276 to 300 of 1,652 Use Case Jobs in England

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 ...

with D365 CRM, with a focus on delivering a joined-up, intuitive user experience. Expert-level requirements elicitation and documentation skills: user stories, use cases, BRDs, FRDs, and data dictionaries written to a standard that development and test teams can act on without further clarification. Strong process modelling ...

Analyst or adjacent role.Core Business Analysis Expertise: Proven ability in requirements elicitation, analysis, documentation (user stories, functional specifications), process mapping, and use case development.Commerce Platform Acumen: Demonstratable experience with leading commerce platforms (e.g., Salesforce Commerce Cloud, commerce tools, SAP Commerce Cloud, Adobe Commerce, Shopify Plus ...

Analyst or adjacent role.Core Business Analysis Expertise: Proven ability in requirements elicitation, analysis, documentation (user stories, functional specifications), process mapping, and use case development.Commerce Platform Acumen: Demonstratable experience with leading commerce platforms (e.g., Salesforce Commerce Cloud, commerce tools, SAP Commerce Cloud, Adobe Commerce, Shopify Plus ...

Analyst or adjacent role.Core Business Analysis Expertise: Proven ability in requirements elicitation, analysis, documentation (user stories, functional specifications), process mapping, and use case development.Commerce Platform Acumen: Demonstratable experience with leading commerce platforms (e.g., Salesforce Commerce Cloud, commerce tools, SAP Commerce Cloud, Adobe Commerce, Shopify Plus ...

role will be responsible for defining and governing the architecture of a large-scale data platform that supports analytics, reporting, and emerging AI use cases. You will work closely with engineering, platform, and insight teams to ensure data is structured, scalable, and fit for purpose across a broad ...

optimise data pipelines and data products within an AWS, Snowflake and DBT environment. Design and enhance data models that support analytical and operational use cases. Deliver scalable, reliable and performant cloud based data solutions. Collaborate with engineers and technical stakeholders to deliver business requirements. Contribute to code reviews ...

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 ...

unit economics. Identify and shape opportunities for edge AI capabilities on the home CPE, enabling local AI inference, real‐time insights and new use cases. Drive ONEConnect’s evolution into an AI‐native platform, embedding AI and agentic capabilities across customer experiences, operational automation and platform intelligence, with ...

unit economics.Identify and shape opportunities for edge AI capabilities on the home CPE, enabling local AI inference, real-time insights and new use cases.Drive ONEConnect’s evolution into an AI-native platform, embedding AI and agentic capabilities across customer experiences, operational automation and platform intelligence, with appropriate privacy ...

embed data standards and governance at the point of data creation.Define scalable conceptual and logical data models that support research, scientific and business use cases.Design and deliver reusable domain data products supporting strategic programmes and AI initiatives.Promote FAIR data principles and modern data foundation practices across Patient Solutions.Collaborate ...

have: Bachelor’s degree in Engineering, or a related technical field. Nice to have: Experience building platforms that serve both B2B and B2B2C use cases. What success looks like Fraud tackling that scales across new products, verticals and rails. Measurable reduction in fraud losses and false positives without ...

pricing, risk, and global market data workflows.Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.Contribute to API design, data modeling, and system architecture ...

according to sensitivity and security requirements. Designing and maintaining critical data delivery systems – encompassing both realtime data, historical data and AI/ML use‐cases. Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements. Capable of finding a balance between best ...

solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible ...

develop opportunities within large customer accounts, complex enterprises to expand Alation’s footprint across data cataloging, governance, data quality, and AI-driven use cases.Lead consultative, multi-threaded sales cycles that often involve C-level stakeholders, technical teams, and AI transformation leaders.Generate new logo pipeline in tier #1 enterprise ...

agent lifecycles; deployment and monitoring; guardrails; and cost optimisation, ensuring AI solutions are production‐ready, auditable, compliant, and scalable across merchant payment use cases. You will also be accountable for the end‐to‐end engineering of GenAI and ML platforms, embedding governance, observability and operational resilience by design ...

databases.Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases.Proficiency in data analysis tools.Strong foundation in statistics, modeling, and large-scale text processing.Why Join Us Join our team and contribute to a culture ...

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases.* Proficiency in data analysis tools.* Strong foundation in statistics, modeling, and large-scale text processing.**Why Join Us?**Join our team and contribute ...

bias, fairness, and risk evaluationGenerative AI & Applied ResearchApply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases.Evaluate and integrate emerging technologies into the team’s roadmap.Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems.Domain & Research IntegrationCollaborate with ...

support secure, responsible and scalable AI deployment.Opportunity Pipeline & Investment Management: Establish and manage the enterprise AI opportunity pipeline from ideation and prioritisation through business case development, investment decisions, implementation and benefits realization, ensuring resources are focused on initiatives with the greatest strategic and commercial impact.Build vs. Buy vs. Partner … Strategy: Determine the most effective solution approach for each AI and automation use case, balancing internal development, commercial solutions and strategic partnerships to optimise speed, scalability, cost and business value.Vendor & Partner Ecosystem Leadership: Develop and manage ERM's external AI ecosystem, identifying and leveraging strategic technology partners ...

part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists … technical documentation where required. Platform Enablement · Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. · Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. · Follow good engineering practices for version control ...

test and implement AI-enabled capabilities within modern data platforms, with depth in at least one of Snowflake, Databricks or Microsoft Fabric. · Support use cases such as natural language querying, AI-assisted analytics, document and data search, data classification, automated insight generation and conversational access to enterprise data. … platform capabilities. · Work with SQL, Python, PySpark, notebooks or platform-native tooling to transform, test and expose data for downstream AI and analytics use cases. · Collaborate with data engineers and architects to ensure AI solutions are built on reliable, secure and well-governed data foundations. · Support implementation ...

secure, responsible and scalable AI deployment. Opportunity Pipeline & Investment Management: Establish and manage the enterprise AI opportunity pipeline from ideation and prioritisation through business case development, investment decisions, implementation and benefits realization, ensuring resources are focused on initiatives with the greatest strategic and commercial impact. Build vs. Buy vs. … Partner Strategy: Determine the most effective solution approach for each AI and automation use case, balancing internal development, commercial solutions and strategic partnerships to optimise speed, scalability, cost and business value. Vendor & Partner Ecosystem Leadership: Develop and manage ERM's external AI ecosystem, identifying and leveraging strategic ...

sponsors such as product owners, CIO, CDO, CAIO and COO teams, risk and compliance functions and delivery teams to shape AI patterns and use cases, build practical roadmaps and deliver controlled solutions that create measurable value.Microsoft platform literacy and Co-sell experience are important. The role requires high … client.Lead the design and delivery of AI-enabled transformation programmes for financial services clients, helping them move from strategy and use case shaping into implementation, adoption and measurable value. The role will connect business needs, AI opportunities, Microsoft platform capabilities, risk controls and change delivery.Build strong working ...