1 to 25 of 287 Permanent Use Case Jobs in London

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 ...

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 ...

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 ...

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 ...

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. ...

across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience ...

Doing Defining and evolving enterprise, domain and solution-level data architecture Designing logical and physical data models for operational, analytical and AI use cases Establishing architecture standards, patterns, principles and governance frameworks Providing technical leadership and architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics ...

platform, data management, and business SMEs. Manage third‐party vendors and system integrators. Ensure alignment across workstreams (MDM platform, integrations, data quality, downstream use cases). Quality & Outcomes Ensure high standards of delivery quality, governance, and documentation. Support UAT, go‐live, and business readiness activities. Drive continuous improvement ...

Fabric, Lakehouse architecture, data pipelines or analytics engineering would be beneficial, especially where data needs to be prepared for reporting, automation or AI use cases. Role Build and ship production features across the platform, working across APIs, services, user interfaces, data integrations and AI-agent workflows. Develop scalable ...

design and developer experience (DX) programs. CORE COMPETENCIES Platform Thinking - able to design scalable, reusable product capabilities that serve multiple business lines and use cases. Technical Acumen - comfortable engaging engineers at a meaningful level on architecture, data modeling, and integration design. Intellectual Curiosity - continuously seeks to deepen understanding ...

Technology AI roadmap. You’ll translate a clear platform vision into a multi‐quarter plan that increases AI ambition through practical, use case‐driven outcomes. Working across technology and business teams you’ll build shared capabilities that make it easier to experiment, deploy, monitor and govern … including monitoring, alerting and runbooks alongside feature completion Embed controls by design for model risk management, data privacy, security and auditability across AI use cases Provide concise updates and reporting for senior stakeholders on progress, risks, decisions needed and value delivered What we’re looking for Bring substantial ...

sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role. Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. Ability … dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms). Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands‐on expertise with sophisticated ...

Chief Client Office (CCO). The successful candidate will ensure alignment with enterprise data standards, and enable effective, compliant, and value-driven use of data to support client-facing functions and decision-making. This role will operate at the intersection of business, data governance, analytics, and technology, partnering … data considerations are embedded in enterprise change initiatives. AI & Innovation Leadership Contribute to the CCO’s AI enablement strategy, including use case identification, and drive adoption of AI capabilities through training, governance, and continuous improvement initiatives. Partner with enterprise data, risk, legal, compliance, and technology teams ...

processes, data integration and pipeline development Advanced SQL/T-SQL skills Experience designing and implementing data models to support reporting and analytical use cases Ability to work closely with both technical and non-technical stakeholders, translating business requirements into data solutions Experience with Python or PySpark, particularly ...