676 to 700 of 721 PyTorch Jobs in the UK

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 ...

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 ...

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 ...

Based in East London (Shoreditch Exchange, Hoxton). Backed by cutting‐edge research and strong industry partnerships. Stack: TypeScript, React, Next.js, Express, Prisma, Python (PyTorch), PostgreSQL, Docker, Kubernetes, AWS, Terraform. What we're building: At Polaron, we’re building the next generation of tools that enable materials scientists and manufacturers … explain complex technical concepts with clarity. Bonus points for: Experience building high‐performance canvas or visualization interfaces (D3, Observable Plot). Exposure to PyTorch or machine‐learning pipelines. Knowledge of on‐prem or hybrid cloud deployments. Mindset and values: Is product‐oriented: you care about impact, not just elegant code. ...

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 ...

Strong problem-solving skills with the ability to work independently and collaboratively. Clear written and verbal communication skills. Familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX) advantageous. Experience with optimisation, reinforcement learning, or LLMs a plus. Exposure to chip design or applied AI research desirable. Keywords: Research Engineer/Machine … Learning/AI/LLMs/Reinforcement Learning/Generative Models/Deep Learning/PyTorch/TensorFlow/JAX/Python/C++/Semiconductor/Chip Design/Optimisation/London/Cambourne/UK/Permanent If you are interested in this Research Engineer position, please send ...

improving them and enjoys figuring out difficult problems in new domains. What you’ll be working on Developing and deploying LLM-powered systems using PyTorch Building and improvingembedding and reranking models Designing datasets and generating synthetic training data Working on semantic search and document intelligence systems Running experiments and building … turn complex workflows into ML solutions What we're looking for You’ll ideally have hands on experience with several of the following: PyTorch Transformer-based models such as BERT, RoBERTa, Llama, etc. LoRA/QLoRA/PEFT Semantic search/information retrieval Dataset construction, cleaning or synthetic data generation ...

technologies. Ready to design and scale infrastructure that powers the future of AI-driven engineering? Apply now. Responsibilities Design and scale training environments using PyTorch Distributed, JAX, or NVIDIA NeMo across multi-node/multi-GPU clusters. Manage a mixed-compute strategy spanning public clouds (AWS/Azure) and sovereign … MLFlow) that validates physical consistency laws. Skills/Must have Orchestration: Expert-level Kubernetes (AKS/EKS) is essential. ML Frameworks: Strong proficiency in PyTorch, JAX, or NVIDIA NeMo. HPC/Data: Solid experience with Python, Go, and distributed data tools (Dask/Spark). Background: Experience in AI research ...

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 ...

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 ...

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 ...

than exploration for its own sake. What we’re looking for Must-have Strong experience training deep learning models at scale Strong Python and PyTorch skills Hands-on experience with diffusion models (image domain required; video preferred) Experience with large scale multi-GPU/multi-node training Good understanding … human-centric generation Familiarity with world/interactive models Experience with GANs or VAEs Experience optimizing inference systems for production Our stack Python, PyTorch, CUDA DeepSpeed, distributed training & inference Sequence parallelism AWS, SLURM, Docker GitHub, CI/CD pipelines Who you are You are research-driven but outcome-focused ...

Overall purpose: Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group. Main duties/key responsibilities: Work directly with customers and clients ...

Aquent, a proud partner to a leading global technology company, is seeking a visionary Research Engineer to drive fundamental advancements in artificial intelligence. This is an extraordinary opportunity to contribute to cutting-edge research that ...

Overall Purpose Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group. Overall Purpose Experienced embedded firmware/systems engineer with specific knowledge ...

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 ...

that helps ML and AI workloads run efficiently on its compute platforms. We’re seeking experienced software engineers with strong C++ skills and practical PyTorch experience. The role spans ML frameworks, compilers, runtimes, drivers, embedded software and performance optimisation, offering opportunities to tackle complex engineering challenges across the ML software ...