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Search & AI Retrieval Lead | Building the future of intelligent information discovery
đź“Ť Fully Remote (UK only)
đź’Ľ Salary: Up to ÂŁ120k
A rapidly growing technology-led organisation is looking for a Search & AI Retrieval Lead to define and build the next generation of intelligent discovery systems.
This is a great opportunity for an experienced search and retrieval specialist to take ownership of the architecture, strategy, and evolution of large-scale information discovery capabilities. You’ll work at the intersection of semantic search, knowledge graphs, machine learning, and generative AI, helping shape how users access and navigate complex information.
You’ll be joining a collaborative engineering environment where technical decisions have a direct impact on product capability and customer experience.
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The Role:
- Define and lead the strategy, architecture, and technology roadmap for next-generation search and AI-powered retrieval systems.
- Design and build scalable, cloud-native search solutions, combining keyword, semantic, vector, hybrid, and knowledge graph approaches.
- Develop intelligent retrieval, ranking, and recommendation capabilities using LLMs, structured data, and modern AI techniques.
- Create robust indexing, data modelling, and relevance frameworks to optimise search quality and user experience.
- Provide technical leadership, driving the delivery of scalable, production-ready systems and influencing engineering best practices across teams.
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You’ll ideally bring:
- 5+ years’ experience building and scaling production search or retrieval systems
- Strong experience designing search architectures rather than simply managing existing platforms
- Experience evaluating and selecting search technologies
- Hands-on experience with semantic search, embeddings, and modern retrieval techniques
- Experience building AI/LLM-powered pipelines using leading foundation models
- Strong Python development skills
- Experience working with cloud-native architectures (ideally GCP)
- A track record of leading complex technical initiatives within engineering teams
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