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
Designing knowledge models and ontologies that preserve semantic meaning and relationships
Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re‑ranking
Developing information extraction pipelines for noisy enterprise documents
Managing knowledge quality and evolution (provenance, conflict resolution, schema changes)
Turning research into robust, production grade infrastructure
What We're Looking For
We're especially interested in candidates with experience in one or more of the following areas:
Graph databases and graph based systems (ideally Neo4j or similar)
Information retrieval systems, including search, ranking and semantic retrieval
Enterprise cloud environments, particularly Azure and operating production systems at scaleIn addition, you'll likely have:
A strong background in IR, NLP, knowledge representation, or a related field
Experience shipping real systems, not just prototypes or research code
Careful thinking around how information should be structured to support reasoning
Comfort working from first principles in an early‑stage environment
A high sense of ownership and responsibility for core systems
This Role Is a Good Fit If You…
Care about the architecture of knowledge, not just model performance
Enjoy building systems that genuinely understand context, not just embeddings
Want to influence the technical direction of a core platform
Value intellectual honesty and pragmatic decision making
Prefer foundational infrastructure over surface level AI featuresServices advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website
Salary description
£50000.00 - £80000.00 per year