pragmatism: You'll stay close to the latest literature in SFT, and code LLMs, but you'll be judged by shipped improvements, not just ideas. If this sounds like a fit, this is a role where you can meaningfully push the frontier of open-source–based software engineering models. Cosine is an equal opportunity employer. We value diverse backgrounds, perspectives, and ways of thinking, and we're committed to creating an inclusive and respectful workplace. We encourage applications from anyone who meets the role requirements, even if you don't meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we're happy to discuss them. Compensation, Benefits & Ways of Working We're an in-office team, five days a week, by design. We believe the work we're doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary , benchmarked to the market Equity / share options , so you share in the upside you help create 30 days' holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Weekly team breakfast & lunch Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won't suit everyone. But if you're looking for a fast-moving environment, close collaboration, and a team that takes both the work and work-life balance seriously, it's a great place to be. ___ Agency & Data Protection Notice To comply with UK GDPR and our internal data-protection and equal-opportunity obligations, we only accept candidate applications and agency submissions via our Applicant Tracking System (ATS). This ensures appropriate privacy notices, lawful processing, auditability, and consistent retention controls. Any CVs or candidate details received outside the ATS (including via email, Slack, or direct message) will be treated as unsolicited, will not be considered as part of the recruitment process, and will not give rise to any fee or payment obligation. Find Jobs in United Kingdom on Arbeitnow

Job title: Applied ML Technical Lead, Defence Location: London; full in-office working as default Start date: ASAP Reports to: CEO Compensation: Salary and Equity options available for discussion Clearance: Must be eligible to hold UK Security Vetting Clearance SC or above (no prior clearance required) Application Deadline: 08/11/26 at 23:59 UK Time Help put frontier AI to work in Defence Cosine is a UK AI lab building models, applications and training infrastructure for mission-critical organisations. We build coding agents that work across real software systems, specialised Lumen models, AI-native security products and the infrastructure needed to deploy advanced AI in demanding environments. Our customers include some of the world's largest enterprises, including organisations operating behind strict security, regulatory and technical constraints. We're also training Lumen Sovereign, the first frontier large language model trained in the UK, with the support of the UK Government. We're now looking for an Applied ML Technical Lead to help develop and deploy advanced AI capabilities for organisations operating in UK Defence and national security. This is a hands-on technical leadership role. You will work across machine learning development, deployment and customer-facing technical delivery. You may spend part of your time training and evaluating models on complex sensor data, and part of your time working with Defence stakeholders to understand operational needs, shape priorities and guide delivery. You will not be expected to act as a traditional project manager. Instead, you will own the technical direction and day-to-day progress of applied ML work, coordinating the people and decisions needed to turn promising research into useful operational capability. What you'll do Build ML capabilities for real Defence problems Design, build, train and evaluate machine learning models for challenging applied Defence and national security use cases. Work on problems involving complex sensor data, signal processing, pattern recognition, classification and multimodal intelligence. Develop and improve model architectures, training pipelines, evaluation frameworks and inference systems. Work with real-world and synthetic datasets to improve model accuracy, robustness and generalisation. Translate research prototypes into reliable, deployable capabilities that operate within demanding technical and security constraints. Work closely with Cosine's ML research and engineering teams while taking direct ownership of technical outcomes. Lead technical delivery from prototype to deployment Own the technical direction and day-to-day progress of applied ML projects. Turn operational objectives into concrete technical goals, experiments, milestones and success measures. Coordinate work across ML researchers, software engineers, infrastructure teams and external stakeholders. Identify technical dependencies, delivery risks and blockers, and help drive them to resolution. Establish clear evaluation criteria and demonstrate progress through measurable improvements and working capabilities. Balance hands-on engineering with the planning and coordination needed to keep complex technical work moving. Work directly with Defence customers Engage with technical and operational stakeholders across the UK Defence and national security ecosystem. Understand operational challenges and identify where machine learning can make a meaningful difference. Translate customer requirements and constraints into technical objectives, datasets, experiments and delivery plans. Present technical progress, demonstrate working capabilities and communicate results clearly to technical and non-technical audiences. Build trusted relationships with Defence