1 to 25 of 387 Use Case Jobs in the UK

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 ...

against the client and commercial priorities for the ERP businesses. You will grow and deploy a team of Sector/Topic experts to support case work, asset development and business build initiatives. You will drive the agenda for assets (e.g., IP, products and tools – many GenAI-enabled), with support … from the team, and lead execution of Tier One and asset development projects. You will be responsible for team’s performance across all KPIs (case billability, quality, asset creation, etc.). Additionally, as a Senior Manager – BCG Vantage, you will engage with case teams and clients based ...

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 ...

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 ...

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 ...

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 ...

data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

including large language model infrastructure, agentic frameworks and data standards such as Model Context Protocol, with the ability to translate capabilities into product use cases and business value Ability to build and sustain senior relationships with product and engineering leaders across hyperscalers and AI platform providers, influencing joint ...

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 ...