176 to 200 of 240 PyTorch Jobs in London

intersection of research and engineering, designing experiments and building scalable training systems. You should have an advanced degree and strong Python/PyTorch skills, experience with large-scale ML, and a collaborative mindset. The role offers hybrid work in the UK and a generous compensation package. #J-18808-Ljbffr ...

robotic applications, ensuring efficient control policy execution. Candidates should have a strong background in deep learning, experience with performance optimization, and robust Python and PyTorch skills. The role offers valuable benefits including generous leave, healthcare support, and a collaborative working environment. #J-18808-Ljbffr ...

/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing on projects for AI labs and fintechs. Ideal candidates will ...

systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience, and have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

best practice Your Skills & Experience Strong experience building and deploying machine learning systems at scale Expertise with Python and modern ML frameworks such as PyTorch or TensorFlow Experience with recommendation systems, LTV/churn modelling, attribution, or targeting models Strong understanding of MLOps, model lifecycle management, and production environments AdTech ...

Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work ...

deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines ...

systems they live inside. What we’re looking for High‐performance, large‐scale distributed systems experience, preferably for LLM workloads. Proficiency in Python and PyTorch or JAX. Hands‐on experience with large‐scale LLM training or inference technologies, e.g., SGLang, vLLM, verl, Megatron, OpenRLHF. Good taste: you know when ...

VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands‐on experience building, fine‐tuning, and deploying large‐scale ML systems. Strong experimental and research skills — capable of taking projects from concept ...

hiring, building, or mentoring technical teams is an advantage. Nice to have Experience supporting AI/ML training and inference workloads at scale (e.g., PyTorch, distributed training, MPI). Familiarity with MLOps tooling and workflow orchestration. Experience with hybrid or cloud-bursting HPC architectures. Experience supporting enterprise customers in cloud ...

including MPC, graph search, state estimation, and vehicle behavior modeling. Proficiency in Python and C++ for production-quality software development. Hands-on experience with PyTorch and deployment acceleration frameworks (for example TensorRT/ONNX) in real-time systems. Experience with ROS/Autoware-style robotics integration and simulation-based development ...

with teams for data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years in deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, private healthcare, and a pension scheme. #J-18808-Ljbffr ...

influence inventory decisions and customer experience. The role requires 3+ years as ML engineer, strong Python/Java/C++, and experience with PyTorch, TensorFlow, and big data tools. You will work with product, engineering, and operations in a fast-paced environment and communicate in English. #J-18808-Ljbffr ...

models, with a strong emphasis on practical product impact and close collaboration with product teams. The role requires a strong math background, expertise in PyTorch, and experience with Rust/CUDA for high-performance inference. This is a unique opportunity to shape the AI strategy for a fast-growing platform. ...

product, research and engineering to deliver high‐quality AI-based diagnostics. The role emphasizes producing production‐readied ML systems from research, using Python and PyTorch, with cloud, hybrid and on‐prem deployments, in a healthcare‐focused setting. Hybrid work and equity are offered. #J-18808-Ljbffr ...

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 ...

technology. You will be responsible for conducting original research and implementing advanced algorithms. The ideal candidate has a PhD, strong skills in Python and PyTorch, and a track record of publications in top conferences. This position offers a competitive salary (£96,300 - £107,000) with bonuses and a hybrid work ...

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 ...

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 ...

have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user experience ...

deploying machine learning systems in production environments at scale You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems You know how to design systems that balance ...

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 ...

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 ...