Applied Research Engineer London (Hybrid) We're building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge. Enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. Longer term, we're building core intelligence infrastructure for any information-led industry. This is not a chat interface on top of documents or workflow automation. We're building the intelligence layer underneath. The Role As an Applied Research Engineer, you'll own the core knowledge and retrieval infrastructure that everything else builds on. You'll work at the intersection of knowledge representation, information retrieval, and applied NLP, translating research ideas into production systems that reason over real-world, proprietary data. This is a high-ownership role in a small, deeply technical team. What You'll Work On 1. Designing knowledge models and ontologies that preserve semantic meaning and relationships 2. Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re-ranking 3. Developing information extraction pipeli...
Applied Research Engineer in London