76 to 94 of 94 Hugging Face Jobs in the UK

code development & deployment in production Core Technical Skills Strong experience in: Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch, etc.) Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.) Agentic AI/Multi-agent system design Expertise in: NLP, Computer Vision, and Conversational AI Model deployment (MLOps, APIs, cloud ...

testing and benchmarking to support ongoing improvement QualificationsKey Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands-on professional experience in fine-tuning and deploying machine learning solutions end-to-end, with a focus ...

training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. NLP depth on long-form professional text ...

Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol ...

Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. Experience working on technically ...

solutions in production environmentsDeep knowledge of AI/ML frameworks such as LangChain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch or Hugging FaceHands-on experience with cloud platforms, preferably Azure (AWS or GCP also considered)Background in Data, Infrastructure or Solutions Architecture with cross-disciplinary expertiseStrong programming skills ...

modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious ...

strong Machine Learning Engineering or Data Science background alongside hands-on experience taking AI systems into production. Key experience includes: Production Python PyTorch, Hugging Face Transformers or similar Strong hands-on LLM experience RAG, vector search, prompting, tool use and agent orchestration Designing and running model evaluations Cloud ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).Hands-on experience working with Distributed Spark based systemsExperience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post ...

solutions using LLMs, NLP or Generative AI technologies. Hands-on experience with leading models and platforms such as OpenAI, Claude, Gemini, Cohere, Mistral or Hugging Face. Experience with supervised fine-tuning (SFT), prompt tuning or instruction tuning using proprietary datasets. Strong understanding of LLM fine-tuning approaches, including … principles of RLHF/RLAIF. Excellent Python development skills. Experience with frameworks and tools such as LangChain, Hugging Face Transformers, Pandas, DVC or Weights & Biases. Knowledge of model evaluation techniques, including BLEU, ROUGE and custom evaluation frameworks. Exposure to speech technologies, including Whisper, ElevenLabs, Bark or similar platforms. ...

with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

with emerging technologies – exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

members, and influence without formal authority in an applied research settingStrong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed)Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, or KDDTechnical QualificationsDeep understanding of document understanding fundamentals: document ...

research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Experience in developing and shipping software products rapidly. Contributions to open-source projects. In this role, you will lead the development ...

enterprises. Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs).Familiarity with core data ...

reviews and setting software engineering best practices \n \n 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. \n \n Experience working with structured and unstructured data, such ...

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 ...

some of the most important educational challenges in Data & AI.Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. Competitive Compensation – We offer a competitive salary with attractive benefits. Work Flexibility – Benefit from flexible working hours ...

effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. Founded in 2011 and headquartered in downtown ...