stakeholders and act as a credible technical counterpart. Help customers understand the practical considerations of integrating and deploying ML systems in their existing environments. Turn research into operational capability Help deploy ML models into real-world environments, including secure, on-premise and resource-constrained systems. Work on model optimisation, inference performance, integration and reliability. Develop robust approaches to evaluation, validation and continuous model improvement. Understand data availability, access requirements, security restrictions and deployment constraints. Establish feedback loops between operational users and Cosine's engineering teams. Ensure that what we build is not only technically impressive, but genuinely useful to the people relying on it. What we're looking for You'll probably have a background in applied machine learning, ML engineering, research engineering or a similarly technical role, along with experience taking ownership of complex technical work. You should be comfortable: Writing production-quality Python and working with modern ML frameworks such as PyTorch. Building, training, fine-tuning and evaluating machine learning models. Working with complex datasets, designing experiments and interpreting model performance. Understanding the trade-offs between model performance, compute requirements, latency and deployment constraints. Working with engineering infrastructure, including Git, containers, Linux and GPU compute. Taking technical ownership of projects with multiple stakeholders, uncertain requirements and evolving priorities. Communicating technical concepts clearly to researchers, engineers, senior stakeholders and operational users. Moving between model development, customer discussions and delivery planning without losing technical depth. Making sound technical judgements, prioritising effectively and finding practical solutions when the path forward is unclear. You don't need to have worked in Defence before. You do need to be excited by the opportunity to apply advanced ML to difficult, consequential real-world problems. Nice to have Existing UK security clearance, such as SC or DV, or previous experience working in secure Defence environments. Experience with signal processing, time-series data, sensor fusion, representation learning or machine learning applied to complex real-world datasets. Experience with foundation models, multimodal learning or advanced model training and post-training techniques. Experience deploying ML models to edge devices or constrained compute environments. Familiarity with UK Defence procurement, technical assurance or the national security landscape. Experience leading technical workstreams or working as a technical lead on customer-facing ML projects. What success looks like In your first three months, we would expect you to: Become the technical lead for a major applied Defence ML programme, with responsibility for its day-to-day technical progress. Build strong working relationships with Cosine's ML researchers, engineers and key Defence customer stakeholders. Develop a clear understanding of the existing models, datasets, technical architecture and operational objectives. Establish a focused delivery plan with clear priorities, milestones, ownership and success measures. Make meaningful hands-on contributions to model development, evaluation or deployment. Identify and begin addressing the most important technical and operational blockers. Demonstrate tangible progress to customer stakeholders and build confidence in Cosine's ability to deliver. Longer term, you'll help take advanced ML capabilities from promising prototypes into operational use, while shaping how Cosine builds and delivers applied AI for Defence and other mission-critical organisations. Why this role matters Some of the most important applications of AI won't be found in consumer products. They'll be in environments where information is incomplete, systems are complex, security matters and the consequences of getting things wrong are significant. Cosine is working to bring frontier machine learning into those environments. Doing that requires more than good models. It requires people who can understand an operational problem, build something that works, make good technical decisions, coordinate the work needed to deliver it and stay close to the customer until it creates real value. You'll have unusual proximity to cutting-edge ML research, senior Defence stakeholders and the operational challenges that will shape the next generation of AI capabilities. This role will suit someone who is technically strong enough to build, organised enough to lead technical delivery and curious enough to engage directly with the people using the technology. If you enjoy being close to the research, close to customers and personally accountable for turning ambitious technology into something real, come and work with us. Come help make frontier AI useful where it matters most. Cosine is an equal opportunity employer. We value diverse backgrounds, perspectives, and ways of thinking, and we're committed to creating an inclusive and respectful workplace. We encourage applications from anyone who meets the role requirements, even if you don't meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we're happy to discuss them. Compensation, Benefits & Ways of Working We're an in-office team, five days a week, by design. We believe the work we're doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary , benchmarked to the market Equity / share options , so you share in the upside you