126 to 150 of 181 PyTorch Jobs in England

post-training experience: RLHF, GRPO etc Experience designing or building RL environments grounded in real-world workflows Distributed training at scale Python and PyTorch Experience at a top-tier AI lab or company A blend of theoretical depth mixed with the ability to ship production systems Publications ...

datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with ...

customer‐facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or Open XLA. Experience in one or more of the following areas: data center infrastructure, networking, compute, storage. Experience in one or more ...

customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. Experience in one or more of the following areas: DevOps, Security, Site Reliability Engineering (SRE), data center infrastructure, networking, compute, or storage. About ...

mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar frameworks. Experience with one or more of: scientific machine learning, physics-informed ML, time-series modelling, optimisation, simulation, forecasting or probabilistic modelling. ...

degree or PhD in Computer Science, Engineering or a related field. Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. Experience in one or more of the following areas: DevOps, Security, SRE. Experience in one or more of the following areas: Data Center ...

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. ...

/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 ...

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 ...

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 ...

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 ...

Hands-on post-training experience: RLHF etc Experience designing or building RL environments grounded in real-world workflows Distributed training at scale Python and PyTorch Experience at a top-tier AI lab or company A blend of theoretical depth mixed with the ability to ship production systems Publications ...

+ academic work What you bring Engineering/physics degree Strong RL experience (deep RL, debugging, non‐trivial problems) Python + modern ML stack (PyTorch/JAX, NumPy, RL libs) Comfortable with time‐series sensor data Ability to turn ambiguous operational challenges into tractable ML problems Happy switching between research ...

physical robotic systems Strong expertise in at least two of: Behaviour Cloning Diffusion Policies Vision-Language-Action Models Reinforcement Learning for Manipulation Strong PyTorch experience Excellent Python software engineering skills Strong experimental design and evaluation capabilities Desirable Experience Humanoid or bi-manual manipulation systems Diffusion Transformer architectures ...

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 ...

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 ...

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 ...

biologists to drive advancements in synthetic genomics. The ideal candidate will have a background in engineering and hands-on experience with ML technologies like PyTorch and Hugging Face, and will thrive in a dynamic, collaborative environment where they can genuinely influence technical direction. #J-18808-Ljbffr ...