76 to 100 of 521 Use Case Jobs in the UK excluding London

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 ...

appreciation of how the product under test integrates with the overall solution.Defines Test Entry Requirements.Able to come up with different use case scenarios for a feature.Able to design and execute non-functional test cases.Able to use a range of technologies for testing.Able to identify simple … employment visa for this position.International relocation or remote work arrangements outside of the hiring country will not be considered.Our Talent Acquisition team may use an AI-powered screening tool to support their initial review of your application. The tool analyzes resume content such as qualifications, skills, and experience ...

product under test integrates with the overall solution.* Defines Test Entry Requirements.* Able to come up with different use case scenarios for a feature.* Able to design and execute non-functional test cases.* Able to use a range of technologies for testing.* Able to identify … visa for this position.* International relocation or remote work arrangements outside of the hiring country will not be considered.Our Talent Acquisition team may use an AI-powered screening tool to support their initial review of your application. The tool analyzes resume content such as qualifications, skills, and experience ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case* Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

doing: Building, testing, and maintaining robust data pipelines Designing logical and physical data models Scaling the data platform to meet evolving use cases Analysing data flows and improving processing performance Ensuring data architecture aligns with agreed standards Troubleshooting issues and driving continuous improvement What we're looking ...

teams in adopting Datacore safely and consistently across their development of new data products and services Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publication Defining and promoting controlled engineering practices across Datacore assets, including source control ...

monitoring.Support Product Management with delivery planning, dependency management, and status reporting.•Contribute to the design of new products and enhancements, including defining analytical use cases and success metrics.Additional ResponsibilitiesPerform advanced querying and analysis using SQL Server Management Studio to investigate system behavior, validate fixes, and support new features.Use ...

teams in adopting Datacore safely and consistently across their development of new data products and services Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publicationDefining and promoting controlled engineering practices across Datacore assets, including source control, development ...

teams in adopting Datacore safely and consistently across their development of new data products and services Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publicationDefining and promoting controlled engineering practices across Datacore assets, including source control, development ...

security incidents. Recommend improvements to detection logic, alert quality and monitoring coverage based on operational findings and emerging threats. Develop and maintain security use cases that improve visibility across cloud workloads and services. Contribute to threat hunting activities by identifying indicators of compromise and analysing attacker techniques. Produce ...

discovery workshops with operational stakeholders. Identify and document business, user and operational requirements. Translate operational needs into structured evaluation criteria. Develop realistic operational use cases for technology trials. Refine requirements and evaluation approaches as findings emerge. Trial Design & Delivery Support the planning, mobilisation and delivery of controlled technology ...

applications. Design and manage data architectures across SQL, NoSQL and vector database environments. Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value. Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability. ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...

enablement, customer communications, and knowledge managementDefine and deliver the enterprise data strategy, including governance, integration, and data standardsIdentify and prioritise high-impact AI use cases (e.g. forecasting, customer insight, pricing, inventory optimisation, logistics, sales effectiveness)Establish AI governance frameworks aligned with regulatory, privacy, cybersecurity, and quality requirementsPartner with ...

Tenable, or similar)SOAR platforms and automation of security response workflowsIntegration with monitoring, alerting, and incident response systemsThreat detection, analytics, and use case developmentExperience integrating with enterprise services (Active Directory, identity platforms)Exposure to DevOps/CI-CD practicesExperience working in secure or regulated environmentsSecurity ClearanceThis role ...

technical lead for data science , guiding modelling approach and solution design across multiple initiatives. Working closely with business stakeholders to translate priority use cases into technically sound, production ‐ ready data science solutions . Providing hands ‐ ontechnical leadership across the data science lifecycle, from problem framing and modelling through ...

include and may require you to:Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as for AI and reporting.Design and implement high quality data pipelines and data stores, coordinating efforts with other developers and engineers.Bring innovation ...

include and may require you to:Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as for AI and reporting.Design and implement high quality data pipelines and data stores, coordinating efforts with other developers and engineers.Bring innovation ...

will shape and deliver AI solutions for real‐world business problems, spanning traditional machine learning, rigorous data science and practical Gen AI use cases. You will work with a small, highly capable AI team, collaborating with data engineers, consultants, technical leads and senior client stakeholders to deliver meaningful ...

Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI frameworks. Design scalable data pipelines, integrations, and AI workflows to support enterprise use cases. Provide technical leadership across customer engagements, ensuring high-quality architecture, security, and operational excellence. Mentor engineers through code reviews, architecture guidance, and technical ...

analytical solutions.Supporting Data Analysts and the wider self-service community by providing reliable, well-structured data assets for dashboards, reports and analytical use cases.Security, governance and service transition:Ensuring data engineering development follows secure software development principles, including coding standards, testing, peer review, version control and controlled promotion ...

solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible ...

platform design are clean, harmonised and structured to enable SAP Business AI (e.g. Joule), embedded analytics and future intelligent-enterprise and automation use cases.Integration Across SAP and Non-SAP EcosystemOwn technical coordination of the wider SAP and non-SAP ecosystem, ensuring integration design and delivery is aligned across ...

DoDesign, build, and operate reliable, secure, and observable data pipelines and curated datasets that power enterprise reporting, analytics, and AI/ML use cases.Own engineering quality, performance, and cost optimisation — implementing robust data quality controls, testing frameworks, monitoring, and observability across the platform.Build and maintain production-grade data … data warehouse patterns.Produce feature-ready datasets and optimised data products that enable data scientists, AI engineers, and analytics teams.Lead AI/ML engineering use cases — applying engineering best practice to model pipelines, data preparation, and AI-ready dataset design at scale.Evaluate and adopt emerging data and AI engineering ...