76 to 100 of 184 Hugging Face Jobs in the UK

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 ❯

practices. What We’re Looking For Strong academic background in Computer Science, ML, AI, or a related field. Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring. Experience building robust backend systems and APIs to serve ML models 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 ❯

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 ❯

Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling Comfortable More ❯

Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) 👀 About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling Comfortable More ❯

Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) 👀 About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling Comfortable More ❯

Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) &##128064; About You 4+ years of professional experience building production-grade systems in Python Solid understanding of backend architecture, API design, and data modeling More ❯

learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries likePyTorch, Hugging Face Transformers, andscikit-learn. Experience withdata manipulationusing libraries such asPandasandNumPy, and familiarity withparallelizationorasynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such More ❯

AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI More ❯

AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI More ❯

with LLMs and AI-powered search systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using open-source tools like LangChain, Langflow, and DataStax Vector Search. Fine-tune LLMs (Hugging Face, OpenAI, Cohere, or similar) to improve response quality and domain-specific performance. Optimize embedding models for better semantic search and document retrieval. Integrate AI-driven solutions with 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 ❯

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 ❯

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 ❯

Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company More ❯

Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company More ❯

Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company More ❯

Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company More ❯

Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company More ❯