51 to 75 of 110 JAX Jobs in London

. Experience limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks. Deep knowledge of large‐model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking. Evidence of research/ ...

series). Experience limited to API usage or prompt engineering is not sufficient.Experience building large-scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks.Deep knowledge of large-model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking.Evidence of research/technical quality ...

practical experience. 5 years of experience developing, training, and deploying diffusion models and generative video architectures. Experience writing custom GPU/TPU kernels (e.g., JAX or PyTorch) for model serving. Preferred qualifications: PhD in Computer Science, Machine Learning, AI, or a related quantitative field or equivalent practical experience. Experience ...

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion for applying ML research to real world problems.Depending on your experience: project ...

including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your ...

bringExperience building ML or AI systems in productionHands-on experience with LLMs and agentic AIStrong Python, Rust, C++ or JavaExperience with PyTorch, JAX or TensorFlowExposure to LangGraph, Google ADK or similarStrong understanding of ML fundamentals and model trade-offsExperience with MLOps, multimodal AI or constrained hardware is a bonus rather ...

Computer Science, Machine Learning, Physics, or a related field with a strong record of publishing novel research. Possesses hands‐on expertise in PyTorch or JAX developing modern architectures such as generative models, Bayesian optimization, or foundation models. Demonstrates experience applying machine learning to scientific domains or simulations with a deep ...

training RL agents and iterating on reward design, with strong intuitions for what works and why Proficiency in Python and ML frameworks (PyTorch or JAX) with the ability to implement and run experiments independently Track record of research output: publications, open-source contributions, or impactful technical projects Willingness to work ...

optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization ...

About You Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). Hands‐on experience with PyTorch, JAX, or similar. Strong systems and infrastructure fundamentals. Experience with LLM training or post‐training: fine‐tuning, RL, distillation, evaluation, and/or data pipelines. Excellent ...

adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets. 3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators. 3 years of experience designing evaluations, metrics, and controlled ablations for research projects. 3 years of experience designing ...

solid production track record Proficient in Python and at least one systems language - Rust, C++, or Go Hands-on experience with PyTorch or JAX in an industry setting Experience with inference frameworks: vLLM, SGLang, TensorRT-LLM Solid distributed systems fundamentals and experience operating production ML infrastructure Working knowledge of modern ...

creative teams to turn ML capabilities into compelling experiences What We’re Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from data preparation to model design, training and evaluation ...

generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. Familiarity with modern software engineering practices. You document experiments clearly and communicate trade‐offs crisply. ...

application is highly valued.LLM experience is valuable, but not necessary.Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.The estimated base salary range for this position is 200,000 to 300,000 USD per year ...

refine existing products.Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference.Strong mentorship, communication, and problem-solving skills.A demonstrated passion for applied ML models and products.Bonus: experience ...

refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ...

Mathematics, or a related field or equivalent experience. Proficiency coding in Python or similar languages, as well as machine learning and analysis tooling (e.g., JAX, PyTorch, Pandas). Experience working with large language models, human-in-the-loop data annotation systems, or AI evaluation frameworks. A willingness to embrace ...

high agency and low egoStrong candidates may also haveExperience with large-scale distributed training (RL, pre-training, or post-training)Familiarity with JAX, PyTorch, or similar ML frameworksA track record of operating at the edge of research and infra in a fast-moving environmentDeadline to apply: None. Applications will ...

compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility, and reproducibility Experience in ML systems ...

running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty ...

experience with other robotics simulators (Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, Brax). PyTorch, our user-facing interface. Other JIT compilers such as Triton, JAX, or Numba. 3D tooling and interactive editors (Maya, Blender, Houdini). Serialization formats (USD, glTF, MJCF/URDF). C++, CUDA, or Metal. Developer relations ...

research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning and training ...

skills. Ability to balance strategic thinking with hands-on technical leadership. Comfortable operating within a fast-paced, high-growth environment. Technology Environment Python PyTorch JAX Large Language Models (LLMs) GPU Training & Inference Infrastructure Distributed ML Systems Why Join? Help shape the future of AI-powered productivity. Work alongside a small ...

models — architecture, training, and inference. Experience solving real problems using reinforcement learning with deep neural networks in any domain. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You are self‐driven, pro‐active, communicate efficiently, document experiments clearly and communicate trade‐offs ...