576 to 600 of 631 PyTorch Jobs in England

Responsibilities Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across BIS and divisions, covering master/reference data, data quality ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into ...

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 ...

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 ...

Machine Learning Engineer Rate: £770 per day (Inside IR35) Location: Osterley, West London (Hybrid - 2 days per week onsite) Clearance Required: BPSS The Opportunity We're looking for an experienced Machine Learning Engineer to join ...

Machine Learning Engineer Rate: £770 per day (Inside IR35) Location: Osterley, West London (Hybrid - 2 days per week onsite) Clearance Required: BPSS The Opportunity We're looking for an experienced Machine Learning Engineer to join ...

into working software. Experience with any of the following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming ...

engineering best practices. Experience working with cloud environments, ideally Azure. Experience with concurrent, parallel, or distributed computing. Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions. Desirable skills Experience working with large ...

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by ...

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 ...

lifecycle infrastructure, optimise models for deployment and support reliable AI systems across cloud and edge environments. Key Skills and Requirements Strong Python/PyTorch and ML infrastructure experience Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning Strong MLflow, model registry and ML lifecycle experience Experience with TensorRT … you. KEY SKILLS: MLOps/MLOps Engineer/ML Infrastructure/ML Platform/AI Engineer/Machine Learning/ML/Python/PyTorch/Ray/DeepSpeed/PyTorch Lightning/MLflow/TensorRT/ONNX/Docker/Kubernetes/CI/CD/GitHub Actions/ ...

machine learning, from model development, deployment and serving to monitoring and maintenance Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch) Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe) Experience with high-volume data processing … Location: London, 2 days a week in office (West London, UK) Level: Senior and Expert level Required Skills: Python, Scala, TensorFlow, Kubeflow, PyTorch #J-18808-Ljbffr ...

well in fast-moving environments where the path forward isn't laid out for you.### **Nice-to-have:*** ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.* Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.* Low-precision inference: INT8/FP8/FP4 quantization, mixed … years of professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures and inference optimization techniques (e.g. quantization ...

day. About The Job Help make Graphcore hardware feel native inside the ML frameworks engineers use every day. As a Software Engineer in our PyTorch team, you will help build the software that connects Graphcore accelerators with state-of-the-art machine learning frameworks. You will design, implement, optimise … support features across PyTorch, Triton and related technologies. Your work will help ML engineers and researchers get more from Graphcore hardware, without changing how they want to build. That means better compatibility, stronger performance and cleaner developer experiences. You will contribute to upstream PyTorch, support our hybrid Python and C++ ...

Senior AI Platform Engineer The Senior AI Platform Engineer is responsible for defining and delivering the infrastructure strategy underpinning IQVIA's Large Language Model (LLM) programmes. This role provides technical leadership across compute, data, model ...

Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient … work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud ...

moving research prototypes to reliable deployment; Have experience partnering closely with researchers throughout implementation; Be proficient in Python and deep learning frameworks such as PyTorch or JAX; Have strong software engineering fundamentals, including clean, testable, well‐documented and maintainable code, version control and code reviews; Have experience with distributed training … frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train; Have experience optimising models for inference, including quantisation, distillation and pruning; Nice to have: experience with biomedical data modalities such as genomics, multi‐omics, clinical or imaging data in an ML context; Publications or contributions to open‐source ML projects ...

Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow … application of Ethical AI considerations KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance #J-18808-Ljbffr ...

Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow … conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance ...

prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation process Proficiency in Python and deep learning frameworks such as PyTorch or JAX) Strong software engineering fundamentals - writing clean, testable, well-documented and maintainable code, version control, code reviews Experience with distributed training frameworks such … PyTorch Distributed, DeepSpeed, FSDP or Ray Train Experience optimising models for inference (e.g. quantisation, distillation, pruning) Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical or imaging data in an ML context is advantageous Publications/Contributions to open-source ML projects or tooling This ...

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines … teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries ...

move from research prototypes to reliable deployment Experience collaborating with researchers during the implementation process Proficiency in Python and deep learning frameworks such as PyTorch Strong software engineering fundamentals such as writing clean, testable, well-documented and maintainable code, version control, code reviews Working knowledge of distributed training frameworks such … PyTorch Distributed, DeepSpeed, FSDP or Ray Train Exposure to model optimisation techniques for inference, e.g. quantisation, distillation, pruning Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical or imaging data in an ML context is advantageous Publications or contributions to open-source ML projects ...

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and ...

reasonably required and which are consistent with the general level of responsibility of this role Technology environment Language: Python ML tooling: PyTorch or similar frameworks, experiment tracking and model registries Workflow orchestration: ML workflows for training, validation, deployment and retraining Deployment: Containers, model-serving frameworks and infrastructure as code Observability … including clean APIs, testing, performance awareness and maintainable servicesPractical understanding of the ML lifecycle, including training, validation, inference, model release, monitoring and retrainingExperience with PyTorch or similar ML frameworks and model-serving technologiesExposure to regulated or high-reliability production environmentsExperience supporting multiple models, services or teams on a shared ...

Software Engineer to help make Graphcore hardware feel native inside ML frameworks. You will design, implement, and optimize features that connect Graphcore accelerators with PyTorch, Triton and related technologies. Join a SCRUM team in Frameworks, contribute to upstream PyTorch, and support a hybrid Python/C++ extension. You will solve ...