3 of 3 Permanent Semantic Search Jobs in Scotland

Generation (RAG) and AI applicationsAgentic AI, AI agents, intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand … Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with ...

evaluation (eval datasets, automated and expert‐in‐the‐loop scoring, regression testing). Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred Experience Prior experience ...

grade edge hardware and highly specialized use cases. Spatial Systems: Build prototypes to translate geospatial data into structured formats optimized for LLM reasoning. Vector Search: Design high-performance data retrieval solutions optimized for distributed spatial and geographic data. Thematic Mapping: Create data pipelines to enrich traditional mapping systems with … real-time semantic context. Demo Development: Produce fully functional solution to demonstrate viability of concepts or new model abilities. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required ...