9 of 9 Semantic Search Jobs in the North of England

Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate and optimise LLM and AI Agent performance … enterprise environments Cloud experience across Azure, AWS or GCP Understanding of LLM evaluation and testing Nice to have: Enterprise Knowledge Base/AI Search experience Knowledge Graphs Semantic Search Responsible AI AI Evals Token optimisation/cost management Financial Services experience Deadline for applications is Tuesday ...

Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. … direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns ...

capability without long-term reliance on external suppliers. Key Responsibilities Architectural Leadership & Integration Design and implement enterprise-grade AI platforms - including semantic search, Retrieval-Augmented Generation (RAG), and broader generative AI/agentic capabilities - integrating cleanly with the department's complex Legacy and multi-cloud environments. Responsible … DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns ...

/ELT pipelines using Python and SQL Work with BigQuery, Google Spanner, Neo4j and Vector Databases Design and implement Knowledge Graphs Develop enterprise search, indexing and retrieval capabilities Build data models, metadata and enrichment processes Implement event-driven and real-time data architectures Ensure data quality, governance, lineage … Experience with BigQuery, Spanner and/or similar cloud data platforms Hands-on Neo4j/Knowledge Graph experience Experience with Vector Databases, Search or Indexing Strong understanding of data modelling and governance Experience supporting AI, LLM or RAG use cases Nice to have: Enterprise Knowledge Management/Knowledge Base ...

Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies Preferred Experience Experience designing and implementing Enterprise Knowledge … Bases (EKBs) , AI-powered enterprise search, knowledge management, or intelligent retrieval platforms. Experience delivering AI solutions from prototyping through to production deployment in enterprise environments. ...

role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability ...

requirements into robust, scalable data solutions. Develop conceptual, logical, and physical data models. Design and implement modern AI-ready architectures, including RAG, vector databases, semantic search, and LLM integrations. Build and optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. ...

fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems, microservices, or cloud‐native architectures Our Commitment to Diversity ...

integrating AI services into enterprise platforms. Expertise in evaluating, testing, and optimising LLM and AI Agent performance. Desirable Experience: Knowledge of Knowledge Graphs and Semantic Search. Understanding of Responsible AI principles. Experience with AI Evaluations (Evals) and re-ranking techniques. Familiarity with caching strategies, token optimisation, and cost management. … preferred. Track record of delivering AI solutions from proof of concept to production in enterprise environments. Previous experience in building enterprise knowledge management, search, or retrieval solutions is highly desirable. Team Fit: The team consists entirely of contractors, seeking a proactive, self-driven individual eager to make an immediate ...