1 to 25 of 28 JAX Jobs in the UK

have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network ...

language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such as AWS, GCP, or Azure for model ...

learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

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 engineering skills: clean code, testing, debugging, version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands‐on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model training, evaluation, common ...

/ML incubations or complex deep‐tech cross‐functional initiatives with measurable outcomes. Expertise in Python and deep experience with deep‐learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‐of‐the‐art ML techniques. Practical experience with modern AI paradigms such as world models, foundation models, multi‐modal language models ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research ...

members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices: code testing, documentation, packaging ...

message types, and topic debugging* Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths* OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience* Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment The Company ...

operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar frameworks. Experience with one or more of: scientific machine learning, physics-informed ML, time-series modelling, optimisation, simulation, forecasting or probabilistic modelling. Comfort ...

high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre‐training, or post‐training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast‐moving environment Deadline to apply ...

learning systems, with shipped models or published research. Hands-on experience with Vision Language Models, LLMs, or generative models. Strong Python and PyTorch/JAX skills, including debugging, profiling, and shipping. A passion for bridging the gap between simulation and reality. This is a technically challenging role with the chance ...

statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus ...

3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL. Key Words: Machine Learning Engineer/Data Processing/Model Building/NMR/Deep Learning/Computational Biophysics/Drug ...

customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. Experience in one or more of the following areas: DevOps, Security, Site Reliability Engineering (SRE), data center infrastructure, networking, compute, or storage. About ...

Hands‐on experience training, fine‐tuning, or deploying large‐scale ML models in production. Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly. Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray). Strong software engineering fundamentals ...

degree or PhD in Computer Science, Engineering or a related field. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. Experience in one or more of the following areas: DevOps, Security, SRE. Experience in one or more of the following areas: Data Center ...

work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. You are comfortable working ...

with customer‐facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or Open XLA. Experience in one or more of the following areas: data center infrastructure, networking, compute, storage. Experience in one or more ...

discovery processes. Ideal candidates should possess a PhD or equivalent experience and a strong track record in ML, including practical experience with frameworks like JAX, PyTorch, or TensorFlow. #J-18808-Ljbffr ...

AI Scientist/Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems. You will work ...

inference, scientific workloads)Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods)Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm)Identify system bottlenecks (compute, memory, network, I/O)Build automation tools for benchmarking and reportingCollaborate with teams to align workloads with optimal … architectureRequired SkillsStrong experience with GCP (Compute Engine, GKE, Storage, Networking)Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF)Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes)Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM)Proficiency in Python, Bash ...

inference, scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting Collaborate with teams to align workloads with … Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM) Proficiency in Python, Bash ...

inference, scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting Collaborate with teams to align workloads with … Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM) Proficiency in Python, Bash ...