1 to 25 of 229 Remote/Hybrid Use Case Jobs in the UK excluding London

systems are robust and scalable. Provide oversight and quality assurance across concurrent projects, flagging technical and delivery risks early. Lead use case discovery and support pre-sales work alongside the commercial team. Drive reuse of shared frameworks and standards across projects, and communicate technical risk clearly … work, it's built to keep you in it. Direct line to the Director of AI Delivery and real input into use case shaping and pre-sales, not just delivery execution. Permanent role, real team, real influence over how Oxfida's engineering function grows from here. ...

Building solutions using Power Automate, Power Apps, UiPath, Python or VBA. Mapping current and future-state processes with business users. Supporting AI-enabled use cases such as document processing, extraction, classification or triage. Job Info Job Identification 115210 Job Category - Degree Level Bachelor's Degree Job Schedule Full ...

Building solutions using Power Automate, Power Apps, UiPath, Python or VBA. Mapping current and future‐state processes with business users. Supporting AI‐enabled use cases such as document processing, extraction, classification or triage. Job Info Job Identification 115210 Job Category - Posting Date 06/30/ ...

Reporting to the Data Platform Manager, the Data Engineer will ingest data from a range of sources and transform it for downstream use, contributing to data modelling, analysis, and the broader development of the data platform such that the enterprise is provided with a trusted and reliable data … data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python) Develop data sets which are optimised for their given use case, e.g. self-service analytics Migrate data from legacy reporting solutions onto the Azure Data Platform, ensuring that data integrity and service levels are maintained ...

Data Scientist Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value Take ownership of varied analytical projects and build your career within an established and growing Data Science team Hybrid 80% homeworking ...

policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/ ...

Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced analytical use cases LLMs and Agentic AI BI tools such as Tableau/Power BI Other desirable skills and experience Strong stakeholder management Building projects ...

kickoff and onboarding through to measurable scientific outcomes, with an adoption plan for each team and use case. Run use case workshops that turn research problems (target identification, safety assessment, competitive intelligence, literature synthesis) into prioritised use cases. Grow active and chargeable users ...

with stakeholders to understand business challenges and translate them into scalable data products. Develop and improve AI-powered solutions, including LLM and automation use cases. Drive best practices in model development, testing, monitoring and governance. Mentor colleagues and contribute to the wider technical direction of the team. About ...

/SOSL and platform automation . Experience delivering Data Cloud, Customer Data Platform (CDP) and Master Data Management (MDM) solutions, including Customer 360 use cases. Strong experience integrating Salesforce with enterprise systems using APIs, event-driven architectures and data integration technologies . Good understanding of SQL, data modelling ...

unstructured data in AWS cloud environments Collaborate with AI/ML teams to enable data platforms for Generative AI and advanced analytics use cases Ensure compliance with data quality, governance, and monitoring best practices across all integrations Enable data lakehouse architectures that support scalability, resilience, and flexible analytics ...

heart of our platform - this role requires someone who can deeply leverage the Databricks to enable scalable analytics, data science, and AI use cases across the business. As part of this you'll: Define and enforce data engineering standards, patterns, and best practices across the organisation. Architect ...

will involve**Building Data Applications** Developing modular and maintainable software components that process, transform and expose data for analytical, operational or AI driven use cases. You will follow strong engineering practices, with testing and observability built in from the start.**Streaming and Real Time Architecture** Designing and implementing ...

capture functional, non-functional, and technical requirements. Agile User Stories & Backlog Refinement: Translate business needs into clear user stories, acceptance criteria, and use cases, keeping product backlogs refined and ready for sprint execution. Process & Data Modelling: Analyse as-is versus to-be processes using BPMN and UML, conducting ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible AI operating models and delivery roadmaps covering use-case prioritisation, data readiness, architecture, governance, security, human oversight, adoption and value tracking.* Lead stakeholder alignment and change across engineering, manufacturing, supply chain, service … MBSE and their integration with ERP, MES and enterprise data and architecture. • The ability to translate emerging engineering technology into credible use cases, scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering ...

Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs — all while staying fully compliant in a fast … cloud-based architecture. Analytical Deliverables & Methodologies: Strong command of the full Software Development Life Cycle. Skilled in process mapping, data modelling, use case creation and defining precise acceptance criteria and test strategies within Scrum and Kanban frameworks. Collaboration & Continuous Learning: A collaborative approach to working within ...

Director of Data & AI is responsible for defining and delivering an enterprise-wide data and artificial intelligence strategy that ensures responsible and secure use of data and AI, achieves meaningful improvements in data governance and control, and drives measurable business value and innovation. The role requires not only … regulatory and compliance considerations (GDPR, data protection, audit requirements) Artificial Intelligence Demonstrable experience leading or scaling AI/ML capability, including: Use case identification and prioritisation Strong understanding of emerging AI technologies, including generative AI and large language models and automation and intelligent decisioning systems Experience embedding ...

Technology, you'll identify opportunities to work smarter, automate processes, improve insight and unlock new ways of working through technology. From deploying AI use cases and business automation to delivering executive dashboards and evolving our Customer Portal, your work will have a visible and lasting impact ...

Data Engineer with strong hands on Microsoft Fabric experience to help design and build a modern data platform supporting analytics, AI and operational use cases. Microsoft Fabric is a key requirement for this role, so we are looking for someone who has used the platform in a genuine ...

Support the review and prioritisation of improvements with product, technology and customer‐facing teams. Data value realisation and project support Support projects that use data … from Honda products to create value for customers, dealers and Honda, working with colleagues across different business divisions. Assist with research, use‐case assessment, business cases, project plans, success measures and progress tracking. Gain exposure to the Data Sharing Platform, data governance and the commercial application ...

multi-disciplinary data teams across more than one discipline Commercial acumen to position governed data as a strategic asset and prioritise high-value use cases Strong vendor and stakeholder management skills Exceptional communication skills, and a relevant degree in a data, technology or analytical discipline, or equivalent professional ...

where your analysis has real operational impact. Key responsibilities * Design, build and deploy data science and machine learning solutions for defence and security use cases * Develop scalable data pipelines and analytics using PySpark on large, complex data-sets * Translate operational requirements into clear analytical approaches * Present findings ...

business data and analytical platforms Developing conversational AI experiences and intelligent workflows Establishing evaluation, monitoring and governance standards for AI solutions Identifying new use cases and helping shape the organisation's wider AI strategy Working directly with end users to understand problems and deliver measurable outcomes Acting ...