151 to 169 of 169 Semantic Layer Jobs in England

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management : awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … Data Management & Governance for the AI era. Core capabilities AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. ...

base, 2 trips to office per month Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm … orchestration patterns, prompt frameworks and evaluation loopsMulti-agent architectures, including planning, delegation, safety constraints and monitoringRetrieval and vector-based systems, embeddings, structured reasoning and semantic workflowsOntology and knowledge modelling literacy to enable precise reasoning and data alignmentIntegrations and automation via APIs, tools and enterprise systemsPrompt engineering at scale, including ...

operate across the front, middle and back office. Key Responsibilities Design and build advanced AI solutions, including agentic AI, RAG, GraphRAG, knowledge graphs and semantic layers. Explore emerging technologies and rapidly test where they could create business value. Build prototypes and experiments with production scalability, maintainability and integration … software development. Experience building with LLMs, agents, RAG and modern AI frameworks. Strong understanding of knowledge graphs, large-scale graph technologies, GraphQL and semantic modelling. Experience taking experimental technologies beyond prototypes towards scalable production solutions. Good understanding of APIs, cloud platforms and enterprise integration. Some understanding of data engineering ...

governed interfaces, APIs, and data contracts.* Supporting delivery of Enterprise Data Foundation capabilities, including change-data capture, data ingestion, storage, governance, master data management, semantic and serving layers, APIs, and governed access.* Aligning architecture and technology delivery across initiatives including VFM, Pulse, AI, reporting, fleet management, customer modernization … architecture integration, or modernization programs.* Strong understanding of enterprise data architecture, including data ingestion, governance, canonical data models, master data management, APIs, data contracts, semantic layers, and governed data access.* Experience modernizing legacy technology environments while maintaining business continuity and operational stability.* Demonstrated ability to build and manage integrated ...

self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product … experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean ...

Make your mark for patients We are looking for a Clinical Data Layer Lead who is collaborative, strategic, and outcomes-focused to join our Biometrics & Data Science team, based in any of our Brussels (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices. About the role You will … Quality, Digital Technology, enterprise architecture, and external partners. You are going to connect business and technical communities, align priorities, and represent the Clinical Data Layer in governance forums, steering committees, and vendor discussions. What you will do You will define and communicate the long-term vision, roadmap, investment case ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg's experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

client-facing insight depends on engineers being able to find, understand, trust, and use financial datasets at scale. DataHub is Bloomberg’s experience layer for data. What GitHub is for code, DataHub is for data: the place where engineers discover datasets, understand schemas, request access, publish streams, subscribe … only a frontend role, and it is not only a backend infrastructure role. The experience is the full journey: the UI, the APIs, the semantic model, the provisioning flow, the feedback loops, the error states, the defaults, the automation, and the reliability of the systems underneath. The next frontier ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates that have deep experience in one or more core capabilities below and wants … reinventing Data Management & Governance for the AI era. AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies. Data Governance & Strategy : experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models. Data ...

foundations that make AI delivery faster, safer and easier to scale. Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analytics Designing and embedding engineering capabilities … human decision-makers, while supporting technology and platform decisions. Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices. Consulting & Client Leadership: Experience in consulting or client-facing roles, building trusted senior client ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

enabled applications, intelligent workflows and data-driven products Advise clients on the development of modern data ecosystems, including cloud platforms, data products and semantic modelling Oversee the design of AI solutions that integrate effectively with existing technology, operational processes and business teams Establish appropriate frameworks for AI governance, risk … enterprise AI architectures and understanding how AI agents interact with enterprise systems, data, business processes and people Good understanding of modern cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI Strong commercial capability, with experience shaping propositions, developing opportunities and leading client engagements Excellent ...

chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor … stakeholders to accelerate adoption, integrations, and commercial opportunities Requirements A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product ...

commercial environment is required. The key focus will be to design and build advanced AI solutions, including agentic AI, RAG, GraphRAG, knowledge graphs and semantic layers. Core Background: Strong hands-on experience in AI engineering and software development. Experience building with LLMs, agents, RAG and modern AI frameworks. Strong … understanding of knowledge graphs, large-scale graph technologies, GraphQL and semantic modelling. Experience taking experimental technologies beyond prototypes towards scalable production solutions. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective ...

Reply is hiring a specialist to design and build semantic layers that give organisations a shared, machine-readable understanding of their data. You will create ontologies and knowledge graphs across industries, from discovery to production, supporting integration, governance, analytics and AI initiatives. You will apply semantic technologies, connect ...

Reply is seeking a Data and Knowledge Graph Engineer to design and build semantic layers, ontologies and knowledge graphs that connect data, systems, applications and AI solutions. You will own end-to-end technical design from discovery to production, creating robust foundations for integration, governance, analytics and generative AI. … Responsibilities include building scalable semantic models, data ingestion pipelines, and graph queries, while collaborating with stakeholders and advising on #J-18808-Ljbffr ...