351 to 375 of 436 Use Case Jobs in the UK

Early–Mid January 2026 We are supporting a high-profile enterprise engagement focused on enhancing a corporate lending and pricing platform through the use of Generative AI and Agentic AI . The role will lead the AI architecture, technical direction, and client engagement , working closely with senior stakeholders … architecture for the engagement Design and oversee GenAI and Agentic AI solutions , including multi-agent systems, orchestration, and evaluation frameworks Guide the use of LLMs, ML models, and scenario-modelling techniques to support pricing and decision-making use cases Define cloud-native AI architectures ...

intelligent business outcomes. By combining deep expertise in SAP technologies with advanced AI and GenAI solutions, we deliver actionable insights and AI-powered use cases across key domains like supply chain, procurement, manufacturing, sales, customer, and vendor management. Our approach ensures value creation, cost optimization, and a clean … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business ...

intelligent business outcomes. By combining deep expertise in SAP technologies with advanced AI and GenAI solutions, we deliver actionable insights and AI-powered use cases across key domains like supply chain, procurement, manufacturing, sales, customer, and vendor management. Our approach ensures value creation, cost optimization, and a clean … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business ...

/ML engineer embedded directly in the business problem space Take ambiguous business challenges and refine them into real, provable AI use-cases Prototype solutions quickly, demo them internally, gather feedback and iterate Work with huge volumes of unstructured documents and data across multiple legacy systems Use ...

/ML engineer embedded directly in the business problem space Take ambiguous business challenges and refine them into real, provable AI use-cases Prototype solutions quickly, demo them internally, gather feedback and iterate Work with huge volumes of unstructured documents and data across multiple legacy systems Use ...

customers to define their AI and Data Strategy, aligning technology capabilities with business goals. Identify opportunities for AI adoption and co-create innovative use cases with clients. Articulate the business value of Data and AI through impactful storytelling and demonstrable prototypes. Pre-Sales & Solution Development Collaborate with sales … teams to shape AI-driven solutions for key opportunities. Design and present industry-specific AI use casesthat demonstrate measurable outcomes. Support proposal development, technical scoping, and solution presentations. Collaboration & Delivery Enablement Work closely with the AI Centre of Excellence & Execution(AI CoEE)to design and validate customer-specific ...

customers to define their AI and Data Strategy, aligning technology capabilities with business goals. Identify opportunities for AI adoption and co-create innovative use cases with clients. Articulate the business value of Data and AI through impactful storytelling and demonstrable prototypes. Pre-Sales & Solution Development Collaborate with sales … teams to shape AI-driven solutions for key opportunities. Design and present industry-specific AI use casesthat demonstrate measurable outcomes. Support proposal development, technical scoping, and solution presentations. Collaboration & Delivery Enablement Work closely with the AI Centre of Excellence & Execution(AI CoEE)to design and validate customer-specific ...

areas within the DMT Analysing business processes to identify improvements in data management and analytics Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog Conducting gap analysis to identify limitations in existing data management systems Participating in user acceptance … team in a fast-paced environment Strong attention to detail and ability to manage multiple priorities Experience producing business documentation, including user stories, use cases, and functional requirements Familiarity with Agile and Waterfall project management methodologies Knowledge of metadata management concepts, modelling, tools, and standards is beneficial Benefits ...

areas within the DMT Analysing business processes to identify improvements in data management and analytics Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog Conducting gap analysis to identify limitations in existing data management systems Participating in user acceptance … team in a fast-paced environment Strong attention to detail and ability to manage multiple priorities Experience producing business documentation, including user stories, use cases, and functional requirements Familiarity with Agile and Waterfall project management methodologies Knowledge of metadata management concepts, modelling, tools, and standards is beneficial Benefits ...

areas within the DMT Analysing business processes to identify improvements in data management and analytics Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog Conducting gap analysis to identify limitations in existing data management systems Participating in user acceptance … team in a fast-paced environment Strong attention to detail and ability to manage multiple priorities Experience producing business documentation, including user stories, use cases, and functional requirements Familiarity with Agile and Waterfall project management methodologies Knowledge of metadata management concepts, modelling, tools, and standards is beneficial Benefits ...

include: Working closely with Data Stewards and business stakeholders to understand data needs and usage Supporting the implementation, adoption, and day-to-day use of the firm’s data governance framework Maintaining and curating the data catalogue, including business glossaries, metadata, lineage, and reference data Managing and prioritising … firm’s data management/catalogue tool Identifying opportunities to improve data quality, consistency, and accessibility Producing clear documentation such as user stories, use cases, and functional requirements Supporting testing, training, and onboarding for data governance tools and processes Using Power BI and other reporting tools to support ...

include: Working closely with Data Stewards and business stakeholders to understand data needs and usage Supporting the implementation, adoption, and day-to-day use of the firm’s data governance framework Maintaining and curating the data catalogue, including business glossaries, metadata, lineage, and reference data Managing and prioritising … firm’s data management/catalogue tool Identifying opportunities to improve data quality, consistency, and accessibility Producing clear documentation such as user stories, use cases, and functional requirements Supporting testing, training, and onboarding for data governance tools and processes Using Power BI and other reporting tools to support ...

include: Working closely with Data Stewards and business stakeholders to understand data needs and usage Supporting the implementation, adoption, and day-to-day use of the firm's data governance framework Maintaining and curating the data catalogue, including business glossaries, metadata, lineage, and reference data Managing and prioritising … firm's data management/catalogue tool Identifying opportunities to improve data quality, consistency, and accessibility Producing clear documentation such as user stories, use cases, and functional requirements Supporting testing, training, and onboarding for data governance tools and processes Using Power BI and other reporting tools to support ...

