1 to 25 of 52 Google JAX Jobs in the UK

implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference. Strategic Leadership More ❯

Join to apply for the Research Engineer, Machine Learning role at Mistral AI Continue with Google Continue with Google Join to apply for the Research Engineer, Machine Learning role at Mistral AI About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed … our enterprise API About You Masters or PhD in Computer Science (or equivalent proven track record) 4 + years working on large-scale ML codebases Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s) Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops Strong software … Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Mistral AI by 2x Sign in to set job alerts for Research Engineer roles. Continue with Google Continue with Google Continue with Google Continue with Google London, England, United Kingdom 3 weeks ago Hampton, England, United Kingdom 6 days ago Quantum Algorithms Scientist More ❯

Join to apply for the Machine Learning Engineer role at Woven by Toyota Continue with Google Continue with Google Join to apply for the Machine Learning Engineer role at Woven by Toyota Woven by Toyota is enabling Toyotas once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others … and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving … Technology Industries Software Development Referrals increase your chances of interviewing at Woven by Toyota by 2x Sign in to set job alerts for Machine Learning Engineer roles. Continue with Google Continue with Google Continue with Google Continue with Google London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United More ❯

Science, Machine Learning, Mathematics, or a closely related field. Strong foundational knowledge of machine learning and deep learning , with hands-on experience using frameworks such as PyTorch , TensorFlow , or JAX . Exposure to LLM fine-tuning and/or experience working with transformer-based models (e.g. GPT, LLaMA, Mistral). Interest in or familiarity with agentic AI frameworks and More ❯

Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong understanding of More ❯

learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or More ❯

learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or More ❯

software development skills in R (including package development, deployment, advanced programming) and Python. Specialist expertise in one or more of the following: Deep learning & analytical frameworks such as pytorch, jax, tensorflow; LLM/LMM applications & agentic AI; bioinformatics & data science. Expertise in systems programming languages (e.g. C/C Rust) is optional but can be beneficial. Strong working knowledge More ❯

and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM More ❯

from day one. Youll need to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact! Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI is a strong plus What Theyre More ❯

that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C More ❯

that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C More ❯

that values innovation, openness, and personal growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C More ❯

problems. (Desirable) Experience designing and conducting experiments in a social science or human-computer interaction (HCI) context. Strong proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, JAX, TensorFlow, Hugging Face). (Desirable) A track record of publications in relevant AI or interdisciplinary conferences. A strong scientific mindset geared towards rigorous experimentation, coupled with the engineering discipline More ❯

learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints. Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP and More ❯

workflow orchestration tools (e.g., Kubeflow, Ray, Airflow, Metaflow). Excellent programming skills in Python; experience with Bash, Go, or C++ is beneficial. Strong understanding of ML frameworks (PyTorch, TensorFlow, JAX) and familiarity with distributed training methods, GPU acceleration, and optimization libraries (e.g., XLA, NCCL). Excellent understanding of software development best practices, CI/CD, and automation. Familiarity with More ❯

and development, with a proven track record in leading complex projects. Experience with data enrichment and building knowledge bases to support AI systems. Advanced proficiency in PyTorch, TensorFlow, or Jax, and programming languages (e.g., Python, R, Java). Plus: publications in leading peer-reviewed journals and conferences. Plus: prior experience in the energy sector. Kraken is a certified Great More ❯

models, AI agent orchestration, benchmarking, and deployment. Proven experience in AI research and leading complex projects. Experience with data enrichment and knowledge base development. Proficiency in PyTorch, TensorFlow, or Jax, and programming languages like Python, R, Java. Preferred: publications in peer-reviewed journals and conferences. Preferred: experience in the energy sector. If this sounds like you, we'd love More ❯

and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving More ❯

and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving More ❯

and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving More ❯

or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best More ❯

on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys More ❯

supervised pre training, Vision Transformers, or vector quantization methods. Hands on work with large medical or scientific imaging datasets and establishing evaluation tasks and metrics. Proficiency in PyTorch or JAX and experience running distributed training on GPUs or cloud HPC resources. Strong software engineering habits: version control, testing, continuous integration, code review, and containerization. Clear communication and ability to More ❯

on distributed training infrastructures. Familiarity with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys More ❯