176 to 200 of 1,861 Use Case Jobs in England

compelling cases for investment. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making, and client engagement, taking practical use cases from concept to implementation. Mentor and coach engineers, lead code reviews, and raise the technical capability of the wider team. The knowledge, experience ...

across UK teams as a trusted data advisor. – Run discovery sessions and workshops to clarify questions and opportunities. – Translate business needs into data use cases, KPIs, and insight requirements. – Capture business definitions, context, and metric logic in clear documentation. – Convert requirements into technical specs (source-to-target mappings ...

experience as a Technical Analyst, Technical Business Analyst or Systems Analyst. Strong requirements elicitation and documentation skills. Experience producing functional specifications, user stories, use cases and process maps. Strong understanding of system integration concepts, APIs and distributed applications. Experience working closely with software engineering and architecture teams. Good ...

collection process (data ingestion & ETL pipelines) and support initiatives for data integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing ...

operational challenges into actionable insights. Position Summary We seek an innovative and experienced Data Scientist to undertake Machine Learning delivery against signal processing use cases across Metrea, specifically within our internal Decision Science Laboratory and automated Solution Engine. Applicants should be comfortable with deploying operational ML techniques across ...

their business. Translate complex AI/ML concepts into clear, compelling narratives that resonate with non‐technical leaders. Facilitate strategy workshops, use‐case prioritization sessions, and AI roadmapping discussions. Solution Design & Technical Credibility Collaborate with data science, engineering, and architecture teams to design viable, scalable solution approaches. ...

knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution. THE WORK Build Knowledge Graph components that contribute ...

knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution. THE WORK Build Knowledge Graph components that contribute ...

optimising existing tools. Championing the exploration, selection, and implementation of new AI tools to support and enhance the Commercial teams, including evaluating AI use cases and driving adoption across relevant teams. Implementing robust forecasting and reporting systems and ensuring data-driven decision-making. Working collaboratively across departments, including ...

modelling where appropriate Support AI initiatives by ensuring high‐quality, well‐structured data foundations Deliver data solutions that provide value independent of AI use cases Develop dashboards and reporting solutions using Power BI and other analytics platforms Provide real‐time visibility into key performance indicators and operational metrics ...

business performance. Key Responsibilities Define and deliver the Data & AI strategy and roadmap. Identify and implement high-value analytics, automation and AI use cases. Lead Data Science, Analytics and Data Platform teams. Drive data governance, quality, security and responsible AI practices. Partner with senior stakeholders to deliver insight ...

understand strategic objectives, challenges, and opportunities. Facilitate discovery workshops and requirements-gathering sessions. Translate business problems into data science, AI, and analytics use cases. Present solution approaches, prototypes, and recommendations to business and executive stakeholders. Act as a trusted advisor, helping clients prioritise initiatives and define measurable business ...

Azure-based environments. Build and maintain model training, evaluation and monitoring processes. Advise on appropriate AI and machine learning approaches for business use cases. Partner with data, engineering and technology teams to ensure solutions are production-ready and deliver measurable value. Present insights and recommendations to both technical ...

/column-level security). Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases. Required Technical Skills Cloud Platform & Fabric: 3+ years of dedicated hands-on experience in Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem ...

adapting and customising AI models for practical business tasks, with an understanding of how to test outputs and refine model performance for specific use cases. Experience in working in teams with a range of skills and expertise. Prioritising to work to changeable deadlines. Knowledge of Agile/Scrum ...

they represent consistent, trusted views of customers, products, revenue, and usage, and serve as the single analytical truth across reporting, analytics, and ML use cases. Develop, evaluate, and deploy machine learning models relevant to a telecommunications environment, including customer churn prediction, early‐warning indicators, lifetime value forecasting, segmentation ...

cost efficiency within AWS. What You’ll Work On A modern data and machine learning platform supporting both batch and real-time use cases. Tooling and infrastructure for experiment tracking, model deployment, feature management, and monitoring. A Data Lakehouse architecture supporting both analytical and ML workloads. CI/ ...

investing heavily in migrating workloads and services away from legacy infrastructure, as well as building repeatable and resilient data processing pipelines for these use cases. What You'll Do Own the reliability and performance of our data lakehouse as it scales, taking the lead on the operational problems ...

data platforms used for analytics or machine learning. Familiarity with real-time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations from an architecture perspective. Understanding of EU regulatory frameworks, including GDPR, DORA, and operational resilience standards Strong ...

will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory … intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations ...

build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPC Engage in research and development … tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production EDUCATION Bachelor's Degree ...

build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPC Engage in research and development … tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production EDUCATION Bachelor's Degree ...

business requirements into concrete technical solutions that create measurable impact. You're comfortable working across the full AI deployment lifecycle from use case discovery and solution architecture to multimodal agent development, MLOps pipeline implementation, and production optimization. You understand what makes agents perform well in production … using computer vision pipelines on aion's infrastructure Implement sophisticated multi-agent orchestration with(or similar) frameworks like LangChain or LlamaIndex—enabling tool use, memory management, and autonomous task completion Rapidly prototype POCs in 2-4 weeks, coding alongside client teams to validate concepts and iterate based ...

value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use‐case ideation, AI‐readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical … success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client‐facing consulting experience, including pre‐sales support (scoping, estimation, proposals/SOWs, demos, or POCs ...

tooling, and will act as the Group's technical authority on generative AI risk – including data leakage, prompt injection, agentic/tool-use risk and model access control. The role will also support engineering teams in embedding secure practices where AI-assisted development tools are used, and will … risk assessment framework covering data classification, model access, third-party data flows and output integrity, applied consistently to every new AI use case Maintain a central AI tooling register of approved, restricted and prohibited tools, with documented risk ratings and compensating controls Translate assessment findings into technical ...