126 to 150 of 1,860 Use Case Jobs in England

time market data platforms. Support high-performance platforms for tick data storage, market replay, order book reconstruction, quantitative analytics, and future machine learning use cases. 5. Governance, Controls, Vendor & Stakeholder Engagement Champion data quality, lineage, monitoring, entitlement management, ownership, governance, and operational controls across real-time market data ...

make the necessary tradeoff decisions.* Team Leadership - Lead and coach a team owning data presentation, dashboards, platform usability; AI feature productization, use-case definition, and rollout; requirements, backlog, and delivery execution, data structuring. Set clear expectations and ensure ownership across the team is well defined.* Technical Partnership … where caution is required - and ensure each AI feature addresses a genuine client need.* Customer & Market Discovery - Lead discovery into how clients use automotive data, including benchmarking, trend analysis, forecasting, compliance, and decision support, and translate these insights into product direction.* Go-to-Market - Coordinate with sales, marketing ...

technologies and models, prototype new AI capabilities, and run proof-of-concepts Collaborate with business and technology teams to identify high-value use cases Drive innovation through experimentation, knowledge sharing, and continuous learning Help define best practices, technical standards, and reusable patterns for AI development across the organization ...

capture functional, non-functional, and technical requirements. Agile User Stories & Backlog Refinement: Translate business needs into clear user stories, acceptance criteria, and use cases, keeping product backlogs refined and ready for sprint execution. Process & Data Modelling: Analyse as-is versus to-be processes using BPMN and UML, conducting ...

capture functional, non-functional, and technical requirements. Agile User Stories & Backlog Refinement: Translate business needs into clear user stories, acceptance criteria, and use cases, keeping product backlogs refined and ready for sprint execution. Process & Data Modelling: Analyse as-is versus to-be processes using BPMN and UML, conducting ...

first stack; Build and maintain production ML pipelines and services for recommender systems, customer segmentation, marketing optimisation, and other non-GenAI use cases; Develop secure, scalable, and observable APIs and microservices for AI/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor ...

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 ...