76 to 84 of 84 Semantic Layer Jobs in England

regulatory reporting, and ML pipelines Integrate data from diverse internal and external sources, including cloud services, APIs, and third-party systems Define and maintain semantic layers using tools such as DBT and Delta Live Tables, ensuring consistency across dashboards and analytics tools Enable data products that support … fraud, policy, and quote data High proficiency in SQL and cloud-native tools such as Databricks, Snowflake, and AWS environments Hands-on experience delivering semantic layers using DBT and building analytics-friendly data structures Experience working with streaming and batch pipelines and exposure to the tools that support them ...

regulatory reporting, and ML pipelines Integrate data from diverse internal and external sources, including cloud services, APIs, and third-party systems Define and maintain semantic layers using tools such as DBT and Delta Live Tables, ensuring consistency across dashboards and analytics tools Enable data products that support … fraud, policy, and quote data High proficiency in SQL and cloud-native tools such as Databricks, Snowflake, and AWS environments Hands-on experience delivering semantic layers using DBT and building analytics-friendly data structures Experience working with streaming and batch pipelines and exposure to the tools that support them ...

orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows) Apply ontology and knowledge-modelling concepts for more precise reasoning Integrate APIs, tools, and enterprise systems Set the technical direction for your delivery … ability to ship production-grade code Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.) Literacy in semantic modelling or ontology-driven thinking Comfortable in client-facing, delivery-focused environments You’re Likely Someone Who Is: AI-native and deeply hands ...

orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows) Apply ontology and knowledge-modelling concepts for more precise reasoning Integrate APIs, tools, and enterprise systems Set the technical direction for your delivery … ability to ship production-grade code Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.) Literacy in semantic modelling or ontology-driven thinking Comfortable in client-facing, delivery-focused environments You’re Likely Someone Who Is: AI-native and deeply hands ...

deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design … patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy , enabling more precise reasoning and data alignment. Integrations & automation , including API workflows, tools, and enterprise connectors. Skills ...

Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design … patterns, prompt frameworks, and evaluation loops. Multi-agent architectures, including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment. Integrations & automation, including API workflows, tools, and enterprise connectors. Skills ...

advance scalable LiDAR- and vision-based mapping pipelines. • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. • Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. • Define KPIs and validation frameworks for map accuracy, completeness, and consistency. • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. • Set best practices and technical standards to support future team growth. Experience required • MSc/ ...

advance scalable LiDAR- and vision-based mapping pipelines. • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. • Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. • Define KPIs and validation frameworks for map accuracy, completeness, and consistency. • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. • Set best practices and technical standards to support future team growth. Experience required • MSc/ ...

advance scalable LiDAR- and vision-based mapping pipelines. * Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models. * Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs. * Deliver large-scale capabilities like multi-session mapping … ensure stable, drift-free deployment performance. * Define KPIs and validation frameworks for map accuracy, completeness, and consistency. * Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems. * Set best practices and technical standards to support future team growth. Experience required * MSc/ ...