201 to 225 of 240 PyTorch Jobs in London

will design experiments, study model behavior, and translate insights for partner institutions and frontier labs. You will develop modular research code in Python with PyTorch, contribute to tooling, and document findings in papers and reports, working with senior scientists to shape safety standards across applications. #J-18808-Ljbffr ...

Olix Computing seeks an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch/JAX to the hardware and enabling production inference at rack scale. This is a whole-stack role at the intersection of runtime, network, and accelerator with close collaboration ...

OLIX is seeking an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch and JAX down to the metal. You will work at the intersection of runtime, network, and accelerator, partnering with hardware, compiler, and modelling teams to optimize serving performance. Join ...

Lightning AI, the company behind PyTorch Lightning, is seeking a Senior Software Engineer to design and build backend systems powering its agent platform. You will work on orchestration frameworks, tool execution, workflow management, memory and state handling, and developer-facing APIs for building production-ready AI applications. This role ...

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 ...

plus. Research Fluency: Comfortable navigating academic literature, benchmarking SOTA models, and integrating them into product pipelines. Engineering Rigor: Strong Python skills; experience with PyTorch, Torchvision, OpenCV, and ML tooling (e.g. Lightning, W&B). Autonomy: Capable of defining technical direction, leading architectural decisions, and working independently in a fast‐moving ...

evaluation, and serving of large foundation models — trainer, dataset loaders, checkpointing, and experiment orchestration code. Distributed training enablement: Improve high‐throughput training stacks (e.g., PyTorch DDP/FSDP, NCCL) for performance, stability, and reproducibility, including preemption‐safe and sharded checkpointing. Data systems and pipelines: Build end‐to‐end Python pipelines … Python in a large, multi‐author codebase, with strong SWE fundamentals (ML systems experience strongly preferred). Hands‐on with modern ML training stacks (PyTorch; DDP/FSDP or comparable); have personally debugged distributed jobs across many GPUs and nodes. Have shipped non‐trivial end‐to‐end data pipelines ...

Machine Learning Engineer Location: London Working pattern: Hybrid/client-site as required Employment type: Permanent The Opportunity: Were working with a fast-growing technology consultancy operating at the forefront of AI, machine learning and ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may ...

novel approaches and clever hacks are often required for the problems that we are working on. You will use our Kubernetes cluster to deploy PyTorch and TensorFlow training jobs, Snowflake and Dataflow to build datasets, tools like Streamlit to prototype new demos (try one of our live demos here … models and auto-labeling data. What You Need +5 years of professional software engineering experience with proficiency in Python. Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX. Strong experience with computer vision and multimodal LLMs. Trained neural networks that moved into production. Nice To Have Industry experience with ...

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 ...

Machine Learning Engineer London (Hybrid) Salary: £80,000 - £150,000 SC eligibility required A leading applied AI consultancy is looking for an AI/ML Engineer to join its AI & Data Science team, working on ...

Machine Learning Engineer London (Hybrid) Salary: £80,000 - £150,000 *SC eligibility required* A leading applied AI consultancy is looking for an AI/ML Engineer to join its AI & Data Science team, working on ...

Senior Machine Learning Engineer Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance ...

Why the company? We established the company 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 ...

Key Responsibilities Generative Avatar Performance: Work at the heart of the Avatar Video Team to develop and enhance our generative avatar capabilities. Using conditioning signals such as audio, video, or text, create models that guide ...

Senior AI/ML Engineer – 12‐month Fixed‐Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine‐learning models focused on user personalisation, including recommendation engines ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is ...

Type Hybrid Department AI We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize … resource management, and cluster configuration Python and C++ programming with focus on systems and infrastructure automation Hands-on experience with ML frameworks such as PyTorch in distributed training contexts Strong understanding of networking, storage, and compute resource management for ML workloads Experience developing APIs and managing distributed systems for both ...

Who We AreAt JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a ...

About the Team You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment. We are seeking a Machine Learning Team ...

attention mechanisms, graph message-passing, sequence modelling. Track record of influencing technical strategy across teams - you don't just build, you shape direction. Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration.Nice to Have: Experience in FinCrime, fraud detection, AML, or regulated financial services. Experience with graph-based methods (GNNs … Experience establishing modern ML practices in organisations scaling their ML capabilities.### Skills Required* Deep Learning* Machine Learning Architecture* System Design (latency/throughput)* Python* PyTorch* Distributed Training* ML Pipeline Orchestration* Sequence Modelling* Graph Neural Networks* Attention Mechanisms* Financial Crime Detection* Fraud Detection* AML* Foundation Models* LLM Evaluation #J-18808-Ljbffr ...

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 ...

contribute to internal reading groups. Contribute to the publication of high-impact conference, journal and sponsor-facing scientific outputs. Write high-quality Python and PyTorch code for model training, inference and evaluation. Translate model outputs into biomarkers that support clinical-trial endpoints, enrichment strategies and disease-characterisation workflows. Work with … medical imaging. Deep understanding of machine learning theory and its background, including deep learning, linear algebra, probability theory, statistics and optimisation. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience developing and evaluating deep learning models for imaging, segmentation, classification, regression ...

moving parts: rollouts, replay buffers, reward signals, data filtering, policy updates, evaluation loops, and failure analysis Are familiar with deep learning frameworks such as PyTorch or JAX Are proficient in Python, including concurrency, asynchronous programming, multiprocessing, and performance optimization Can debug distributed GPU workloads across CUDA runtime, container runtime, driver … versions, NCCL or equivalent communication layers, networking, storage, scheduling, and checkpointing Have experience with profiling tools across the stack, for example py‐spy, PyTorch profiler, Nsight, perf, tracing, metrics, logs, or custom instrumentation Have experience with inference stacks such as vLLM, SGLang, TensorRT‐LLM, Dynamo, or custom serving infrastructure ...