4 of 4 Remote/Hybrid Semantic Layer Jobs in the South West

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. What You'll Bring Strong software engineering … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. What You'll Bring Strong software engineering … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united by our values ...

designing rigorous experiments, evaluating emerging approaches, and producing evidence-based recommendations that support enterprise adoption. Key responsibilities include: Designing and conducting research into retrieval, semantic and agentic approaches for analytical reasoning and decision support. Building benchmarks, evaluation frameworks and experimental methodologies to assess AI solutions objectively. Prototyping and evaluating … ability to interpret and apply research findings. Python development and AI prototyping skills. And any experience of this would be really usefulKnowledge of semantic layers and metrics modelling. Experience of ontologies, knowledge representation, taxonomy development and metadata design. Exposure to knowledge graphs, graph-based reasoning concepts, NL2SQL, Text ...