51 to 57 of 57 Semantic Layer Jobs in England

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing … Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence ...

future of AI-enabled analytics. Key Responsibilities Design and scale enterprise BI capabilities using Looker and Looker Gemini (GenBI) Develop and optimise LookML models, semantic layers and dashboards Build scalable, reusable BI solutions that enable self-service analytics Work with large, complex datasets to deliver meaningful business insights Drive … solutions within enterprise environments Experience working with cloud data platforms Excellent stakeholder management and communication skills Nice to have: Financial Services experience Experience designing semantic layers and enterprise BI models Passion for AI, GenBI and the future of analytics Deadline for applications is Thursday 6th August at 10:00am. ...

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 ...

Drive analytics‐wide innovation, identifying practical opportunities created by AI, modern analytics tooling and evolving platform capabilities. Help define and execute our strategy for semantic layers, self‐service analytics and metric governance. Raise technical standards across the analytics community, improving quality, consistency and scalability. Partner with Product, Data, Engineering … Proven track record of influencing stakeholders at all levels and driving meaningful change without relying on formal authority. You have a strong understanding of semantic layers, metric governance, self‐service analytics and modern BI concepts, with a clear point of view on what good looks like. An active explorer ...

role requires 6-8+ years in AI/ML design, strong Python skills, and experience deploying AI on AWS. You will drive semantic layers, vector databases, and knowledge graphs while aligning with business logic and #J-18808-Ljbffr ...

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 ...

Overview This is more than a traditional governance role. As our Data Governance Lead/Director, you will act as a strategic leader and change agent, embedding a modern data culture across the organisation while ...