13 of 13 Hugging Face Jobs in the UK excluding London

is required. Demonstrated ability in cybersecurity with a focus on artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, Hugging Face, TensorFlow, etc.). Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across More ❯

architectures such as Transformers, Graph Neural Networks, Adversarial Networks, and Recurrent Networks. Hands-on experience with modern AI frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face). Expert proficiency in programming languages including Python, CUDA, and C++. Strong understanding of data pipelines, data engineering, and infrastructure resilience. Exceptional More ❯

models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud More ❯

to enhance AI retrieval capabilities. Cloud AI & ML Platforms: Experience with cloud-based AI tools and services (e.g., AWS Bedrock, Microsoft Azure AI, Databricks, Hugging Face). Data-Driven Product Thinking: Strong background in data-driven product development, leveraging experimentation, analytics, and AI performance evaluation. Cross-Functional Leadership More ❯

practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and More ❯

Master’s degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred. Expertise in Generative AI and large models (e.g., Hugging Face, OpenAI APIs). Experience with MLOps and LLMOps for scalable model deployment. Proficiency in Python and cloud-based data platforms (e.g., Databricks More ❯

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 More ❯

and Quick Learning: Eager to dive into the technicalities of ML and develop your unique perspective.✏️ ML Knowledge: Familiarity with tools like scikit-learn, HuggingFace, or fastai, and a solid understanding of different ML models. AI Knowledge: Language or Vision Model exp. e.g. Computer Vision/Image Gen AI/ More ❯

Flask/Django) Database: PostgreSQL, MongoDB, Redis Cloud/Infra: AWS, GCP, Docker, GitHub Actions, CI/CD AI/NLP: OpenAI API, LangChain, Hugging Face, Elasticsearch, Pinecone Others: REST, GraphQL, Figma (for design handoff), Vector DBs, Celery, Kafka No need to build AI from scratch — we'll … leverage third-party APIs like OpenAI and Hugging Face. The goal is to build a scalable, intelligent product that can evolve over time. What's In It for You? Equity in a promising, scalable tech start-up True ownership — make key tech decisions and shape the product Flexible entry More ❯

technologies, including: Statistics and visualistion Python Excel Power BI Machine learning Python Sklearn NLTK Tesnorflow & Keras Cloud services AWS Azure GCP Foundation models OpenAI Hugging Face Development environments Google Colab Anaconda Alternative environments available. This role is designed for individuals who are passionate about AI automation and process More ❯

analysis applications. WHAT ARE WE LOOKING FOR? Strong programming skills in Python, with experience in AI/ML libraries such as PyTorch, Langchain, and Hugging Face. Hands-on experience with LLMs, retrieval-augmented generation (RAG), and transformer-based architectures such as GPT, BERT, or T5. Experience training and fine … cup coffee machine and more Regular team building and reward events INTERVIEW PROCESS Screening Call with our Talent Manager Short Technical test (role specific) Face to face interview with line manager and senior management We'd love to meet you in person for an interview, but are happy More ❯

train thousands of models every week and deliver those models to millions of customers. You will use the latest open source technologies like PyTorch, HuggingFace, K8s as well as the latest Apple Silicon and Apple hardware to deliver the best experience for our customers. Additional Requirements: #J-18808-Ljbffr More ❯

somewhere to go. We're a well-funded, Series A startup backed by top-tier tech investors from a16z, Felicis, Menlo, TMV, SV Angel, Huggingface, ElevenLabs, Replit, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others. We're building a powerful team by empowering our engineers with the autonomy, flexibility More ❯