226 to 250 of 260 PyTorch Jobs in the UK excluding London

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

scalable solutions. Work closely with data scientists to deploy machine learning models into production environments; optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post‐deployment. Keep up‐to‐date with the latest developments in Python … Learning is a plus. Must have 8 years’ experience working as a Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB ...

Machine Learning Engineer London | Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy ...

boost AI model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution, and contribute to open research with practical insights and publications. #J-18808-Ljbffr ...

engineers to move research into production. The role emphasises robust, scalable pipelines, containerised workflows, and secure, compliant deployment in cloud environments. Strong Python and PyTorch skills are essential. #J-18808-Ljbffr ...

throughput improvements Preferred: Experience with LLVM/MLIR development AI Model Profiling & Framework Optimization: Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations) Preferred: Experience optimizing models on multiple ...

matter in silicon. What they’re looking for: Degree in Physics/Engineering/Electronics and a PhD in Machine Learning Strong Python + PyTorch/JAX skills Publication record in ML or EDA venues Ability to move between research and implementation Clear communication across ML and circuit‐design audiences ...

large-scale python codebases Familiarity with the python ecosystem: both the standard library and popular open source libraries such as Flask, Requests, NumPy or PyTorch Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services Ability to provide, or desire ...

Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine LearningFamiliarity with tools and libraries such as Matlab, Simulink, Python, C/C++, PyTorch, OpenAI-Gym/Universe, Model-based designA keen interest in innovative technologies and their applicationsBenefits:Company bonus: Up to 2,500 (based on company performance ...

ensure alignment between business goals and architectural direction. Candidate Profile Essential: Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures. Technical expertise in the ML accelerator software space. Excellent communication skill, both written and verbal. Collaborative mindset ...

server-side application performance,Experience with kernel bypass (RDMA, DPDK, SPDK),Experience with cloud native technologies such as Kubernetes, CSI, Ansible,Familiarity with PyTorch based training applications.Please note: If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated 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 ReasoningEstablish explainability standards across the ML stack, using SHAP or equivalent frameworks.Define patterns … scale in 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, and governance ...

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 ...

Locations: Cambridge, UK or Barcelona, Spain Salary & Benefits: Competitive About AstraZeneca and AISI At AstraZeneca,technologyand science meet to change what is possible for patients. We are building a connected, end-to-end Enterprise AI ...

infrastructure. Take ML solutions through the full lifecycle, from experimentation and prototyping through to deployment, monitoring and iteration. Work with frameworks such as PyTorch, TensorFlow and Scikit-learn. Develop scalable ML pipelines, tooling and reusable components that accelerate the delivery of AI systems. Make architectural and technical decisions around … Engineer or similar. Strong Python skills and experience building production ML systems. Experience taking machine learning models from development into production. Practical experience with PyTorch, TensorFlow, Scikit-learn or similar ML frameworks. Good understanding of core ML concepts, including statistics, probability and machine learning techniques. Experience with cloud platforms such ...

greenfield compiler stack Developing intermediate representations, lowering pipelines and transformation passes Building hardware-aware compiler optimisations Integrating with technologies such as Google HEIR, PyTorch and ONNX Runtime Translating high-level workloads into efficient code for a novel accelerator Working closely with hardware, simulation, cryptography and algorithms engineers Benchmarking, profiling ...

this one Strong SE(3) geometry, kinematics and inverse kinematics Imitation learning, whether behaviour cloning, diffusion policies or VLA fine tuning Fluent PyTorch MuJoCo and or Isaac Comfortable owning a stack end to end with no one above you to check the work DESIRABLE, NOT ESSENTIAL Dex retargeting, AnyTeleop ...

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 ...

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 ...

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 ...

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 ...

goals with a focus on neurobiology. • To evaluate, test and maintain software libraries, especially those used in image processing and machine learning such as PyTORCH and Tensorflow as well as OpenCV and Jax. • To be responsible for the maintenance of the current Scientific Computing facilities audit, ensuring licences are kept … LFS. Programming and Automation Skills Essential: Competent in writing Shell Scripts. Desirable: Experience of C, Python or Fortran programming. Experience of installing and using PyTORCH, Tensorflow, openCV & Jax Understanding the work of the Laboratory Essential: Experience working in an IT support, academic or research environment. Desirable: Research experience in Biology. ...

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 ...

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 ...