1 to 25 of 137 Permanent PyTorch Jobs in the UK excluding London

assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering ...

Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative ...

Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative ...

Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative ...

Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative ...

ethical considerations. \n\n \n Strong interpersonal skills and team working. \n\n DESIRABLE: \n \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with ...

coaching and developing junior members of a team and wider community. \n\n DESIRABLE: \n \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with ...

prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly ...

prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly ...

prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly ...

prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly ...

prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly ...

Experience Required \n Essential \n \n Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). \nPractical experience developing, training and evaluating machine learning, NLP and predictive models.Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure ...

systems. Qualifications: 3+ years of production experience delivering fullstack AI/ML applications. Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask). Experience with frontend frameworks: React, Vue, or Angular. Practical expertise in building and scaling ML models ...

systems. Qualifications: 3+ years of production experience delivering fullstack AI/ML applications. Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask). Experience with frontend frameworks: React, Vue, or Angular. Practical expertise in building and scaling ML models ...

systems. Qualifications: 3+ years of production experience delivering fullstack AI/ML applications. Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask). Experience with frontend frameworks: React, Vue, or Angular. Practical expertise in building and scaling ML models ...

systems. Qualifications: 3+ years of production experience delivering fullstack AI/ML applications. Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask). Experience with frontend frameworks: React, Vue, or Angular. Practical expertise in building and scaling ML models ...

team and wider community. \n Must have active UK Government Security Clearance\n DESIRABLE: \n \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with ...

APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining ...

APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining ...

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

systems for cost efficiency, performance and scalability against standard benchmarks.18. Stay ahead of developments in GenAI (e.g. LLMs, multimodal models), ML frameworks (e.g. PyTorch, TensorFlow, Scikit-learn), orchestration tools (e.g. LangChain, LangFuse), model hubs. Taking responsibility for your own continuous professional development.19. Fostering a culture of responsible innovation and continuous … C#, Rust etc) Proficiency in at least one programming language (eg Python, Scala etc) plus SQL . Proficiency in ML libraries (e.g., TensorFlow, PyTorch, Hugging Face). Ability to set up and use APIs and integrate AI components into existing systems and workflows. Ability to collaborate across disciplines such ...

technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production ...

Learning and ideally Azure AI Foundry Good understanding of MLOps and LLMOps Excellent Python engineering skills with experience using frameworks such as LangChain, LangGraph, PyTorch and Pydantic Experience with RAG, vector search, embeddings, prompt engineering and enterprise retrieval architectures Experience building AI solutions within document-heavy environments such as legal ...

learning, AI engineering, or data science Hands on experience with production ML systems Strong Python skills and experience with tools such as: scikit learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring ...