301 to 325 of 1,862 Use Case Jobs in England

First Product Agenda Own the company's AI product strategy across LLMs, ML, agents, and predictive analytics. Identify the highest-value AI use cases across FSM and CAFM workflows — from intelligent scheduling and dynamic dispatch to predictive maintenance, automated quoting, and engineer copilots. Set principles for responsible, safe ...

pipelines , automated testing and stable deployment processes. Develop analytics libraries and applications in Python , including APIs and microservices , to support global finance use cases. Leverage Docker, Kubernetes and cloud technologies ( GCP preferred ) to ensure models are deployable, observable and performant at scale. Automate and streamline development workflows, reducing ...

Responsible AI principles and security controls throughout the solution lifecycle. Collaborating with technical and business stakeholders to identify and validate high-value AI use cases. Producing demonstrations, technical documentation and recommendations for future AI adoption. Required Skills & Experience Experience developing solutions using the OpenAI Platform and APIs . ...

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 ...

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 ...

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 ...

pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability ...

ServiceNow and Jira for incident and delivery tracking. Hands-on experience with AI-assisted engineering tools (e.g. Claude Code, GitHub Copilot) beyond monitoring use cases. Experience operating across multi-sector or multi-product portfolios. Relevant certifications in observability platforms or cloud providers (AWS, Azure) What ...

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 ...

resilience, and quality. The platform underpins a growing range of business-critical capabilities, including operational intelligence, advanced analytics, and next-generation AI-driven use cases. As we continue to expand its global reach, we are looking for a technical leader who can combine deep engineering expertise with architectural ...

deliver on time and within cost. Identify growth opportunities within the account and pursue them, expanding usage into new teams, workflows and use cases. Increase adoption and revenue, tracking the metrics that show the product is genuinely embedded in the client’s work. Solve problems independently, making decisions ...

capture standards, and playbooks. Coordinate class-by-class rollout activities and track adoption metrics. Support the optimisation opportunities tracker by documenting use case requirements and business case data. KEY RESPONSIBILITIES Current State Documentation & Analysis Review existing process documentation, SOPs, system documentation, and MI artefacts at engagement … trigger, class affected). Assist in populating functional and technical requirements for each opportunity under direction of the Process SME. Gather and validate business case data inputs - baseline metrics, effort estimates, and benefit quantification inputs. Programme Governance Attend weekly Programme Working Group meetings and maintain accurate action logs. Update ...

performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets that support reporting, visualization, advanced analytics, and AI/ML use cases Enable self‐service data access and governed consumption by building clear data contracts, documentation, and quality controls Contribute to integrated data foundations that … from source to insight AI/ML Engineering Enablement Build data pipelines and feature‐ready datasets that support machine learning, AI, and GenAI use cases Collaborate with data scientists and AI engineers to productionize models, automate data refreshes, and improve repeatability Apply engineering practices for monitoring, testing, versioning ...

Centrica's Single Customer View and Property View, enabling trusted, governed and accessible data for analytics, operational processes, customer engagement, AI and digital use cases across the business. Key Accountabilities Design, develop and maintain data pipelines and transformation processes within Centrica's data platform to ensure data … greener, fairer future is powered by individuals like you. Through innovative green products, intelligent energy solutions and developing smarter ways to use and save energy, we’re not just part of the energy transition, we’re leading it. Our commitment goes beyond sustainability. Together we’re bringing ...

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 ...

data and automation‐led solutions. The commercial motion is advisory‐led: you will consult with prospective clients and ecosystem partners on AI strategy, use cases and adoption, then convert that advisory credibility into engineering and delivery engagements — a consult‐to‐sell, land‐and‐expand approach. You will … campaigns that open doors to new clients across the UK and Europe. Deliver AI advisory engagements, such as AI readiness assessments, use‐case discovery workshops and AI adoption roadmaps, as a consult‐to‐sell entry point that converts into larger AI engineering and transformation engagements. Work across ...

delivery of security automation capabilities, being responsible for alert ingestion, enrichment, and automated response workflows that drive efficient, consistent handling of security alerts. Case Management – Own and evolve the security case management platform, ensuring effective support for Security Operations and Security Fusion Centre teams while driving process improvements … automation capabilities. Define and implement automation use cases, reducing manual effort and accelerating response and remediation activities. Own and evolve the security case management platform, ensuring it meets the operational needs of stakeholders. Manage the infrastructure, platforms, and engineering practices that underpin security automation. Champion Infrastructure ...

plan through salary sacrifice. Your role and responsibilities A Product Manager : - Champion a product - led delivery ensuring that all work supports a clear value case, Collaborate with team and broader Stakeholders. They will creating and maintaining the Product Backlog and Roadmap, describing how the value and vision will … technical, content and design solutions. Required technical and professional expertise Previous experience as a Product Manager User stories, acceptance criteria, use case modelling Process mapping and workflow analysis Impact and gap analysis Understanding of APIs, integrations, and system behaviour Strong communication and stakeholder management Analytical and problem ...

plan through salary sacrifice. Your role and responsibilities A Product Manager : - Champion a product - led delivery ensuring that all work supports a clear value case, Collaborate with team and broader Stakeholders. They will creating and maintaining the Product Backlog and Roadmap, describing how the value and vision will … technical, content and design solutions. Required technical and professional expertise Previous experience as a Product Manager User stories, acceptance criteria, use case modelling Process mapping and workflow analysis Impact and gap analysis Understanding of APIs, integrations, and system behaviour Strong communication and stakeholder management Analytical and problem ...

high-scale next generation advertising platform, focusing on making digital advertising campaigns as simple as possible for our customers. Our infrastructure handles diverse use cases, from real-time fee breakdowns for campaign forecasting and bidding to unified billing workflows that synchronize across application databases, Snowflake and NetSuite. … turning them into actionable, well-defined technical roadmaps without constant supervision. Bridge the gap: You enjoy deeply understanding the end-customer use case and translating those requirements into robust technical solutions. Advocate for excellence: You have a passion for mentoring others and are dedicated to maintaining high ...

engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What … build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites ...

engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What … build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites ...

engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What … build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites ...

leadership; regular regional travel is required Demonstrated expertise in applying artificial intelligence to strategic transformation and workflow efficiency, with a commitment to responsible use, risk management, and ethical governance Experience with entity resolution, data quality programmes, lending platforms, Moody’s banking solutions, Salesforce, Power BI, or a relevant … late‐stage conversion activity Apply the Connected Banking Wheel operating model to regional execution and create repeatable playbooks, campaigns, battle cards, use‐case guides, pitch decks, competitor positioning, and demo storylines Enable front‐line sales, specialist sales, and partner teams to articulate differentiated value across data ...