8 of 8 Google JAX Jobs in Central London

. 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 ...

reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy labels. Ability to formulate ...

neural network training dynamics Strong programming skills in Python and hands‐on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow Strong communication skills with the ability to explain technical ideas clearly to both technical and non‐technical audiences Please note that ...

tools, frameworks, and architectural patterns Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch, TrensorFlow or Jax Knowledge of model training framework In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models Experience ...

develop new tools that are designed to be functional and easy to learn and use. Key Requirements Experience with inference frameworks such as JAX and/or PyTorch Experience of software development in Python, Rust, C/C++, or a similar language Experience monitoring and optimising code written ...

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 … issues in live systems. Experience designing and administering SQL databases — schema design, query performance, and day-to-day operational management. Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. ...

Bristol, UK; Cambridge, UK; London, UK About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation ...

Machine Learning Engineers at IMC play a pivotal role in building the systems that drive training and deployment of large-scale ML models across IMC's global operations. They collaborate with quantitative researchers, hardware specialists ...