1,276 to 1,300 of 2,121 Use Case Jobs in the UK

work with Sales, Product, and Engineering to guide customers from discovery to deployment, translating needs into architecture and evaluating Claude in real-world use cases. You will advise on integration patterns, create tailored technical content, and collaborate with executives and engineers to maximize safety and reliability ...

trial design, modelling, and predictive analytics. The role drives digital twins, external controls, and Bayesian borrowing, while ensuring regulatory alignment and high-impact use cases. Collaboration with Biometry Leadership is essential. #J-18808-Ljbffr ...

assisted security platform. You’ll work directly with the founders and CTO to ship features daily for real customers and challenging use cases. You’ll code mostly in C# on .NET Core, with Terraform and HTMX frontend work, and you’ll help shape architecture, CI/ ...

pipelines and automated deployment workflows. Cisco network environments, ideally including Cisco NDFC. NetBox for network source-of-truth/IPAM/DCIM use cases. ServiceNow or similar ITSM/change-management platforms. Automation templates, playbooks and reusable configuration patterns. Pre- and post-change validation and troubleshooting. Working within ...

expert on leading AI platforms - Claude, Gemini, ChatGPT, Copilot and Harvey - translating what they can do into practical, role-specific use cases. Build and maintain relationships with business services leadership across London, EU and Asia offices to identify adoption priorities and barriers. Track training participation and platform usage ...

centre of excellence for the CRM marketing technology ecosystem, including Salesforce and Adobe Experience Platform, defining the vision, roadmap and prioritisation of use cases. Build and lead a high-performing CRM function while providing enterprise leadership across brands, functions and markets to drive CRM transformation and commercial performance. ...

month fixed term contract. The role The Data Analytics & AI team is designed to be the heart of the business' data use, with business partners and stakeholders across all aspects of the branch. We work closely with these stakeholders to enable to company with good data practise, assist … with reporting, and developing use cases for Data & AI enhancements. The Senior Data Analyst is responsible for collecting, analysing, and interpreting data to provide actionable insights for the distribution team, supporting business decisions and operational improvements. This will be across data analytics and building artificial intelligence use ...

model of build-it and run-it that comes from a deep curiosity about how our products work and how our customers use them. We use this foundation to build comprehensive product knowledge and industry expertise, but we're not dogmatic about it. We operate … industry really fast. And really often. We build our product and tech function with focus on: Understanding Kinsworth, the industry needs and customer use cases Quality is at the heart of everything we do and not just a gate in a process Leading product roadmaps, planning and establishing ...

reliability matter. As part of this team, you will help define how agentic AI systems are designed, built, and operated for Roku TV use cases. This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them … Roku's AI strategy by engineering reusable components, optimizing agent workflows, and ensuring strong real-world performance in production. How will I use AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts ...

across THG PLC Define how data domains (Customer, Commercial, Operations) should be structured, stored and made available for analytics, data science and AI use cases Own the relationship with Ingenuity on platform and data matters — setting requirements, managing dependencies and ensuring PLC needs are reflected in the Ingen … roadmap Evaluate where THG should use Ingen capability versus external tooling, and ensure every technology choice is documented and commercially justified Drive the business towards a single source of truth — reducing data silos, resolving mastering conflicts, and building confidence in our data across the organisation Lead the Engineering ...

leveraging your technical expertise in data and analytics.Data Cloud supports seamless integration with Salesforce Marketing, Sales, and Service Clouds, enabling Customer 360 use cases. This ensures that businesses can unify customer data across all touchpoints, enhancing AI-driven marketing automation, personalised engagement, and predictive customer insights. By powering … process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability ...

team builds common standards, governance, tooling and reusable services that help data producers publish high-quality data and help consumers find, trust and use it without building bespoke infrastructure. About this role We are building a new organization within Aladdin Data: the our Data Office , focused on enabling … governance, quality and accountability across strategic data domains, ensuring that data is trusted, discoverable, reusable and fit for operational, analytical and AI-driven use cases. Core Responsibilities Act as the senior Data Steward for one or more strategic Technology & Operations data domains. Partner with business, product and engineering ...

agent architectures and workflows; embed security into onboarding, design reviews, solution blueprints, threat models, release gates and production readiness; validate controls through testing, abuse-case analysis and red/purple-team exercises. Agent Lifecycle Operations: Own or coordinate secure lifecycle from discovery and registration through build, test, approval, deployment … calls, identities, memory updates, policy decisions, outputs, errors and outcomes; integrate with SIEM, SOAR, EDR/XDR, cloud, identity, data protection, application security and case-management platforms. Detection and Response: Design, tune and operationalize detections for AI-specific threats and control failures; lead or support triage, containment, eradication, recovery ...

