726 to 750 of 775 PyTorch Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well ...

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/ ...

raise engineering standards • Own the platform and infrastructure that deploy and operate machine learning solutions across live hospitals Requirements Expert Python Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training … Capable of ensuring model performance and system health through effective monitoring and alerting mechanisms. Highest-signal resume keywords Expert Python AWS SageMaker MLOps Experience PyTorch Terraform ATS Optimization Keywords Hard Skills Python PyTorch TensorFlow MLflow Docker CUDA Git Automated Testing CI/CD Event-Driven Architectures Soft Skills Clear Communication ...

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 ...

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 ...

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 ...

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 ...