126 to 150 of 173 PyTorch Jobs in the UK

agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre‐training, or post‐training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast‐moving environment Deadline to apply: None. ...

Principal Data Scientist & Machine Learning Researcher Gloucester | London | Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating ...

/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing on projects for AI labs and fintechs. Ideal candidates will ...

learning. Responsibilities include training large-scale generative models, designing experiments, and enhancing user experiences with new features. Ideal candidates have a strong proficiency in PyTorch and experience building end-to-end machine learning pipelines. We offer competitive salary, opportunities for growth, and a collaborative research-driven environment. #J-18808-Ljbffr ...

team and customer data. Applicants should have a strong degree in a relevant STEM field and practical experience in Python, ideally with frameworks like PyTorch or JAX. This position is in London and requires regular in-person work, with no visa sponsorship available. #J-18808-Ljbffr ...

ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

developing deep learning systems, with shipped models or published research. Hands-on experience with Vision Language Models, LLMs, or generative models. Strong Python and PyTorch/JAX skills, including debugging, profiling, and shipping. A passion for bridging the gap between simulation and reality. This is a technically challenging role with ...

audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state‐of‐the‐art neural network architectures. Hands‐on experience building end‐to‐end machine learning pipelines, including data collection ...

high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. ...

architectures. Hands‐on experience training, fine‐tuning, or deploying large‐scale ML models in production. Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly. Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray). Strong software engineering fundamentals ...

making independent decisions, while also being able to collaborate effectively within a team,* Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial ...

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 ...

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 ...

processes. Ideal candidates should possess a PhD or equivalent experience and a strong track record in ML, including practical experience with frameworks like JAX, PyTorch, or TensorFlow. #J-18808-Ljbffr ...

term signals, and optimizing model architectures to improve user satisfaction. Requirements Mid to Senior level experience in production ML systems Skills Python Java Scala PyTorch TensorFlow GCP Job Details Job Type: Full-time Location: London, UK (Work from Anywhere) Visa Sponsored #J-18808-Ljbffr ...

constraints. The ideal candidate will have experience building scalable and efficient ML pipelines, along with expertise in languages like Python and libraries such as PyTorch and JAX. Join Bjak to help deliver high-impact solutions in a dynamic environment. #J-18808-Ljbffr ...

less “we have a clean benchmark” and more “figure it out from 50 examples and make it work on-device.” What they need Strong PyTorch and clean deep learning engineering habits Solid understanding of modern architectures – transformers, VLMs, and beyond Grounding in classical signal processing and CV fundamentals Experience owning ...

VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands‐on experience building, fine‐tuning, and deploying large‐scale ML systems. Strong experimental and research skills — capable of taking projects from concept ...

architectures, high-performance storage or advanced networking (beneficial but not essential) Familiarity with research-related software ecosystems or AI/ML tooling (e.g. PyTorch or similar), at a conceptual level Experience working with external partner organisations where stakeholder engagement is commercially or strategically sensitive What Will Make You Stand ...

clearance, and a minimum of 5 years of residency in the UK. Proficiency in Python and familiarity with relevant tools like PyTorch and OpenCV is essential. #J-18808-Ljbffr ...

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 ...

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 ...

detection. Ideal candidates will have strong skills in modern computer vision techniques, experience with deployment in production environments, and a proficiency in tools like PyTorch and OpenCV. This position offers a challenging yet rewarding environment with opportunities for mentoring within the team. #J-18808-Ljbffr ...

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 ...

About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the ...