This role will play a key part in developing and maintaining a scalable, reliable data platform that supports analytics, reporting, and advanced data use cases across the business. This is an excellent opportunity for someone with a strong engineering mindset who enjoys improving data reliability, performance, and usability … standardise existing data pipelines to increase reliability, performance, and maintainability. Ensure data is clean, validated, and available for analytics, reporting, and downstream use cases. Orchestration & Workflow Management Develop and maintain data orchestration workflows to manage scheduled and event-driven pipelines. Improve monitoring and alerting around pipeline failures ...

opportunity offers genuine impact and long term progression. Key Responsibilities Design, build, and deploy Generative AI models for enterprise manufacturing and operational intelligence use cases. Develop and maintain end to end machine learning pipelines using modern MLOps frameworks including CI and CD, observability, automated testing, and monitoring. Work … with large scale, multi region data sets including structured and unstructured data. Use tools such as Hugging Face, OpenAI, vector databases, and large language model frameworks to create advanced AI solutions. Optimise models through fine tuning, parameterisation, prompt engineering, and performance testing. Develop solutions across cloud environments including ...

squad, alongside implementing rate-limiting and budget controls. Systematically benchmark, curate, and integrate the most cost-effective and performant models for distinct use cases. Build and maintain scalable, secure infrastructure and data pipelines for custom model fine-tuning requested by product teams. Architect and deploy platform-level safety … pipelines using vector databases (e.g., Pinecone, PGVector). Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, Langgraph, or custom implementation) and defining tool-use patterns. Demonstrated experience designing complex, multi-tenant platform systems, prioritising reliability, security, and separation of concerns. Proven ability to engineer for operational efficiency, with ...

support the delivery of an AI Strategy within the client. The role will be working in an extended team to identify AI use cases across the client and support the assessment of technical feasibility of these use cases. Understanding of AI, ML and GenAI tools, such ...

support the delivery of an AI Strategy within the client. The role will be working in an extended team to identify AI use cases across the client and support the assessment of technical feasibility of these use cases. Understanding of AI, ML and GenAI tools, such ...

support the delivery of an AI Strategy within the client. The role will be working in an extended team to identify AI use cases across the client and support the assessment of technical feasibility of these use cases. Understanding of AI, ML and GenAI tools, such ...

support the delivery of an AI strategy within the client. The role will be working in an extended team to identify AI use cases across the client and support the assessment of the technical feasibility of these use cases. Understanding ...

design aligns with both the application's needs and the end users' requirements. This role involves modeling APIs to address all potential use cases, delivering solutions that are high-quality and easily accessible to API consumers, with a particular emphasis on following Domain-Driven Design (DDD) principles. … discovery Responsible for ALL APIs to be published with supporting documentation to our strategic API discovery tools, including Exchange. Collaboration on QA test case generation to support efficient and timely testing of APIs Ongoing support to Engineering teams to resolving queries during PI lifecycle Work with SAPI/Platform ...

high-impact operational environments. What you’ll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including deployment and monitoring Build and optimise ML pipelines … similar) Hands-on exposure to LLM/GenAI applications, including RAG Nice to have: Experience with advanced LLM techniques (e.g. agents, tool use) Familiarity with vector databases and feature stores Experience with Docker, Kubernetes, or Infrastructure as Code Important: Security clearance required (or eligibility to obtain it). ...

high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including deployment and monitoring Build and optimise ML pipelines … similar) Hands-on exposure to LLM/GenAI applications, including RAG Nice to have: Experience with advanced LLM techniques (e.g. agents, tool use) Familiarity with vector databases and feature stores Experience with Docker, Kubernetes, or Infrastructure as Code Important: Security clearance required (or eligibility to obtain it). ...

high-impact operational environments. What you’ll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including deployment and monitoring Build and optimise ML pipelines … similar) Hands-on exposure to LLM/GenAI applications, including RAG Nice to have: Experience with advanced LLM techniques (e.g. agents, tool use) Familiarity with vector databases and feature stores Experience with Docker, Kubernetes, or Infrastructure as Code Important: Security clearance required (or eligibility to obtain it). ...

standards and principles. Providing assurance to the Head of Cyber Operations and Technical Operations Manager that the SOC is operating efficiently through the use of orchestration and automation. Core Duties Typical duties include (but are not limited to): Identification of process that can be automated to make … suspicious activity within the business. On boarding new data sources to increase the visibility of security event information across multiple technologies. Creating security use cases to enable the wider SOC to respond to a wider array of threats. Identify where automation can assist the Incident Response team when ...