1 to 25 of 490 Use Case Jobs in the UK

deliver AI training for advisory and operations teams across all levels (associates, managers, directors/leadership) Develop playbooks, learning pathways, and use‐case guides Shape a culture of responsible experimentation and everyday AI use Partner with the Academy to embed AI capability into formal learning … tool roadmap in partnership with IT Prioritise high‐impact use cases and guide pilots and scale implementation of use case adoption with new and existing AI tools Gather requirements from teams, translate into IT specifications Ensure tools meet standards for safety, privacy, and responsible use ...

Tech colleagues and suppliers to ensure timely, well‐governed delivery.Ensure benefits, costs and risks are documented and visible within the AI use‐case portfolio. Governance, Risk & Value Tracking Ensure AI initiatives follow agreed governance and acceptable‐use frameworks, escalating appropriately based on risk. Support … Board through accurate use‐case documentation, benefits tracking and early visibility of issues. Help embed consistent benefits tracking so AI value is measurable, not anecdotal. Support the demand‐shaping and scoping of material back‐office automation initiatives — those that go beyond the Microsoft suite, require architectural input ...

dss+. You will combine strategic thinking with hands‐on delivery: shaping and delivering on our AI roadmap, managing multiple waves of use‐case development, and bringing practical solutions to life for consultants, operations, and support teams. Key responsibilities include: Leading the end‐to‐end AI use … case identification and implementation process – from ideation and prioritisation to deployment and adoption. Acting as a product owner and delivery lead for AI conversation agents and other automation initiatives, ensuring they deliver clear operational and financial outcomes. Partnering with consulting practices, functional leaders, and technical teams to map workflows ...

industry leaders — helping them understand what AI can and cannot do, and what good looks like. Shape AI programmes, including use case prioritisation, adoption strategies, governance frameworks, ethical risk considerations and operating model implications. Lead multidisciplinary teams through AI-enabled transformation, setting direction, maintaining quality and owning … technical audiences. Credibility in Defence, national security, government or similarly complex, high-stakes environments. Experience shaping AI strategies, including use case identification, prioritisation frameworks, governance design and adoption planning. A practical understanding of the risks, limitations and organisational challenges of AI adoption — not just the opportunities. Strong ...

integrations into commercially activated go‐to‐market narratives Drive structured cross‐functional collaboration without formal authority Key Responsibilities Own technical and use case development for 2–5 co‐owned ISV accounts (shared ARR) and 1–2 fully owned accounts (full ARR ownership) Act as the bridge between … architecture, APIs, integrations, and asset intelligence platforms ISV partnership experience in strategic alliances, technology partnerships, or ecosystem development within SaaS Strong use case development skills, translating integrations into joint value propositions Commercial acumen including ARR ownership, shared revenue models, and partner go‐to‐market mechanics Sector knowledge ...

deliver Configure data sources, permissions, and agent behaviour within the M365 environment Work alongside senior AI builders, taking ownership of internal use case delivery Contribute to continuous improvement of internal AI tooling and processes What This Role Is (and Isn't) This role is: A hands … within M365 Ability to configure agents, workflows, and data connections Understanding of what AI tools can and cannot realistically achieve Example Use Case You might be tasked with: Automating the creation of a monthly board pack (PowerPoint) Integrating multiple data sources into a structured format Building ...

within esure’s industry-leading data platform Develop and optimise data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases Collaborate with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications Integrate and transform data from multiple ...

hands-on engineering mindset Comfortable working within a developing and evolving environment Ability to bridge the gap between data engineering and emerging AI use cases Proactive, collaborative and delivery-focused approach Strong communication and stakeholder management skills Desirable Experience contributing to data lake builds or modern data platforms ...

Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What ...

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business.Do you love shaping the technical landscape and driving innovation across … testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case deliveryBuild and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partnersRepresent Capital One in external ...

Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital ...

datasets following existing ingestion patterns/standards. Delivered an initial end‐to‐end MLOps path for at least one production ML use case, from model handoff through deployment, monitoring and rollback. Established baseline operational standards including model versioning, environment management, deployment patterns and handover processes between Data … translate experimental work into production‐ready systems. Work with Data Engineering teams to ensure data pipelines, governance and quality controls support ML use cases effectively. Support and mentor junior engineers, raising the bar on MLOps practices and operational excellence across the team. Communicate clearly with non‐technical stakeholders ...

problem solver with a hands-on engineering mindset Comfortable working in a fast-paced, evolving environment Ability to bridge data engineering and AI use cases Proactive, collaborative, and delivery-focused Additional Information This organisation is part of the Disability Confident scheme and Armed Forces Covenant. Candidates eligible ...

design and execute ambitious business strategies and goals Create Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, process flows, and use cases. Analyse existing business processes and identify opportunities for improvement and automation. Collaborate with development and quality assurance teams throughout the software development lifecycle (SDLC ...

design and execute ambitious business strategies and goals Create Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, process flows, and use cases. Analyse existing business processes and identify opportunities for improvement and automation. Collaborate with development and quality assurance teams throughout the software development lifecycle (SDLC ...

monitored. Support cloud and hybrid environments including Azure, AWS, and on-premises infrastructure. Create dashboards, reports, and analytics to support operational and security use cases. Document solutions, operational procedures, and technical designs. Participate in change management, testing, and production deployments. Provide technical guidance and knowledge transfer to operational ...

roadmaps, align on requirements, and deliver data-driven transformations. Establish reusable, modular data science and machine learning capabilities and patterns scalable across multiple use cases. Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners. Communicate clearly with ...

roadmaps, align on requirements, and deliver data-driven transformations. Establish reusable, modular data science and machine learning capabilities and patterns scalable across multiple use cases. Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners. Communicate clearly with ...

ready datasets Supporting MLflow-based tracking and lineage Experience with embedding/retrieval pipelines and vector data workflows Ability to support AI use cases through robust data foundations Collaboration You'll work closely with engineers, data scientists, and client stakeholders, operating within fast-moving delivery environments and balancing ...

roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata and data quality ...

accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners to define requirements and manage product dependencies. Provide transparency and visibility into bottlenecks and progress in making AI-ready data available for innovation, Collaborate ...

working closely with public sector clients and project teams to develop and implement data engineering pipelines that support data science and business intelligence use cases. Key Responsibilities Assessing clients' technical needs and managing stakeholder relationships appropriately. Identifying, designing, and implementing ETL/ELT pipelines across on-premise, cloud ...

reports, and performance metrics to monitor process health and outcomes. Support finance data quality initiatives, including validation, reconciliation, standardisation, and master data improvements. Use analytics and data visualisation to communicate insights clearly to Finance leadership. Define and track KPIs to measure automation benefits, including cycle‐time reduction, error … process automations are implemented. Develop user guides, standard operating procedures, and best‐practice documentation. Drive adoption through workshops, demonstrations, and practical use‐case education ultimately leading to a successful go‐live. Act as a change champion, supporting teams transitioning from manual to digitally enabled processes. Gather user ...

remove blockers throughout the data supply chain. You produce demos and MVPs for analysis and to test out possible solutions that you can use to demonstrate ideas or gaps. You take an iterative approach to solving complex problems and seek feedback to quickly arrive at the best result. … data architecture. This includes working with the Data Architect to understand team needs, use cases, and constraints for the use case data ecosystems. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. ...

design and delivery Manage and prioritise product backlogs, balancing innovation, technical constraints, and business value Engage with stakeholders to identify high-value AI use cases and validate product opportunities Oversee AI product performance, monitoring, and continuous improvement post-deployment Ensure alignment with regulatory, risk, and governance frameworks within ...