51 to 75 of 134 PyTorch Jobs in the UK excluding London

data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning ...

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 ...

design, with the ability to design evaluations, interpret results, and make decisions under uncertainty. Deep hands-on experience with modernML/DL stacks(e.g., PyTorch and/or TensorFlow, scikit-learn, Hugging Face Transformers). Proven experience withdistributed training and scalable model serving, using modern architectures, tools, and frameworks. Hands ...

cloud technologies. Required technical and professional expertise Required Skills: Advanced Python with hands‐on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures. Practical experience with AWS cloud services for data, machine learning, and AI workloads. ...

range of machine learning techniques to real‐world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation. Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model ...

evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically ...

evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically ...

processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer and stakeholder relationships. Supporting ...

systems into production, including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs ...

processes. · Experience in translating customer requirements into technical requirements and development objectives. · Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). · Proficient in SQL. · Working with unstructured data · Building customer and stakeholder relationships. · Supporting ...

products within a regulated environment. Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. Strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language ...

including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development. Knowledge of ML frameworks such as PyTorch or TensorFlow. Experience building and shipping end‐to‐end ML systems in real‐world production environments. A BSc or MSc in Computer Science, Engineering, Mathematics ...

asynchronous teams across different time zones. Nice to have: Experience with implementing software tools to optimize code. Knowledge of ML frameworks such as PyTorch or TensorFlow. Knowledge of the ONNX format. Experience building, debugging, and shipping end-to-end ML systems in real-world production environments. About Electronic Arts ...

with the following technical skills:* Industry experience working on Agile projects across the full software life cycle.* Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.* A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with the people using ...

understanding of areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates ...

generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other ...

with OpenAI or similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees ...

evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

models work. Python: Strong proficiency and hands‐on programming experience in Python are required. ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models. Version Control: Proficiency with Git for version control and collaborative development is required. Containerisation: Familiarity with Docker ...

transformative ML systems from the ground up – Design and architect net‐new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly … generative AI solutions, working with large language models, building agentic systems, implementing RAG architectures, and training/fine‐tuning neural networks using frameworks like PyTorch Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including ...

level code, review implementations, and create replication patterns while collaborating with stakeholders to deliver well-documented, business-focused outcomes. The role requires Python and PyTorch expertise, knowledge of transformer architectures and RAG, plus hands-on experience with GCP, Docker, containers, and CI/CD. #J-18808-Ljbffr ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

. Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). Demonstrable hands-on experience: research projects, publications, internships, open-source, or production work. Comfortable reading ML papers and reimplementing them. ...