foundations that make the platform and its Data Products easier to understand, discover, trust, and consume for both traditional analytics and AI-enabled use cases (for example, strengthening semantic consistency, metadata and lineage, data quality signals, and modern consumption patterns) Job responsibilities Provides technical guidance and direction … ready (e.g., consistent meaning and definitions, strong metadata/lineage and quality signals, and consumption patterns that support both analytics and AI-enabled use cases). Drives decisions influencing product design, data product contracts, distribution approaches, and engineering processes to improve time-to-data, reliability, and consumer experience ...

evaluate and implement AI-powered solutions within business transformation initiatives, with an understanding of responsible AI practices, governance requirements, risk management, and ethical use of AI technologies Education Bachelor's degree in Business, Finance, Economics, Engineering, Technology, Operations Management, or a related discipline, or equivalent professional experience Lean … execute transformation roadmaps that improve operational efficiency, customer outcomes, control effectiveness, and process scalability Manage the full lifecycle of transformation initiatives, including business case development, requirements gathering, solution design, implementation, testing, deployment, and transition to business-as-usual operations Partner with Commercial, Technology, Product, Risk, Compliance, and Control teams ...

Responsibilities: Define business and data requirements for commercial AI analytics and AI tools. Partner with global, regional, and local stakeholders to identify use cases and market data needs. Translate business needs into clear technical requirements and coordinate market input. Drive data quality, ownership, and remediation across international commercial … data domains. Monitor data integrity, lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data ...

Responsibilities: Define business and data requirements for commercial AI analytics and AI tools. Partner with global, regional, and local stakeholders to identify use cases and market data needs. Translate business needs into clear technical requirements and coordinate market input. Drive data quality, ownership, and remediation across international commercial … data domains. Monitor data integrity, lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data ...

support Ensure data pipelines are production-ready, well tested and operationally supportable Develop raw, refined and curated datasets for analytics, reporting and AI use cases Apply data modelling principles to represent business entities, relationships and historical change Work with consumers to shape usable, documented data products aligned with … business needs Implement controls to validate data completeness, accuracy and consistency Use reconciliation approaches to validate production outputs and investigate data breaks Contribute to standards for testing, monitoring and issue resolution Improve testing, monitoring and reconciliation tooling to strengthen platform reliability and delivery Work with engineers, platform teams ...

workshops, interviews and requirements-gathering sessions across Claims, Operations, Product, Technology and Change teams.* Translate business needs into clear epics, features, user stories, use cases, functional and non-functional requirements, acceptance criteria and process documentation.* Work with Product Managers, Product Owner, Engineering Delivery Lead developers, data teams … requirements are understood and delivered as intended.* Create and maintain business analysis artefacts, including business requirements documents, process maps, data models, user journeys, use cases and requirements traceability matrices.* Support the Claims Product Owner with backlog refinement and prioritisation, ensuring items are sufficiently defined and ready for delivery. ...

individual who can bridge the gap between investment professionals and AI-enabled solutions. The role will involve: Identifying and implementing practical AI use cases across investment and operational functions. Working closely with Portfolio Managers and Investment Analysts to enhance research, idea generation and decision-making processes. Helping shape … firm’s broader AI strategy and long-term roadmap. Promoting the responsible, secure and effective use of AI technologies across the organisation. Building, testing and deploying AI-driven tools and workflows. Acting as an internal advisor and educator to support adoption across the business. Our client currently utilises ...

individual who can bridge the gap between investment professionals and AI-enabled solutions. The role will involve: Identifying and implementing practical AI use cases across investment and operational functions. Working closely with Portfolio Managers and Investment Analysts to enhance research, idea generation and decision-making processes. Helping shape … firm’s broader AI strategy and long-term roadmap. Promoting the responsible, secure and effective use of AI technologies across the organisation. Building, testing and deploying AI-driven tools and workflows. Acting as an internal advisor and educator to support adoption across the business. Our client currently utilises ...

articles daily across stakeholder sentiment, topic identification over time, competitive peer‐set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What … works hand in hand with the Product team. The environment is collaborative, pragmatic and delivery‐focused. We move quickly, share ideas openly, and use regular hackathons and experiments to generate practical business value. This is the hands‐on leadership role for that team. Reporting ...

Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding … practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills ...

territory management, sales pipelines, and relationship selling processes.Leverage integrated Microsoft tools including Power Platform and Copilot capabilities.Dynamics 365 Customer Service:Design customer support and case management solutions.Improve service delivery processes, SLA management, knowledge bases, and customer self-service experience.Support customer experience and service transformation initiatives.Dynamics 365 Customer Insights:Design … customer segmentation and audience strategies.Develop customer journey and engagement use cases.Support customer analytics and insight-driven decision making.Collaborate with business teams to leverage customer intelligence for growth and retention initiatives.Business Analysis & Requirements Management:Facilitate workshops with business stakeholders across multiple departments.Elicit, analyze, document, and validate business requirements.Translate business ...

data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform Shape the direction … helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note Just ...