51 to 55 of 55 Hugging Face Jobs in the UK

Developer Advocate

Hiring Organisation
TurinTech AI
Location
England, United Kingdom
experience using and extending Visual Studio Code (extensions, integrations, workflows). Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face). Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms ...

Python Engineer (OCR & NLP Specialist)

Hiring Organisation
Buchan and London Recruitment Ltd
Location
Basildon, Essex, England, United Kingdom
Employment Type
Full-Time
Salary
£60,000 - £90,000 per annum
Skills: • Strong Python (FastAPI, Flask or Django). • Hands-on experience with OCR tools (Tesseract, AWS Textract). • NLP libraries such as spaCy, NLTK, HuggingFace Transformers. • Experience with PDF parsing and text extraction. • Model optimisation and evaluation. • Familiarity with AWS or Azure ML services. ...

Lead Full Stack Developer (TALL Stack) High-Growth SaaS

Hiring Organisation
Robert Half
Location
London, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
LEAD Full Stack Developer - Laravel High-Growth SaaS Hybrid (London) LEAD Full Stack Developer role- Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into ...

Senior NLP Engineer (London)

Hiring Organisation
Glite Tech
Location
London Area, United Kingdom
Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search ...

Senior NLP Engineer (London)

Hiring Organisation
Glite Tech
Location
City of London, London, United Kingdom
Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search ...