326 to 350 of 391 PyTorch Jobs in London

functional teams to ensure timely delivery of high-quality ML systems. You will operate across the full ML lifecycle, applying frameworks like TensorFlow or PyTorch, and leverage cloud platforms and container orchestration to deploy at scale. #J-18808-Ljbffr ...

Master in Computer Vision or related fields, 2+ years of R&D in SLAM/VIO, strong C++/Python skills, and experience with PyTorch, OpenCV, ROS, and GTSAM. #J-18808-Ljbffr ...

against a live training/matchday schedule, not just be technically neat. Python/SQL/TypeScript, PyData stack (Pandas/Polars, Altair, etc.), PyTorch/JAX/TF. You'll own things end-to-end, data through UI. Looking for strong quant background, first-principles engineering judgment, and taste ...

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 Compensation Annual Salary ...

have strong experience building production‐grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar You have worked on systems where ML outputs influence real‐world decisions You understand how to design systems that balance automation with safety and user experience ...

performance systems (latency histograms, throughput metrics, SLAs). Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation. KDB+ Data Analysis with python (pytorch, pandas, arrow) #J-18808-Ljbffr ...

kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice to have: Robotics ...

Comfortable in both owning a multi-surface engineering programme and deepen one component. The kind of senior who unblocks others by default. Fluent in PyTorch and modern serving infrastructure; comfortable engaging with the front-end team on Rust and React adjacent product work even if not writing it. Nice ...

functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making You bring hands‐on experience with PyTorch and distributed systems such as Ray or similar frameworks You understand experimentation deeply and can design reliable tests in environments with interacting metrics ...

structures. Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures). Proficiency in PyTorch and hands‐on experience building, fine‐tuning, and deploying large‐scale ML systems. High‐impact individual contributor capable of taking projects from conceptual research ...

teleoperation and low-level control stack. Experience with neural network post-training. Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. Good familiarity with modern software engineering practices. Ability to document experiments clearly ...

driving models and/or transformer networks Automotive or OEM experience, or prior work that involved deploying ML into physical systems. Experience with a Pytorch lightning training infrastructure Experience with model compression and deployments to embedded systems This is a full-time role based in our office in Sunnyvale, London ...

specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state ...

Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks Practical experience with machine learning (e.g. pytorch), and a track record of taking research ideas to production Track record of promoting statistical rigour and experimental best practice across a team Prior experience ...

tool that happens to be public. The bet: high‐performance code should feel natural to write. Engineers write plain Python in a NumPy or PyTorch style, and Quadrants makes it fast. The role You own Quadrants end to end: the API, the IR and lowering, the optimization passes, the numerical ...

issues, reviewing external pull requests, communicating with a community. Bonus points: 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 ...

tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks like PyTorch or evaluation frameworks like Inspect. A sense of mission, urgency, responsibility for success. An ability to bring your own research ideas and work in a self ...

candidates with relevant experience. Requirements for Machine Learning Researcher: PhD in Machine Learning or a related discipline A strong academic record Experience using PyTorch LLM-focused experience through research, academic projects or commercial work. This is a key part of the role, and commercial experience is not essential Experience with …/AI Engineer/Applied AI Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

teams to maintain high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings. #J-18808-Ljbffr ...

model architecture and the ability to contribute meaningfully to architectural/training decisions Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development Relevant industry experience (typically 4-5+ years); advanced degrees are valued, but depth of applied experience ...

model architecture and the ability to contribute meaningfully to architectural/training decisions Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development Relevant industry experience (typically 5+ years); advanced degrees are valued, but depth of applied experience is important Desirable ...

closely with researchers, software engineers and customers to deliver innovative AI solutions for demanding real-world applications. Key Skills and Requirements Strong Python/PyTorch development and production AI/ML experience Expert knowledge of CNNs, Vision Transformers and modern computer vision Experience developing custom neural networks, training strategies … Engineer/Machine Learning/ML/Computer Vision/Deep Learning/CNN/Convolutional Neural Networks/Vision Transformers/ViT/PyTorch/TensorFlow/Neural Networks/Model Development/Model Optimisation/Object Detection/Segmentation/Tracking/GPU/Edge AI/Real ...

matching platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade Reasoning Establish explainability standards across the ML stack, using SHAP … enterprise environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert‐level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost). Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...

demos and clear docs so people adopt your work. What will you bring? Portfolio with two or three small tools or prototypes. Experience with PyTorch, TensorFlow, or scikit-learn. You enjoy interviews and workshops and can explain ideas in plain language. You set your own milestones and keep to them. … early-career professional with a portfolio of innovative or academic projects. Technical Skills: Exposure to or experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Understanding of API development and integration. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Interest in RPA (Robotic ...