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1 to 6 of 6 Google JAX Jobs in London
London, United Kingdom Confidential
industry-specific solutions, from proof of concept to fully-fledged deployed applications. Qualifications Solid experience with deep learning libraries such as Transformers, PyTorch, TensorFlow, Jax, or Keras. Proficiency in Python development, with a strong grasp of Git workflows and commitment to best coding practices. Ability to leverage cloud computing more »
London, United Kingdom Confidential
versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and more »
London, United Kingdom Hybrid / WFH Options Confidential
in Ivy, and adding these to our model hub Requirements Very strong Python skills, with deep expertise in at least one of: PyTorch, TensorFlow, JAX Very strong skills in recursive programming. Check out the Ivy Container class A passion for Machine Learning research, and for our vision to unify more »
London, United Kingdom Hybrid / WFH Options Confidential
With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select more »
London, United Kingdom Confidential
allow us to create scalable and reliable machine learning libraries Use common libraries for 3D mesh data manipulation and deep learning such as PyVista, JAX, TensorFlow, PyTorch Explore new techniques and frameworks to integrate into our tech stack (as technology evolves, we strive for making relevant changes on our … OOP principles Experience applying DL or NN model architectures to geometric data (e.g., graph neural networks) Extensive experience with numerical and DL libraries (e.g., JAX and PyTorch) Using distributed computing frameworks (e.g., Ray) Docker for development and deployment Experience in CAD/CFD/FEA is a plus Excellent more »
London, United Kingdom Hybrid / WFH Options Confidential
With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select more »
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