101 to 125 of 182 Google JAX Jobs in England

field 5+ years of experience deploying AI/ML models in production settings Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization Experience with GPU architectures, cloud platforms, and hardware tradeoffs Familiarity with low-level More ❯

years of relevant experience building and applying ML systems Proficiency in Python, Rust, C++, or Java Experience with ML frameworks like PyTorch, TensorFlow, or JAX Excellent communication skills—written, verbal, and visual Seniority level: Mid-Senior level Employment type: Full-time Job function: Research and Engineering Industries: Software Development More ❯

field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level More ❯

field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level More ❯

machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/Molecular Modelling More ❯

Proven experience scaling cloud-native systems (AWS, microservices, IaC) Kubernetes + Terraform expertise in production environments Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX) Frontend skills with React/TypeScript or similar Bonus: big data/real-time analytics/multi-cloud Why Join? Equity with serious upside More ❯

Proven experience scaling cloud-native systems (AWS, microservices, IaC) Kubernetes + Terraform expertise in production environments Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX) Frontend skills with React/TypeScript or similar Bonus: big data/real-time analytics/multi-cloud Why Join? Equity with serious upside More ❯

machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

with modern scientific software practices (version control, containerisation, continuous integration etc) and an enthusiasm for writing clear, performant code. Familiarity with ML frameworks (PyTorch, JAX or similar) and machine-learned potential energy surfaces. Previous computational drug discovery experience in industry. If you do not quite fulfil all of the More ❯

conferences. Expertise in Programming: Strong proficiency in software development and programming in Python. Experience with Deep Learning Frameworks: Proficiency in frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent Communication Skills: Ability to clearly communicate complex ideas, both verbally and in writing, and to work effectively within a More ❯

. Hands-on experience training and deploying learned policies for complex behaviors in robots or simulated characters. Fluency with modern ML toolchains (PyTorch/JAX, RL or behavior-cloning libraries, agentic frameworks, MCP, distributed training workflows). Solid software-engineering fundamentals - tested, documented, maintainable Python & C++. Demonstrated ability to More ❯

track record of launched products Fluency in Python and another language (e.g. C/C++) Hands on experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow) Skilled in software design, problem-solving, and debugging Experience optimizing models for resource-constrained devices is a plus What we offer Here are More ❯

LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med More ❯

LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med More ❯

LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med More ❯

and Qualifications MS or PhD in CS/EE or equivalent experience in the industry, with key skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantisation, pruning, sparsification, etc.) Experience with deployment on embedded and mobile devices (ML inference and/or training) Experience with More ❯

the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/ More ❯

to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for More ❯

or multimodal architectures. Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data). Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks. Experience managing large-scale distributed training across GPUs/TPUs. Background in generative AI, large language models More ❯

techniques, model architecture, optimizer, learning rate schedules, etc. Thorough understanding of Python tools and libraries, keen to offer advice on best practices Experience using Jax, Tensorflow or similar ML frameworks a huge plus Benefits: Market-leading salaries Generous benefits package, including physical & mental health benefits, excellent holiday entitlement, significant More ❯

techniques, model architecture, optimizer, learning rate schedules, etc. Thorough understanding of Python tools and libraries, keen to offer advice on best practices Experience using Jax, Tensorflow or similar ML frameworks a huge plus Benefits: Market-leading salaries Generous benefits package, including physical & mental health benefits, excellent holiday entitlement, significant More ❯

of the latest trends in AI/ML research and development Good familiarity with one of the popular ML frameworks such as PyTorch, TensorFlow, JAX, ONNX, or PaddlePaddle A history of developer engagement or participation in an active open-source development community Experience in Product Owner roles, or a More ❯

techniques, model architecture, optimizer, learning rate schedules Thorough understanding of Python tools and libraries, with the ability to advise on best practices Experience with Jax, TensorFlow, or similar ML frameworks is a plus Benefits: Market-leading salaries Generous benefits including health, mental health, holiday entitlement, parental leave, retirement plans More ❯

collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology More ❯

driving stack. Experience MS or higher degree in a related field, or equivalent industry experience. Professional experience with ML frameworks such as PyTorch (preferred), Jax, or TensorFlow. Knowledge of debugging and profiling neural networks on NVIDIA CUDA. Experience with architectures for object detection and 3D perception. Experience in ML More ❯