help create 30 days' holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Weekly team breakfast & lunch Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won't suit everyone. But if you're looking for a fast-moving environment, close collaboration, and a team that takes both the work and work-life balance seriously, it's a great place to be. Agency & Data Protection Notice To comply with UK GDPR and our internal data-protection and equal-opportunity obligations, we only accept candidate applications and agency submissions via our Applicant Tracking System (ATS). This ensures appropriate privacy notices, lawful processing, audibility, and consistent retention controls. Any CVs or candidate details received outside the ATS (including via email, Slack, or direct message) will be treated as unsolicited, will not be considered as part of the recruitment process, and will not give rise to any fee or payment obligation. Find Jobs in United Kingdom on Arbeitnow

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? About the Role As Data Engineer on our Healthcare Platform, you will own the foundational data ingestion, entity-resolution, and platform infrastructure end-to-end. You will design and operate scalable batch/streaming data pipelines, harden platform orchestration, and ensure system reliability, security, and cost efficiency. A central challenge of this role is building and operationalizing our unified healthcare data ontology —a consistent semantic model covering hospitals, departments, specialties, metrics, and classification standards. Working closely with Analytics Engineers, Data Scientists, and Methodology experts, you will turn heterogeneous, multi-country hospital data into a coherent, highly queryable data asset. Key Responsibilities Pipeline Infrastructure & Orchestration: Build, optimize, and operate reliable ELT pipelines (using Python, SQL, and Prefect/Airflow) to ingest data from heterogeneous international sources, APIs, databases, and lakehouse storage (S3, Apache Iceberg). Healthcare Ontology & Entity Resolution: Drive the implementation of entity resolution and master data management (MDM) for international hospital entities, mapping raw source data to canonical structures and maintaining standardized vocabularies (e.g., ICD/OPS, specialty taxonomies). Data Contracts & Schema Governance: Establish strict data contracts (Pydantic, dbt contracts) and schema management, ensuring dataset reproducibility, data lineage tracking, and automated validation across all platform pipelines. Platform Efficiency & Cloud Infrastructure: Optimize data storage, query execution, and compute costs across AWS and Snowflake, keeping data assets performant, secure, and cost-effective. Automation & CI/CD: Implement automated testing and deployment workflows for data pipelines using GitHub Actions and Infrastructure as Code (Terraform). Cross-Functional Data Enablement: Partner directly with Analytics Engineers, Data Scientists, and domain experts to deliver documented, research-grade, and production-ready datasets. Qualifications Core Requirements (Must-Haves) Data Ingestion & Pipeline Orchestration: Advanced Python and analytical SQL for complex data ingestion across diverse file formats, REST APIs, databases, and cloud lakes (S3/Iceberg). Hands-on experience with modern orchestrators (Prefect, Airflow, or Dagster). Entity Resolution & Data Governance: Practical experience with entity resolution/record linkage frameworks (e.g., Splink, dedupe, recordlinkage) and schema management/data contracts (Pydantic, dbt contracts, or JSON Schema). Cloud Platform & Warehouse Infrastructure: Deep hands-on experience in an AWS production environment (S3, ECS/EC2) combined with cloud data warehouses (Snowflake). Automated CI/CD & Workflow Automation: Proven track record of automating data pipeline deployments, integration tests, and validation workflows via GitHub Actions. Nice-to-Haves (What Will Make You Stand Out) Knowledge Graphs & Healthcare Terminologies: Exposure to ontology/semantic frameworks (RDF/OWL, SKOS, Neo4j, LinkML) or international medical classifications/vocabularies (SNOMED CT, ICD/OPS, FHIR). Metadata & Lineage Tooling: Experience operating metadata registries and lineage catalogs (e.g., OpenMetadata, DataHub, dbt docs). Infrastructure as Code (IaC): Proficiency in using Terraform to declaratively manage cloud resources and environments. Your Profile Degree: Bachelor's or Master's in Computer Science, Data Science, Software Engineering, or a related quantitative field. Experience: 3+ years in data engineering building production pipelines and data platforms; including a sustained period within one organization seeing a core platform or product through build → launch → iteration. Domain Knowledge: Healthcare domain experience is a plus (basic understanding of healthcare KPIs, quality metrics, or benchmarking concepts; familiarity with hospital structures and medical classification systems like ICD/OPS is especially valuable). Mindset: Strong analytical and systems mindset, with a proven ability to transform messy, heterogeneous international data into a clean, well-governed, and highly structured data asset. Languages: Fluent in English, German is a plus. Working Style: Highly structured, curious, detail-oriented, and motivated to collaborate closely with analytics engineers, data scientists, and methodology experts in an international environment. What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find Jobs in Germany 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 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