51 to 75 of 93 Hugging Face Jobs in London

continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. Technical Stack Core: Databricks Power BI REST APIs MLflow Hugging Face Transformers Microsoft Fabric Docker CI/CD with Azure DevOps Power Automate integration for AI workflows What You'll Bring Hands‐on experience ...

based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis ...

pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). Evidence of participating in Open-Source Software (OSS) development, public hackathons, or other sharable ...

role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming ...

pipelines and LLM-based systemsEvaluation methodologies for ML/IR/GenAIAdvanced programming skills in PythonExperience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design and statistical analysisPreferred qualificationsPhD ...

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 systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

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 systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

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 systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

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 ...

Desirable Skills Strong understanding of generative AI architectures and prompt engineering patterns (essential) Ability to code in Python (essential) Familiarity with TensorFlow, PyTorch, or Hugging Face (essential) Experience with version control, e.g., Git (essential) Understanding of CI/CD pipelines (essential) Strong documentation and requirements analysis skills (essential ...

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 ...

yourself and leading through others, in an applied research setting Strong 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, KDD Technical Qualifications Deep understanding of document understanding fundamentals ...

Experience with time-series data, including storage and management. A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface). Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models ...

model-based), model post-training and test-time adaptation. Preferred qualifications, capabilities, and skills Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.), agent frameworks (e.g. LangGraph, Google ADK, etc.), common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL ...

bindings). Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware. Proficiency in Python and PyTorch/HuggingFace ecosystems. Data Structures & Knowledge Processing Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings, network analysis ...

prompt evaluation frameworks and guardrail architectures Requirements 3+ years of experience focusing on Natural Language Processing and Generative AI Hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT/LoRA) Experience deploying models with vLLM, Ollama, or Triton Inference Server Strong background ...

communicate findings effectively. Stay current with developments in AI and machine learning through continuous learning. Technical Stack Core: Power BI LangChain basics MLflow Databricks Hugging Face Transformers What You'll Bring Hands-on experience in data science or applied analytics. Solid Python programming skills and understanding of machine ...

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. About the job In this role, you will lead ...

proprietary datasets; Strong understanding of fine-tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelling; Strong Python skills with LangChain, HuggingFace Transformers, and data pipelines using Pandas, DVC, and Weights & Biases; Ability to define and track generation quality using BLEU, ROUGE, and editorial-specific evaluators; Experience ...

industry experience3+ years of machine learning experienceExperience working in research or experimental environments with evolving requirementsProficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)Experience working with diverse data representations, including 2D and 3D geometryExperience with version ...

high performance in low latency environments. The ideal candidate has over 3 years of experience in Natural Language Processing, strong knowledge of PyTorch and Hugging Face Transformers, and a solid background in software engineering practices. Join us to innovate and drive AI solutions in diverse domains. #J ...

Code (IaC), and deploy Large Language Models (LLMs) into production. By architecting resilient LLMOps pipelines and utilising serving frameworks like Triton, vLLM, or Hugging Face TGI, you will guarantee ultra-low latency, high availability, and proactive model monitoring. Crucially, you will instil financial accountability by establishing robust FinOps ...

consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. ...

experience in a software engineering, solutions engineering, or ML deployment roleProficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)Familiarity with building LLM applications, RAG systems, or conversational AI workflowsExperience integrating with enterprise systems via APIs or middleware ...

Proven competency and focus on AI platforms and solutions across algorithmic and agentic categories (e.g., AI vendor APIs, open-source tooling such as LlamaIndex, HuggingFace, Claude Code or similar)Ability to turn complex and manifold data into clear insightsTalent to create compelling visualisations that bring data to life Skillset ...