1 to 25 of 678 Use Case Jobs in the UK

all levels - from heads of business to technical teams - to solution, build, and implement robust AI and automation solutions. The focus is on translating business requirements into engineered use cases and minimum viable products (MVPs), leveraging Microsoft Cloud technologies such as Copilot, Copilot Studio, Power Platform, and Azure AI Foundry. A critical aspect of the role is to … leading structured, value-led conversations that help customers explore and understand automation and AI opportunities, including what it means to be a “Frontier Firm”. Clear Use Case & MVP Definition o Translate customer ambition into well-defined use cases and MVPs that can be handed over to delivery teams with minimal rework, with a focus … Data & AI space. Achieves at least one relevant Microsoft certification per year and actively shares knowledge with the team. Key Responsibilities Ideation Sessions, Requirements Capture and Use Case Definition Facilitate structured workshops to explore automation and AI opportunities. Work with stakeholders to define business needs, capture requirements, and shape them into actionable use cases. Help More ❯

achieve sustainable growth. We work with some of the world's leading organisations, identifying and quantifying opportunities for revenue growth, margin improvement, and operational efficiency through the strategic use of AI and data assets. Our team is at the forefront of developing and evaluating AI use cases, linking them to tangible business outcomes and valuation impacts. … and transformation roadmaps, ensuring they are equipped to navigate the complexities of digital transformation and emerging AI. By leading projects focused on data platform design, AI use case assessment, and data monetisation, we deliver actionable strategies that help organisations thrive in an increasingly data driven world. Our team also supports clients in transaction environments, providing expertise in … planning. Establish and nurture long term client relationships, providing strategic advice and innovative solutions. Project Leadership and Delivery Lead projects focused on data platform design, AI use case assessment, and data monetisation initiatives. Oversee the development of actionable strategies and implementation plans to drive digital transformation. Manage multidisciplinary teams to deliver high impact solutions that align with More ❯

and external sources including Sopra Banking Services, Salesforce, CACI and Experian. Select the Right Tools for Every Challenge: Choose the most suitable Fabric workloads for each use case, from Data Engineering and Spark to Real-Time Analytics, Data Science and Power BI. Define Models and Structures for Insight: Implement data models, Lakehouse structures and orchestration patterns that … you grow your potential. Inclusive Culture: Be part of a friendly, values-led team that genuinely cares about doing the right thing for colleagues and customers. Giving Back: Use two paid volunteering days each year to support causes close to your heart, through our Samuel Fox Foundation. Sustainability Focus: Join a business committed to reducing its carbon footprint … of belonging for every member of our community. About UsWe are a mutual, which means we don’t have shareholders. Instead, we’re owned by our members and use our money to do good, investing in our community, responsible causes, and – well, you. So, we’re always striving to do the right thing for our team, communities and More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

complex projects, and provide advanced analytical insights that drive measurable business outcomes. Key Responsibilities Model Development & Deployment: Design, build, and deploy scalable machine learning and statistical models for use cases such as pricing optimisation, customer behaviour prediction, and risk modelling. Data Exploration & Feature Engineering: Work with structured and unstructured data to uncover patterns and develop robust features for More ❯

complex projects, and provide advanced analytical insights that drive measurable business outcomes. Key Responsibilities Model Development & Deployment: Design, build, and deploy scalable machine learning and statistical models for use cases such as pricing optimisation, customer behaviour prediction, and risk modelling. Data Exploration & Feature Engineering: Work with structured and unstructured data to uncover patterns and develop robust features for More ❯

Marketing Collateral to incisively describe the capabilities and benefits of our solution Requirements & Backlog Management Engage with internal stakeholders, partners, and customers to capture, refine, and prioritize AI use cases Translate complex AI concepts into clear epics, features, and user stories aligned with business value Maintain a transparent and prioritized backlog in JIRA Ensure documentation and acceptance criteria More ❯

POS , ERP , CRM , and loyalty systems . Demonstrated experience with cloud-native architectures (AWS, Azure, GCP), microservices , APIs , DevOps , and data platforms . Familiarity with AI/ML use cases in retail and knowledge of GenAI advancements relevant to customer experience and operations. Strong understanding of agile delivery models , product management practices , and enterprise architecture. Excellent communication and More ❯

products that leverage real-time data processing, data science concepts, and algorithms, ideally with cloud/SaaS data. Ideally, you also experience applying AI/ML to data use cases, particularly in anomaly detection and predictive analytics. Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, drive consensus and lead More ❯

