Google JAX Jobs in London

1 to 6 of 6 Google JAX Jobs in London

Machine Learning Engineer (NLP)

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 »
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Machine Learning Engineer, Research

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 »
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ML Engineer

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 »
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Machine Learning Engineer in Genomics

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 »
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Machine Learning Engineer, Product

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 »
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Machine Learning Engineer, Machine Learning and Computational Biology

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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