Guildford, Surrey, United Kingdom Hybrid / WFH Options
NLP PEOPLE
Practical experience with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain). Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and More ❯
GCP). Bonus qualifications Experience with graph databases such as Neo4j, Pinecone or Milvus or similar. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. What you'll be doing Work with a groundbreaking AI platform solving real enterprise pain More ❯
stack and reporting tools. Core Responsibilities Develop, fine-tune, and deploy transformer-based NLP models (LLMs, BERT, RoBERTa, GPT-family). Design and implement scalable data pipelines using Python, spaCy, Pandas, and Hugging Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes More ❯
