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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer, Machine Learning - **Company:** Mistral - **Location:** Greater London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Nvidia CUDA, Continuous Integration, Learning Management Systems, Programming Tools, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815061684-research-engineer-machine-learning ## About the Role * Master's or PhD in Computer Science (or equivalent proven track record). * 4+ years working on large-scale ML codebases. * Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). * Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. * Strong software-design instincts: testing, code review, CI/CD. * Self-starter, low-ego, collaborative. ## Description About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems-across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector-co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Research Engineering Team The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research-to-production spectrum as needs or interests evolve. As a Research Engineer - ML track, you'll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you'll either join: What You Will Do * Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools. * Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. * Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). * Design, implement and benchmark ML algorithms; write clear, efficient code in Python. * Deliver prototypes that become production-grade components for Le Chat and our enterprise API. What We're Looking For * Master's or PhD in Computer Science (or equivalent proven track record). * 4+ years working on large-scale ML codebases. * Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). * Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. * Strong software-design instincts: testing, code review, CI/CD. * Self-starter, low-ego, collaborative. What we offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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