26 to 50 of 100 Hugging Face Jobs in the UK excluding London

Description: Strong programming skills in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯

Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable experience experimenting with and deploying applications using Large Language Models (e.g., via OpenAI, Anthropic, or open-source models via Hugging Face). Experience building and maintaining data pipelines and a comfort with software engineering best practices (version control, CI/CD, testing). Exceptional communication skills, with the More ❯

Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable experience experimenting with and deploying applications using Large Language Models (e.g., via OpenAI, Anthropic, or open-source models via Hugging Face). Experience building and maintaining data pipelines and a comfort with software engineering best practices (version control, CI/CD, testing). Exceptional communication skills, with the More ❯

AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI More ❯

AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI More ❯

AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI More ❯

Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning More ❯

Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning More ❯

Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning More ❯

foundational understanding and subsequent practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating across More ❯

CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features, including embeddings, retrieval-augmented generation More ❯

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) and stay connected with AI community e.g. Hugging Face. Engineering Excellence: Apply SOLID principles, design patterns, and dependency injection to AI systems, ensuring maintainability and robustness. Data & Model Governance: Ensure responsible AI practices, including model explainability, fairness More ❯

familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯

familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯

familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯

Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯

Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯

Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯

who thrives in a collaborative, mission-driven environment. You bring: Proven experience deploying machine learning models into production environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based AI services (AWS, Google More ❯

SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (e.g., Hugging Face, LangChain). Ability to assess AI tools and recommend optimization for performance improvements. Strong consulting and communication skills — able to translate technical concepts into business value. Bachelor More ❯

SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (e.g., Hugging Face, LangChain). Ability to assess AI tools and recommend optimization for performance improvements. Strong consulting and communication skills — able to translate technical concepts into business value. Bachelor More ❯

to analyse and query legal documents, streamlining compliance and supporting smarter decision-making. Tech stack: Core: Python, NumPy, Pandas, SQL, Git/GitHub Integration & Deployment: Flask, FastAPI, MLflow, Triton, Hugging Face, OpenAI/Anthropic/Cohere/Mistral APIs, LangChain, LlamaIndex, FAISS/Weaviate/Pinecone/Qdrant MLOps & Infrastructure: Model versioning, monitoring, logging, bias detection, explainability, LLM More ❯

Java, and SQL/NoSQL databases, along with API development and data integration techniques. Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible More ❯

orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation More ❯

orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation More ❯