twentyAI
AI Engineer - TWE42957
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer (Contract) focused on a semantic search project, remote in the UK, lasting ~3 months with a pay rate of "X". Key skills include AWS OpenSearch, SageMaker, and experience with hybrid search pipelines.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 9, 2025
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#SageMaker #Lambda (AWS Lambda) #OpenSearch #R #AWS (Amazon Web Services) #AI (Artificial Intelligence) #S3 (Amazon Simple Storage Service)
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.
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.
