151 to 175 of 2,105 Use Case Jobs in the UK

leverage their knowledge ofAIto drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiativesacross global analytics teams, providing guidance and direction to engineers, contractors, and vendors ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

state data architectures. Knowledge of data governance principles, data quality frameworks, and information management best practices. Experience enabling analytics, reporting, and AI-driven use cases through effective data architecture and platform design. Practical experience working with cloud-based data platforms and services, including Azure and/or AWS. ...

quality, integrity and security across platforms and environments Collaborate closely with Data Scientists, Analysts and Engineering teams to enable advanced analytics and AI use cases Implement cloud best practices for performance, scalability and reliability Support the integration of AI‐drive MRO solutions into operational workflows Establish standards, frameworks ...

training and knowledge transfer sessions. Experience working within Azure, AWS, or GCP cloud environments . Experience with threat intelligence integration, detection use case development, and security monitoring strategy. Qualifications Degree in Cyber Security, Information Security, Computer Science, or equivalent practical experience. Relevant security operations, incident response ...

leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors ...

Domain experts, Business Scientists, AI Architects & Engineers, AI R&D, and AI Compliance & Governance Experts. With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track ...

Ensure all data products, models, and insights are production-grade, governed, monitored, and measured for business value. Drive high-value data and AI use cases across customer experience, product performance, monetisation, network optimisation, and operational efficiency. Ensure data capabilities support the needs of global customers operating across multiple ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

Production practices, including source control, deployment pipelines, release management, testing, documentation and operational handover. Provide architectural input for AI, Copilot and advanced analytics use cases that depend on governed and trusted council data. Produce clear architecture diagrams, decision records, standards, roadmaps, options papers and recommendations for technical ...

uncover insights across the retail sales funnel. Collaborate with cross-functional teams including sales, retail operations, marketing, and product to define high-impact use cases and support data-driven decision-making. Analyze retail performance metrics, including store-level sales, conversion rates, inventory turnover, and customer segmentation. Identify ...

Build trusted relationships with clients, understanding their challenges and identifying opportunities to apply AI effectively. Discovery & Strategy: Lead discovery sessions to define AI use cases, strategies, roadmaps and priorities. Solution Delivery: Translate business needs into clear solution designs and work with technical teams to deliver effective AI-enabled ...

Build trusted relationships with clients, understanding their challenges and identifying opportunities to apply AI effectively. Discovery & Strategy: Lead discovery sessions to define AI use cases, strategies, roadmaps and priorities. Solution Delivery: Translate business needs into clear solution designs and work with technical teams to deliver effective AI-enabled ...

spanning RAG, grounding, prompt engineering, and orchestration on a GCP‐first stack. Building and maintaining production ML pipelines and services for non‐GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches). Developing APIs and microservices ...

opportunities Conducts market research, competitive analysis, and customer discovery to identify market needs, trends, and opportunities Develops detailed product requirements documents (PRDs) and use cases that guide engineering and design teams Collaborates with engineering, design, data science, and marketing teams to ensure successful product development and launch Establishes ...

executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritise, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organisation. ...

executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritize, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organization. ...

content structures optimised for generative engine discovery and LLM retrieval. Model fine‐tuning: experience customising and fine‐tuning existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints. AI cost‐value analysis, observability, governance, testing and evaluation frameworks ...

Provide architectural leadership, driving solution implementations through to successful delivery. Good knowledge of different type of data storage technologies, with appreciation of what use cases fit best to each technology. Experience: Proven experience of understanding, and transforming discrete service domain data models into a cohesive multi-service model. ...

delivery and reduce risk. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making and client engagement, guiding practical use cases from concept to a well-architected implementation. Ensure architecture reflects the regulatory and compliance context of asset management (for example, data privacy, client ...

models and APIs into existing and new back-end applications. Work alongside technical, business and AI teams to identify and develop practical AI use cases. Prototype and evaluate new AI-enabled functionality before progressing solutions towards production. Design and develop APIs, microservices and data integrations to support application ...

stakeholders. Experience creating or developing technical learning content and training programmes. Ability to simplify complex technical concepts and connect them to practical business use cases. Strong stakeholder management skills. A self-starter who can take ownership of projects and manage multiple priorities. Commercial experience within Data, Analytics ...

client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure — with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review ...

Collaborate with technical teams to integrate predictive models into audit processes. Audit Integration & Enablement Work alongside audit teams to identify engagement-specific AI use cases. Document benefits, challenges, and lessons learned for each engagement. Ensure compliance with security, regulatory, and audit quality standards. Stakeholder Engagement Partner with audit ...