1 to 25 of 28 Google JAX Jobs in the UK

Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative ...

post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating ...

design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command-line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment ...

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 ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). ...

others); OR equivalent work experience delivering state‐of‐the‐art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state‐of‐the‐art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming ...

following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast‐paced, research‐oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful ...

engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into ...

help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern ...

reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor ...

experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch/TensorFlow/JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across product and science ...

experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc click apply for full job details ...

experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobil... WKCL1_UKTJ ...

production inference platform. You will join a cross-disciplinary team to optimize a dataflow architecture for decode at rack scale, connecting PyTorch/JAX to the metal and shaping the runtime, network, and accelerator stack. You will own the runtime and serving stack, scale inference, and drive bring ...

runtime and serving stack for the DX-1 accelerator, enabling production inference across disaggregated hardware. You will extend the stack from PyTorch/JAX to the metal, across the runtime, network, and accelerator boundary. This whole-stack role requires deep C/C++ expertise, strong systems thinking ...

experience conducting research in machine learning, evidenced by publications or prior research roles. Experience in programming with Python-based scientific libraries (e.g., NumPy, SciPy, JAX, or TensorFlow). Experience with language models (LLMs), transformers, diffusion models, text diffusion, or distributed training. Experience with machine learning, mathematics, and statistics (e.g. … research papers. Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation). About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams ...

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack – from silicon and ...

EMNLP, NAACL, ICLR) ) with specific focus on agent systems, tool use, or multi-agent coordination.Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...)Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...).Excellent communication skills to report … open-source libraries or writing production code.Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.You will enjoy:Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods ...

NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier … orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets ...

supervised fine-tuning (SFT), or agent-based systems, including modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning … artifacts. Preference for simple, elegant solutions to research problems. Experience with systems design and managing code complexity in large codebases. About the job At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. In this role, you will push ...

advanced reinforcement learning topics, such as RL for sequence models, post‐training, preference‐based learning, or agentic systems. Familiarity with modern research stacks (e.g., JAX/Flax or PyTorch) and experience scaling experiments. Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations. Comfort with scaling methodologies, evaluation … enable research at scale. Communicate research findings through write‐ups, presentations, and publications, while fostering a culture of high standards and constructive feedback. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users ...

DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Agent Post-Training5h agoD## Research Scientist, Agent Post-TrainingDeepMind00ResearchFull-timeLondon, UKApply Job### Job DescriptionAt Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. In this role, you will push … reinforcement learning. You will value various experience and backgrounds to create extraordinary impact.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high ...

make that hardware serve large AI models at rack scale by building and extending the runtime and serving stack that connects PyTorch and JAX down to the metal. This is a whole‐stack system role. You’ll work where the runtime, the network, and the accelerator meet, partnering closely … cache and memory management, and reliability across distributed failure domains at cluster scale. Fluency at the framework boundary , connecting accelerators to PyTorch/JAX and serving stacks without treating either as opaque. Whole‐stack debugging: end‐to‐end and timeline tracing, workload replay, and reasoning from architectural constraints (SRAM ...