16 of 16 Google JAX Jobs in the Thames Valley

in AI research and applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to communicate complex More ❯

e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks If interested please apply below or send your CV to Trei@microtech-global.com More ❯

e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks If interested please apply below or send your CV to Trei@microtech-global.com More ❯

e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks If interested please apply below or send your CV to Trei@microtech-global.com More ❯

e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks If interested please apply below or send your CV to Trei@microtech-global.com More ❯

e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks If interested please apply below or send your CV to Trei@microtech-global.com More ❯

Learning, Computer Science, or related field Proven track record with LLMs, generative AI, optimization, or sequential learning Experience with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Expertise in one or more: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or causality Experience in drug/target discovery, treatment modeling 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 ❯

focus on GenAI 🚀 Strong expertise in Stable Diffusion, Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

spoken and written) Strong writing, presentation, and analytical skills Research experience with publications appropriate to career stage Experience with ML frameworks like PyTorch or Jax Self-motivated, able to work independently and meet deadlines Willing to support teaching and mentor students Interest in organizing academic events Desirable qualifications include More ❯