201 to 225 of 2,104 Use Case Jobs in the UK

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 ...

Large Language Models (LLMs)**, including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints* **Hands**‐**on experience building Gen AI applications using modern frameworks** such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic ...

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 ...

Sales AI Strategy Develop and maintain the Revenue Operations AI roadmap aligned to commercial priorities. Identify and prioritize high-value AI use cases across the end-to-end sales process. Build business cases and investment recommendations for AI initiatives. Evaluate emerging AI technologies, copilots, agents, automation platforms … executive sponsors. Drive organizational adoption of new ways of working enabled by AI. Governance & Change Leadership Establish governance frameworks for AI use case prioritization and implementation. Ensure initiatives align with organizational policies, controls, and technology standards. Support enablement and communication programs that accelerate adoption. Create repeatable processes ...

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 ...

with Client Group Directors, Sales Leads, Account Teams, Industry Leaders, AI Specialists, Data Scientists, Architects and Delivery Specialists to help public sector organisations use AI to improve services, productivity, decision-making and citizen outcomes. Acting as a trusted advisor to clients and a senior AI solution leader within … Agentic AI, machine learning, data foundations, AI-enabled service transformation and responsible AI adoption. Advise clients on AI adoption, AI strategy, use case prioritisation, data readiness, governance, operating models and implementation roadmaps. Provide expertise across AI solution design, LLM-enabled solutions, agentic workflows, machine learning, data products ...

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 ...

product strategy and roadmap for AI & Automation, aligned with broader Product team, market and business priorities.· Identify and prioritise high-value AI use cases across the insurance lifecycle, including document and data extraction, underwriting support, claims triage, CRM and pipeline automation, and agent copilots.· Translate ambiguous business problems … First 6 Months**· A clear, prioritised AI & Automation roadmap aligned with business, market and 2030 Vision priorities.· At least one AI use case moved from discovery to live pilot, with adoption, value and commercial metrics in place.· A visible and qualified pipeline of AI opportunities, with priority ...

product strategy and roadmap for AI & Automation, aligned with broader Product team, market and business priorities. Identify and prioritise high-value AI use cases across the insurance lifecycle, including document and data extraction, underwriting support, claims triage, CRM and pipeline automation, and agent copilots. Translate ambiguous business problems … First 6 Months A clear, prioritised AI & Automation roadmap aligned with business, market and 2030 Vision priorities. At least one AI use case moved from discovery to live pilot, with adoption, value and commercial metrics in place. A visible and qualified pipeline of AI opportunities, with priority ...