1 to 25 of 42 Remote Hugging Face Jobs in England

observability, automated testing, and monitoring. Work with large scale, multi region data sets including structured and unstructured data. Use tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. … machine learning, deep learning, NLP, and large language models. Strong experience with transformer models, embeddings, vector search, and Generative AI architectures. Practical experience using Hugging Face, OpenAI, LangChain, Retrieval Augmented Generation, and diffusion models. Strong MLOps experience including MLflow, Kubeflow, Airflow, Docker, Kubernetes, and CI and CD tooling. ...

years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives … senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working — remote-first culture with in-person team sessions for collaboration. Career acceleration — opportunities ...

experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops ...

model evaluation and feature engineering Good communication skills and ability to work cross-functionally Bonus points for: LLM fine-tuning and frameworks like LangChain, Hugging Face or LlamaIndex Semantic search, recommendation engines, time-series or computer vision IaC tools like Terraform or CloudFormation Real-time inference, distributed training ...

roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI . Experience with vector databases and retrieval-based architectures. Proven experience designing and operating large-scale ML systems ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...

with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines. Work with embedding models, vector ...