376 to 391 of 391 PyTorch Jobs in London

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ...

algorithms Experience 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 … millions of people, and have extensive experience across the LLM stack. We are backed by pioneers in the field including the creators of PyTorch and TensorFlow. We are well-funded and have recently launched OpenReward, the platform for serving RL environments at scale. #J-18808-Ljbffr ...

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and ...

About Niantic Spatial At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction ...

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and ...

profiling and eliminating bottlenecks across the foundation model training stack stack, from data pipelines to GPU kernels Design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability, robustness, and high utilization Implement efficient low-level code (CUDA, cuDNN, Triton, custom kernels) and integrate it seamlessly … Python Low-level performance mastery: CUDA/cuDNN/Triton, CPU-GPU interactions, data movement, and kernel optimization Scaling at the frontier: experience with PyTorch and training jobs using data, context, pipeline, and model parallelism System-level mindset with a track record of tuning hardware-software interactions for maximum utilization ...

registry and ML lifecycle experience A deep technical depth in ML training A strong understanding of ML code infrastructure and best practices – experience with pytorch, tensor RT, quantisation and model deployment Strong CI/CD and Github Actions experience Strong communications skills with a collaborative mindset Desirable Experience with Pytorch ...

lessons learned You May Be a Good Fit If You Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than … societal impacts of AI and responsible scaling Strong Candidates May Also Have Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training ...

Artificial Intelligence Jobs in London is seeking a Sports Betting Quantitative Researcher to build predictive models for sports betting markets and move them from research to live trading. You will develop features from match data ...

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and ...

A leading electric vehicle manufacturer in the UK is looking for a full-time Machine Learning Engineer. The successful candidate will work on cutting-edge AI infrastructure aimed at developing state-of-the-art autonomous ...

A space-tech start-up in London seeks an experienced Computer Vision Engineer to contribute to autonomous vision-based satellite navigation solutions. The candidate will handle AI/ML software development, integrating software with hardware ...

delivery of model releases, from initial requirements through training, evaluation, iteration, and final readiness for deployment. Train and iterate on PyTorch models with a strong experimental approach (hypothesis-driven iteration, ablations, clear evaluation criteria). Debug and improve model performance using strong analytical skills—identifying regressions, root-causing issues … with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong hands‐on experience training and iterating on deep learning models in PyTorch (not just using high‐level tooling). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL ...

assignment, legalisation) and can debug what breaks at each stage. Strong proficiency with at least one relevant stack (e.g. MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch export/capture) and confidence learning adjacent frameworks quickly. Experience with quantisation in compilation — precision typing, PTQ integration, and tracking down accuracy loss from compiler … compiler transforms. Strong Python; comfortable building and testing compiler infrastructure in production codebases. Proficiency with at least one of: MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch graph capture/export. Experience with multi-target compilation or graph partitioning across hardware backends. Ability to reason about correctness and performance trade-offs ...

Kaedim is seeking an AI Researcher to tackle open-ended problems at the frontier of what's possible. You'll translate breakthroughs into scalable approaches for the engineering team, shaping our AI pipeline and data ...

assignment, legalisation) and can debug what breaks at each stage. Strong proficiency with at least one relevant stack (e.g. MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch export/capture) and confidence learning adjacent frameworks quickly. Experience with quantisation in compilation – precision typing, PTQ integration, and tracking down accuracy loss from compiler … compiler transforms. Strong Python – comfortable building and testing compiler infrastructure in production codebases. Proficiency with at least one of: MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch graph capture/export. Experience with multi‐target compilation or graph partitioning across hardware backends. Ability to reason about correctness and performance trade‐offs ...