51 to 75 of 78 PyTorch Jobs in London

from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting. Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar. Experience leading projects and mentoring engineers or scientists, with a track record of fostering team growth and technical excellence. Excellent communication skills ...

platforms and the tooling AI teams use day‐to‐day, including experiment tracking, pipeline orchestration, and model serving. Experience with AI frameworks such as PyTorch, TensorFlow, or JAX. Comfortable going below the SaaS layer when the conversation demands it - GPU topology, network fabric, and cluster architecture shouldn’t be unfamiliar ...

excluding post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

machine learning models for scientific tasks. The ideal candidate will have a degree in a quantitative field and experience with deep learning frameworks like PyTorch or TensorFlow. Responsibilities include designing AI solutions and working in a collaborative environment. The position emphasizes continuous development and encourages diverse applications, aiming to improve ...

software engineering teams. Ideal candidates have 5+ years in ML engineering, a Masters or PhD in a quantitative field, and expertise in tools like PyTorch and MLOps. The position offers opportunities for management based on experience. #J-18808-Ljbffr ...

technical delivery-focused commercially driven exceptionally fast paced Strong preference for candidates who have: built and deployed ML models in production strong Python/PyTorch capability neural network experience advanced statistical/mathematical foundations experience solving complex prediction or optimisation problems ability to lead technically while remaining hands ...

Machine Learning, Software Engineering, or a related field. Proven commercial experience developing software using Python. Strong understanding of machine learning concepts and frameworks (eg, PyTorch, TensorFlow, or similar). Experience working with large datasets and building scalable systems. Ability to work independently and take ownership in a contract environment. Strong ...

Learning, Software Engineering, or a related field. Extensive commercial experience developing software using Python in production environments. Strong expertise in machine learning frameworks (eg, PyTorch, TensorFlow) and applied ML concepts. Proven experience designing and building scalable, distributed systems and working with large datasets. Demonstrated ability to lead technical delivery ...

professional industry setting, where you 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 ...

datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with ...

/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 ...

ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

developing deep 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 ...

less “we have a clean benchmark” and more “figure it out from 50 examples and make it work on-device.” What they need Strong PyTorch and clean deep learning engineering habits Solid understanding of modern architectures – transformers, VLMs, and beyond Grounding in classical signal processing and CV fundamentals Experience owning ...

ideal candidate will have significant experience as a Machine Learning Scientist, with advanced programming skills in Python and familiarity with ML frameworks like PyTorch and TensorFlow. This position includes a hybrid working model and various employee benefits. #J-18808-Ljbffr ...

position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

detection. Ideal candidates will have strong skills in modern computer vision techniques, experience with deployment in production environments, and a proficiency in tools like PyTorch and OpenCV. This position offers a challenging yet rewarding environment with opportunities for mentoring within the team. #J-18808-Ljbffr ...

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 ...

systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based … London office. Competitive salary, equity options, and a culture of innovation. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based ...

ffmpeg or similar data/media processing tools Nice to Have It would be useful to have: * Distributed ML training infrastructure experience, such as PyTorch DDP, FSDP, DeepSpeed, sharded datasets, streaming readers, or GPU utilisation profiling* ROS2 experience, including publishers, subscribers, QoS, 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 The company is building advanced robotics and AI systems ...

TPUs, high-performance networking (NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience … skills, results orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets ...

Research work in London. The role will focus on building agents for machine learning and research, with an emphasis on LLM agents, Python engineering, PyTorch, and large-scale AI experimentation. The successful candidate will work with research engineers, research scientists, and other contingent workers on cutting-edge AI research projects. … hands-on experience in machine learning, AI, recommendation systems, pattern recognition, data mining, or related areas. Strong Python programming skills. Hands-on experience with PyTorch or similar machine learning frameworks. Experience developing machine learning models at scale. Experience querying or working with LLMs, LLM agents, or LLM post-training workflows. ...

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over ...

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 ...

datasets Design ML pipelines for video indexing and processing (face detection, quality assessment, tracking) Improve training performance across single and multi-node setups using PyTorch and Ray Build evaluation and experimentation systems (Parquet/Iceberg) for model output analysis Own model versioning, lifecycle management, and promotion to production Optimise inference … production language such as C++ or Java Solid understanding of data pipeline performance trade-offs: I/O, compute, batching, memory layout Hands-on PyTorch experience: training pipelines, data loading, preprocessing Practical distributed systems experience (Ray, DDP, or similar) Experience handling TB-scale or high-throughput data pipelines Familiarity with ...