301 to 325 of 2,052 Use Case Jobs in England

using product performance measures, user feedback and data to inform future priorities.Lead AI-enabled product opportunities, converting business needs into valuable AI use cases and defining appropriate success measures and evaluation criteria.Ensure effective governance and responsible delivery, including security, data protection, validation, human oversight, risk management and regulated ...

help ensure platform features comply with enterprise policies and Responsible AI standards. Engages with product teams across LSEG to gather requirements, document use cases and support roadmap prioritisation. Helps define and track success metrics for platform adoption, operational performance and developer experience. Assists in coordinating with industry partners ...

operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent ...

operationalising data stewardship roles and responsibilities within federated or centralised data governance models.Desirable:* Experience in AI-related data preparation, data management use case identification, AI governance or Responsible AI frameworks.* Understanding of model lifecycle management, bias detection and explainability.* Familiarity with DMBOK framework.Data management is a broad ...

using product performance measures, user feedback and data to inform future priorities. Lead AI-enabled product opportunities , converting business needs into valuable AI use cases and defining appropriate success measures and evaluation criteria. Ensure effective governance and responsible delivery , including security, data protection, validation, human oversight, risk management ...

Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other* Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars* Leading multi-disciplinary teams to execute complex requirements* Architecting ...

value business opportunities where data and AI transform the way organisations operate and make decisions.Driving senior client conversations to identify high-value AI use cases, clarify business priorities and contribute to practical roadmaps that help clients realise value from data and AIWorking with business stakeholders to define success ...

patterns. * Build and optimise data pipelines across multiple source systems and platforms. * Design and implement data models for analytics, reporting and operational use cases. * Own CI/CD, automation and engineering best practice within the data platform. * Implement data governance, quality controls, monitoring and operational processes. * Mentor engineers ...

version-controlled code and produce clear documentation for tools and processes. Collaborate with senior engineers and compliance teams to validate tools for regulated use cases. Conduct user testing, provide training, gather feedback, and iterate on solutions to improve adoption and usability. Maintain and troubleshoot live tools, ensuring functionality ...

infrastructure to perform analysis at scale, preferably AWS. Works with Tech, Product and other data partners to develop and implement data engineering use cases. Leverages technical skills to source and prepare data from a variety of data sources including traditional databases, SQL, no-SQL, and Cloud. Builds ...

engineering practices (DevOps, SRE, Architecture) and agile ways of working. Hands-on experience with analytics and familiarity with AI concepts and practical use cases. Proven experience leading cross-functional programs and driving delivery. Excellent communication, stakeholder management, and influencing skills; ability to engage senior leaders and technical teams ...

version-controlled code and produce clear documentation for tools and processes. Collaborate with senior engineers and compliance teams to validate tools for regulated use cases. Conduct user testing, provide training, gather feedback, and iterate on solutions to improve adoption and usability. Maintain and troubleshoot live tools, ensuring functionality ...

decisions, real ownership, and models that ship. We own the full stack, and expect you to build it with us to enable your use cases. If you have the curiosity to find the right problem, the grit to build the right solution, and the ambition ...

APIs and services for downstream consumers. Integrate knowledge graphs with AI solutions to deliver grounded, trustworthy insights for analytics and generative AI use cases. Prototype and productionise AI-powered features, including prompt engineering, evaluation, and continuous improvement. Advise customers on semantic architecture, governance, and best practices, contributing reusable ...

APIs and services for downstream consumers. Integrate knowledge graphs with AI solutions to deliver grounded, trustworthy insights for analytics and generative AI use cases. Prototype and productionise AI-powered features, including prompt engineering, evaluation, and continuous improvement. Advise customers on semantic architecture, governance, and best practices, contributing reusable ...

PyTorch). Knowledge about the implementation of basic privacy and authentication techniques in Python. Experience in using Large Language Models in real-world use cases. Experience in working with large datasets. Knowledge of cybersecurity and privacy regulations (e.g. GDPR). Knowledge about software security (security by design). ...

continued development. The platform will provide governed, scalable data foundations for business intelligence, analytics engineering, data science, AI interoperability and relevant enterprise architecture use cases. Business Intelligence and broader Analytics capabilities are managed by separate teams. Key Accountabilities Data Engineering and Analytics Engineering Oversee reliable ingestion, transformation, orchestration ...

test ideas and de‐risk delivery. Explore emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity and client engagement, delivering practical use cases. Take part in code reviews and knowledge‐sharing to support the technical capability of the team. The knowledge, experience and qualifications you need ...

Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case. Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Having ...

usability of information assets. Can support the identification, structuring and governance of information and data assets for analytics, automation, digital twins and AI use cases. Can monitor Information Management progress, compliance, risks, issues and benefits, and prepare clear reports and recommendations for project stakeholders. Can work collaboratively with ...

Product Engineering & Delivery: Lead the architecture, design and delivery of production-grade analytics products (e.g., pricing and risk) – across real-time and batch use cases. Set and enforce engineering best practices across code quality, testing, and observability. Own delivery of complex, high-impact programmes, ensuring alignment across teams. ...

Insights strategy, roadmap and prioritised backlog, aligning investment and delivery with Product, Commercial, Operations and customer outcomes. Lead the discovery and qualification of use cases, clearly defining users, decisions, value hypotheses, success measures and minimum viable products before delivery begins. Own the adoption and full lifecycle of data … opportunities to further develop: Data product portfolio leadership, including roadmap prioritisation, adoption and lifecycle management. AI and ML product governance, from use‐case qualification through to measurable production performance. Multi‐disciplinary technical leadership across Data Engineering, Data Science and ML/AI Engineering. Cloud data platform knowledge ...

streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property … types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property … types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

constant? That's exactly what you'll help our clients do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed … technical audiences. Design and implement robust data models and ETL/ELT patterns that support enterprise reporting, analytics, machine learning and AI use cases. Optimise assigned pipelines and Snowflake workloads for performance, reliability, scalability and cost, escalating engineering risks and implementing agreed mitigations. Embed security, role-based access ...