101 to 125 of 196 Google JAX Jobs in the UK

industry, including knowledge of the landscape and Pure’s solutions with a focus on the following: Deep understanding of industry AI frameworks (pytorch, tensorflow, jax etc) Deep understanding on high performance, low latency, highly parallelized compute solutions at scale (compute, network, storage) Deep understanding of accelerated compute environments (GPU More ❯

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 CPU, GPU More ❯

with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as More ❯

up new technologies. Exposure to Git, Unix, SQL, or any high-performance computing language is a plus but not required. Exposure to PyTorch/Jax is a plus but not required Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits 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 AI Research Engineer - Well-Funded Start-Up #J-18808-Ljbffr More ❯

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 CPU, GPU 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 ❯

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 ❯

models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX) -A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team 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 ❯