19 of 19 Hugging Face Jobs in London

. Youll work across the full development lifecycle, from discovery and technical design through to implementation, integration and production deployment. Technologies will include Python, Hugging Face, LangChain, Pinecone, LLMs, RAG and modern Full-Stack development tools . The business is particularly interested in engineers who have experience working … Hands-on experience building and deploying AI-powered applications Strong understanding of LLMs, Generative AI and RAG Experience with tools and frameworks such as Hugging Face, LangChain and Pinecone Full-Stack Engineering experience, with the ability to build applications and integrate AI capabilities Proven experience taking AI features ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft ...

GitHub, and GitLab. Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop production ...

/tool-use development, and evaluation frameworks. Strong programming proficiency in Python, with experience in AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or equivalent orchestration tools); proficiency in an additional language (TypeScript, Java) is a plus. AI‐Assisted Software Development – Demonstrated proficiency leveraging ...

software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying ...

Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need every technology ...

what 'good' means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with Git, CI/ ...

Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Exposure to working ...

team practice, such as evaluation standards, release processes, shared tooling or ways of working. Strong Python, with deep working knowledge of PyTorch and the Hugging Face ecosystem. Experience with automatic or model-assisted labelling of visual data, and with dataset quality control. A solid grasp of MLOps: experiment ...

production SaaS - Production LLM experience: RAG, fine-tuning, evaluation, monitoring - Strong Python, including building APIs and integrating models into applications - NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy or TensorFlow - AWS and distributed systems - Data pipelines and orchestration for model training and evaluation Nice to have - Legal ...

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 ...

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 ...

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. ...