Leadership - Serve as the technical lead for Generative AI and machine learning deployment across the organisation. - Architect, design, and review scalable solutions for ML, AI, and data science use cases. - Develop and oversee the implementation of MLOps and LLMOps strategies, aligning with wider enterprise standards. Collaboration & Delivery - Partner with the Data Science team to prototype, build, and productionise More ❯

and configure Salesforce objects, data models, and automation using Flows, Apex, and Lightning Web Components (LWC) . Leverage Service Cloud and Sales Cloud functionality to support AI-driven use cases. Integrate Einstein AI and Prompt Builder within Salesforce environments. Prompt Engineering Fundamentals Develop clear, context-rich prompts for generative AI models, ensuring accuracy and … relevance. Apply role-based prompting , task specificity , and format constraints . Continuously refine and iterate prompt logic based on output quality and user feedback. Business Process & Use Case Design Translate business needs into actionable GenAI use cases . Collaborate with subject matter experts to define, validate, and prioritize AI-driven solutions. Document prompt logic and … Lightning components and AI features within Salesforce workflows. Ensure all AI implementations adhere to ethical and security guidelines. Integration & Automation Embed generative AI features directly into Salesforce UI and case management flows . Integrate external AI services using APIs and middleware platforms. Contextualize prompts using real-time Salesforce data and user inputs. Collaboration & Communication Partner with solution architects, developers More ❯

manufacturing, logistics, and consumer goods. Contribute to long-term goals such as establishing a Centre of Excellence and embedding AI into planning and forecasting cycles. 2. Use Case Discovery & Prioritization Identify and assess AI use cases with the greatest potential for impact. Balance quick-win projects with strategic initiatives that support long-term transformation. 3. More ❯

manufacturing, logistics, and consumer goods. Contribute to long-term goals such as establishing a Centre of Excellence and embedding AI into planning and forecasting cycles. 2. Use Case Discovery & Prioritization Identify and assess AI use cases with the greatest potential for impact. Balance quick-win projects with strategic initiatives that support long-term transformation. 3. More ❯

requirements by working closely with other development ,verification team members & Business representatives. Document the requirement in JIRA as User stories and provide proper acceptance criteria. Create user stories , use cases and scenarios for the given requirements Work and communicate in a cross-functional Global team comprised of BA, Developers, project managers and support representatives, etc. Testing & confirming if More ❯

environment, in which considered risks taking can occur and innovation thrives Exposure and awareness of modern-day programming languages Demonstrable understanding of PaaS/SaaS/IaaS and use cases and best practices in public cloud Proven awareness of the latest developments in today's public cloud industry (AWS/Azure etc) and related industry benchmark/best More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

integrity of our platform. What You'll be Doing: Deep Product Knowledge: Gain and maintain an extensive understanding of our product suite, including its technical limitations. Use Case Analysis: Assess needs to determine applicable use cases our platform can address. Recommend optimal product configurations and program implementations. Proposal Development: Collaborate with stakeholders to create the … technical feasibility and alignment with client requirements. Client Escalation: Act as an escalation point and offer expert advice to clients on the product's functionalities, limitations, and best use scenarios where this cannot be resolved in-market. Technical Liaison: Act as a bridge between other markets and our product and engineering teams, understanding and translating technical requirements and … solutions to complex problems Highly interpersonal and able to present confidently to regional technical stakeholders Solid analytical and problem-solving skills to understand client problems and identify standard use cases that our product supports, and at the same time satisfy the client's needs Experience delivering consultancy services, presales support and advice to clients Experience resolving complex and More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming More ❯

world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in More ❯

you. What You'll Do: Lead Strategy: Define and own our enterprise-wide AI and automation roadmap aligned with business goals. Drive Impact: Identify and prioritise high-value use cases involving GenAI, LLMs, RPA, and intelligent agents. Deliver Solutions: Oversee the development and deployment of AI/ML models into production systems. Collaborate Cross-Functionally: Partner with product More ❯

city centre Birmingham office with a hybrid workstyle. Role & Responsibilities Working closely with colleagues in IT and other internal teams, notably Finance to build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source More ❯

and document business and system requirements, collaborating with technology and business team partners to drive consensus Define and document end-to-end business process maps, data flow models, use cases and entity relationship diagrams and other relevant project artefacts Work with business and, technology colleagues to verify and validate requirements against solution delivery at each step of the More ❯