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Lead Search and Retrieval Engineer
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Lead Search and Retrieval Engineer – Full time Permanent – Remote in the UK - up to £120,000
I’m working with an interesting, fast-growing business that sits at the intersection of data, knowledge, and decision making. They support consulting and private equity firms by helping them access and surface high-quality insight both from external experts and their own internal knowledge.
What you’ll be doing
- Define and design a scalable, cloud-native search architecture from the ground up
- Evaluate and select the right technologies across keyword, vector, hybrid, and graph-based search
- Design indexing, ranking, and data modelling strategies
- Establish clear frameworks for measuring search relevance and performance
- Design and implement a knowledge graph to model entities and relationships
- Define schema, linking strategies, and enrichment workflows
- Combine graph-based signals with semantic search and ranking models
- Build extraction and enrichment pipelines using modern LLMs
- Architect scalable retrieval and data pipelines in a GCP environment
- Work with analytical platforms such as BigQuery (or similar)
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What they’re looking for
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Your very own career expert that helps elevate your application to the next level.
- Strong experience building and scaling production-grade search or retrieval systems
- Proven ability to design search architectures from scratch
- Experience working with semantic search, embeddings, and vector-based retrieval
- Hands-on experience building pipelines using LLMs (OpenAI, Gemini)
- Strong Python skills
- Experience working in cloud-native environments (ideally GCP)
- Background leading or owning technical initiatives within a team
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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