Data Scientist

Opus RS; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Opus Recruitment Solutions Limited is partnering with a global organisation in London to recruit a Data Scientist for AI-powered knowledge discovery, intelligent search, and scientific insight generation.

The role focuses on hands-on work with LLMs, retrieval systems, semantic search, NLP and embeddings, plus building end-to-end AI workflows and production-ready ML pipelines in a hybrid London setting. Candidates should enjoy solving real-world problems and communicating findings to stakeholders.

Qualifications

• Hands-on experience across LLMs, RAG systems and semantic search.
• Experience with NLP, embeddings and LangChain or similar tooling.
• Familiarity with production AI/MLOps and scalable AI products.
• Experience applying AI to knowledge discovery and information retrieval in complex domains.

Skills

LLMs & Generative AI

RAG & Retrieval Systems

Semantic Search & Information Retrieve

NLP & Embeddings

Agentic AI Workflows

Production AI & MLOps

Job description

Are you building LLM, RAG or AI-powered search solutions and looking for your next challenge?

London (Hybrid)

I'm working with a global organisation seeking a Data Scientist to help develop next-generation AI products focused on knowledge discovery, intelligent search, and scientific insight generation.

With a long-standing heritage supporting the Life Science Industry, this organisation is now at the forefront of applying AI-native technologies to transform how professionals discover, evaluate and interact with complex information.

We're looking for someone with hands-on experience across:

• LLMs & Generative AI
• RAG & Retrieval Systems
• Semantic Search & Information Retrieval
• NLP & Embeddings
• Agentic AI Workflows (LangGraph, LangChain etc.)
• Production AI & MLOps

This is an opportunity to work on cutting-edge AI products that combine large-scale data, search and generative AI to solve complex real-world problems.

This role is based in London and offers hybrid working.