8 of 8 Permanent Google JAX Jobs in London

production-ready solutions. Strong proficiency in Python and core AI/data science libraries, such as: PyTorch, TensorFlow, ScikitLearn, Keras, NumPy, Pandas PyTorch Geometric, JAX, XGBoost, OpenCV Transformers, LangChain, Pinecone Hands-on experience with cloud computing systems for training, optimising, and deploying models. Strong communication skills and the ability ...

with a demonstrable track record of models made it from the lab into production environments . Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow , with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications ...

machine learning theory, including optimization, generalisation, and various model architectures. Programming : Strong python skills and experience with deep learning libraries (TensorFlow/PyTorch/JAX). Communication : Ability to clearly explain complex ML concepts and research findings to both technical and non-technical audiences. Education : Master's Degree ...

Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning whatever needs doing, from research ...

Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX) Strong background in graph neural networks and transformer architectures Demonstrated ability to turn research ideas into robust, scalable implementations Comfortable owning whatever needs doing ...

production systems Hands-on post-training experience (RLHF, DPO, or similar) and deployed LLMs in production Strong Python and modern ML tooling (PyTorch/JAX, training infrastructure, evaluation pipelines) Track record shipping research from prototype to production impact Comfortable owning work end-to-end: architecture to data pipelines ...

generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics ...

intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends – come join … machine learning mage: You write clean, scalable, high-performance deep learning code. You take pride in your craft. Proficiency in PyTorch, Tensorflow, Jax, or equivalent is a must (ideally PyTorch). Knowledge on some of the latest good stuff from transformers to VLMs and NERFs. Happy to get down ...