1 to 25 of 159 Permanent PyTorch Jobs in the UK excluding London

discipline, or equivalent practical experience. Strong Python programming and software-engineering skills. Experience developing machine-learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference ...

image processing principles. Strong knowledge of modern deep learning architectures including CNNs, U-Net and related computer vision frameworks. Production-level experience with PyTorch and/or TensorFlow. Experience building, training, evaluating and deploying machine learning models. Strong understanding of Python scientific and machine learning ecosystems. Expertise in object-oriented ...

software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges … source control, code review, testing and continuous integration. Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every ...

timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments. Experience with version control ...

token classification. Working knowledge of large language models, including prompting and retrieval-augmented generation (RAG).Experience or coursework in Deep Learning frameworks like PyTorch or TensorFlow. Strong problem-solving skills and a curiosity for learning new technologies. Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable ...

discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with ...

discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with ...

experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability ...

experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability ...

depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. Mastery of SQL (including advanced optimisation techniques) and experience with ...

wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied ...

Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative ...

Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

performance Skills Proven commercial experience in Data Science and Machine Learning Strong Python and SQL skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including ...

/Azure/Google Professional Cloud Architect, TOGAF, or equivalent). Experience with large language model training and inference architecture at scale (e.g., PyTorch, DeepSpeed, Megatron-LM, vLLM). Experience with edge and on-device AI inference and the device-to-cloud continuum. Advanced Kubernetes experience: GPU scheduling plugins, multi ...

communications for technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

model development Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex ...

research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning ...

infrastructure engineering experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving ...

leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing ...

C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation). Experience interacting ...

team setting, including code reviews and setting software engineering best practices. Hands‐on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs ...

experience in AI infrastructure, inference serving, accelerator integration, or comparable deep‐tech hardware‐software environments Strong Python skills and familiarity with major ML frameworks (PyTorch in particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT ...

Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. Analytical & Problem‐Solving Strength: Excellent problem‐solving and analytical skills. Troubleshooting & Technical … Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, TensorFlow etc. Skilled in application of MLOps frameworks within a production environment. Excellent communication skills, both verbal and written. Strong time management and organisation skills. ...