51 to 75 of 408 Use Case Jobs in the UK

analytics, data science, or a related field Working knowledge of AI concepts and tools (e.g. machine learning fundamentals, prompt engineering, or applied AI use cases) Experience coaching, mentoring, or teaching apprentices or adult learners Good knowledge of tools such as Excel, SQL, Python, Power BI or similar Understanding ...

essential Role Responsibilities: Design, develop, and maintain scalable data engineering solutions Build and optimise batch and streaming data pipelines to support business-critical use cases Work with large, complex datasets, ensuring high levels of data quality, integrity, and availability Develop and manage data models , schemas, and database structures ...

industries (including Financial Services, Public Sector, and Pharma), delivering programmes that span: Data platform transformation (data lakes, warehouses, pipelines) AI/ML use cases and intelligent automation SaaS implementations and system integrations Cloud-native architectures (Azure, AWS, GCP) This is a hands-on leadership role , ideal for someone ...

Engage with HR Business Partners, Centres of Expertise, and senior HR leadership to capture requirements and translate them into technical outputs. Define KPIs, use cases, and reporting needs that shape SuccessFactors and Power BI deliverables. Provide guidance to stakeholders on dashboard interpretation and metric definitions. Data Quality, Governance ...

opportunities Running workshops, interviews, and discovery sessions to gather insight Documenting functional and non-functional requirements using techniques such as user stories, use cases and process maps Analysing data, workflows and systems to define both the as is and to be state Mapping and modelling business processes, identifying ...

organizations standards and guidelines Ensure the team leverages engineering best practices including continuous integration, automated deployment etc. where applicable Conceptualize and develop relevant use cases for client engagements: proof-of-concepts (POC), proof-of-value (POV), proof-of-technology (POT), and production deployments Define standards and guidelines ...

agentic systems Help clients understand the opportunities, limitations, and practical implications of modern AI architectures Translate emerging AI capabilities into real use cases aligned to business value Client Engagement Operate as a trusted advisor to senior client stakeholders Lead conversations with both technical and non-technical audiences Simplify ...

leading data scientists, ML engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices ...

strong engagement and measurable business value. Act as the primary business interface for CRM: partnering with Partners, Directors and central teams to understand use cases and translate them into prioritised user stories . Lead training, change and adoption programmes , driving consistent usage and best practice across the firm. ...

from complex technical datasets. Apply computer vision and sensor-driven AI including object detection, sensor fusion and advanced analytics for real-world industrial use cases. Lead AI architecture and innovation, shaping strategy, evaluating emerging technologies and guiding production deployment of AI solutions. Requirements for the Senior AI Engineer ...

decision-making as they continue to scale. Description Databricks experience essential Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases. Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and other people-related systems. Ensure data quality ...

client supports organisations in transforming large and complex multi-modal datasets into information-rich geospatial data subscriptions, enabling a wide range of use cases. They focus on delivering high-fidelity data solutions that allow customers to derive insights quickly and effectively. They are a fast-paced, high-performing ...

across a growing squad Translating customer insight, analytics and experimentation into prioritised feature development decisions Leading proposition development across Generative and Agentic AI use cases Shaping and scale AI-powered customer journeys Championing innovation methodologies and fostering curiosity, experimentation and bias for action Managing a product team ...

artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance ...

workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver ...

workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver ...

Inspire innovative thinking across client teams through persuasive narratives and structured insight. AI & Technology-Enabled Transformation Identify, prioritise, and shape AI and data use cases aligned to commercial outcomes. Translate business needs into structured requirements and collaborate closely with product and data science teams. Lead the deployment ...

architecture strategies and implementation roadmaps Design and implement end-to-end AI and machine learning architectures Evaluate and recommend appropriate AI/ML use cases for enterprise-scale deployment Select appropriate cloud technologies and AI platforms based on scalability, performance and integration requirements Deliver AI-enabled applications using ...

vault or lake-house patterns). Evaluate and recommend BI technologies (e.g. Power BI, Tableau, Qlik, in-house charting) on a use-case basis, defining when each is appropriate and when it is not. Technical/Thought Leadership Act as a senior technical SME through the full ...

managed clients to both technical and non-technical audiences and continuously improve their content and presentation. Analyse and improve detection rules and use cases in line with Mitre Att&ck and threat-informed defence. Work as part of a team to ensure that corporate data and technology platform ...

clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Contribute to Practice Development: Actively participate in the development of point of views, thought ...

clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual ...

Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure on GCP and Azure to support data processing, storage, and model deployment. Design RESTful APIs for machine learning ...

Sparx, RSA, Visio or related platforms. Understanding of ETL flows, metadata management and how data is structured for AI, ML, BI and analytics use cases. Comfort operating in client‐facing settings and contributing to delivery outcomes. Principal level: additional experience in leadership, client development or shaping solution direction. ...

. Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care ...