15 of 15 Permanent Hugging Face Jobs in Central London

AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers). • Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI More ❯

LLM such as GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG More ❯

cost and delivery timelines What we're looking for 4-5 years relevant experience Proficiency in Python or similar programming languages Experience with GenAI tools (LangGraph, CrewAI, OpenAI APIs, Hugging Face) ML fundamentals and LLM expertise (prompt engineering, cost optimization) Cloud platforms (AWS/GCP/Azure) and infrastructure-as-code DevOps tooling (CI/CD, Docker, Kubernetes More ❯

projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the ability to translate technical insights More ❯

Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. 📩 Interested? Apply below or More ❯

Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems that learn More ❯

mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯

developer-facing tools, SDKs, or APIs. Strong communication skills — capable of bridging the gap between engineering, product, and enterprise stakeholders. Bonus: experience working with AI/ML tooling (e.g. Hugging Face, OpenAI, LLMs, vector databases, etc.) Bonus: background in consulting, technical pre-sales, or solutions architecture. 🌍 Why Join Us? Help define the developer experience of tomorrow — where AI More ❯

models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software development workflows, including Git More ❯

in multi-modal data integration and representation learning, ideally applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). Plusses: Experience with high-content screening More ❯

organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯

Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience More ❯

lifecycle tools (like MLflow, Weights & Biases), and cloud deployment . A strong grasp of machine learning algorithms , model development, and evaluation techniques. Experience with frameworks like LangChain , LlamaIndex , or Hugging Face is a big plus. A creative, curious mindset and a passion for solving hard problems with elegant code. Excellent communication skills—you can explain complex ideas clearly More ❯

space. AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have More ❯

companies and top patent filers) to solve critical needs with our product. W e are backed by Tier 1 VCs and Angel Investors, including Index Ventures , co-founders of Hugging Face, CEO of Datadog, and product experts from DeepMind and OpenAI. We are now growing the team to reach our ambitions. We hire the best and reward accordingly. More ❯