AI Engineer - TWE42957

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Lambda (AWS Lambda) #R #S3 (Amazon Simple Storage Service) #SageMaker #AWS (Amazon Web Services) #AI (Artificial Intelligence) #OpenSearch
Role description
AI Engineer (Contract) – Semantic Search Project Location: Remote (must be based in UK) Contract: ~3 months, starting September (handover available before end of month) We’re working with a Private Equity–backed Data business that has evolved a mature legacy environment into a complex data platform delivering structured intelligence, natural language query, and semantic search capabilities. The business is now in Phase 3 of a hybrid/semantic search build and needs an AI Engineer on a contract basis to step in immediately and deliver. This is a hands-on execution role, not R&D, not discovery. What You’ll Do • Deploy embedding models on SageMaker. • Build pipelines with Step Functions, Lambda, S3, EventBridge. • Generate embeddings and push them into OpenSearch. • Implement hybrid queries (semantic + lexical). • Update search endpoints. What You’ll Need • Proven experience productionising semantic/hybrid search pipelines. • Deep knowledge of AWS OpenSearch, SageMaker, embeddings, vector DBs. • Expertise with Step Functions + Lambda. • Ability to hit the ground running and deliver against a defined design. Why This Role? • Immediate impact on a mission-critical AI platform. • Focused on delivery, not experimentation. • Work with a sharp, low-attrition engineering team.