201 to 225 of 292 Use Case Jobs in the UK excluding London

.NET Core Some knowledge of C++ desktop UI, e.g. MFC, for occasional legacy work User interface design ability, considering the customer use case The skill and inclination to work rapidly, towards the immediate needs of the business, and to a high standard including thorough testing Keen ...

Solutions & Automation Identify and deliver high‐value AI and automation use cases across the HR lifecycle — intelligent onboarding, workflow automation, AI‐assisted case triage, talent insights, and conversational self‐service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold’s talent intelligence platform, and ServiceNow HRSD. … automation solutions within HR systems. Experience with digital assistants or AI‐driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Must be available to work ...

Solutions & AutomationIdentify and deliver high-value AI and automation use cases across the HR lifecycle — intelligent onboarding, workflow automation, AI-assisted case triage, talent insights, and conversational self-service.Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold’s talent intelligence platform, and ServiceNow HRSD.Build and prototype …/ML and automation solutions within HR systems.Experience with digital assistants or AI-driven employee experience platforms is a plus.Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration.Experience leading or mentoring small technical teams, including integration engineers and developers.Must be available to work within ...

processes and identify opportunities for improvement Gather and translate business needs into clear functional and non-functional requirements Develop user stories, acceptance criteria, use cases and process models Assess potential AI and automation use cases for feasibility, value and operational impact Work alongside data specialists, developers ...

across THG PLC Define how data domains (Customer, Commercial, Operations) should be structured, stored and made available for analytics, data science and AI use cases Own the relationship with Ingenuity on platform and data matters — setting requirements, managing dependencies and ensuring PLC needs are reflected in the Ingen … roadmap Evaluate where THG should use Ingen capability versus external tooling, and ensure every technology choice is documented and commercially justified Drive the business towards a single source of truth — reducing data silos, resolving mastering conflicts, and building confidence in our data across the organisation Lead the Engineering ...

platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security ...

platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security ...

Security Information and Event Management (SIEM) platform. You will be responsible for onboarding new log sources, improving data pipelines, developing advanced detection use cases, and supporting incident response activities. This is an excellent opportunity for a security professional who enjoys building scalable, high-performing security monitoring environments … custom parsers, connectors, and ingestion workflows Collaborate with internal teams and vendors to ensure high-quality telemetry Detection Engineering Design and implement detection use cases aligned to frameworks such as MITRE ATT&CK Build and tune correlation rules, alerts, dashboards, and anomaly detections Continuously improve detection quality ...

trends, customer needs, and business priorities. Meet regularly with customers and platform stakeholders to gather and analyse feedback to refine the product roadmap. Use internal analytics to drive decisions on feature enhancements and roadmap priorities. Work with engineering to ensure accurate documentation collection, storage, and retrieval for knowledge … insights. Feature Definition & Prioritisation Collaborate with stakeholders to define and prioritise features and enhancements. Write and refine user stories, acceptance criteria, and use cases to ensure clear requirements for the development team. Maintain a prioritised backlog and make decisions on trade-offs to maximise the impact of each ...

business needs into clear functional and non-functional requirements. Produce high-quality business analysis documentation, including BRDs, user stories, epics, features, process maps, use cases and acceptance criteria. Analyse current and future-state processes, identifying opportunities for improvement and optimisation. Work closely with delivery and technical teams … been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured ...

investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. Ensure AI solutions are implemented responsibly, with appropriate governance … technologies (RPA, workflow tools, intelligent document processing). Understanding of AI capabilities in regulated environments and ability to translate needs into AI‐enabled use cases. Expertise in master data management, metadata structures, data lineage, and ensuring accuracy, compliance, and audit readiness. Ability to align stakeholders on system ...

handover. This is end-to-end agent engineering, not proofs of concept and not advisory work. Two flavours of engagement: Internal enterprise use cases, such as reconciliation and KYC workflows in financial services, clinical and claims workflows in healthcare, operations and supply-chain workflows in logistics. Product … gates. Frameworks: At least one of: Anthropic Agent SDK, LangGraph, LlamaIndex, or an equivalent orchestration framework, plus the judgement to know when to use none of them. RAG and retrieval: Chunking strategy, embeddings, hybrid and semantic search, re‐ranking, citation and provenance, natural‐language‐to‐query translation. Data ...

software house’s approach to modern engineering and emerging technologies, including the responsible adoption of artificial intelligence. This includes identifying appropriate AI use cases, shaping the technical enablers required for AI-enabled services, and ensuring that any adoption of AI is safe, lawful, ethical, auditable and aligned … enterprise and SaaS platforms relevant to the environment, including Microsoft Power Platform and Palantir Foundry, with the ability to judge where platform use is appropriate and where bespoke engineering or open approaches are preferable. Understanding of cyber security, identity, hosting, networking and service management considerations relevant to live ...

support and grow a sustainable advertising business. The team owns server technologies, data platforms, and cloud services that power advertising and marketing use cases. We are recruiting a Senior Machine Learning Engineer to build and enhance intelligent systems that help the marketing team harness the power of data. … Doing Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis ...

mastered within each domain Ensure domain datasets are structured for downstream consumption – analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces AI-Enabled Engineering Champion the use of AI in data engineering … consumes its data Deep understanding of data modelling, pipeline design and distributed data architecture Experience with Dataform or dbt for data transformation Demonstrated use of AI in data engineering – AI-assisted pipeline development, automated quality checks, or similar practical applications Experience mentoring and developing engineers Experience building towards ...

customers and colleagues. This role focuses on administering and optimizing Splunk Enterprise Security, Microsoft Sentinel, and supporting modern Security Operations by developing SIEM use cases, managing data pipelines, automating security workflows, and strengthening enterprise cyber defense capabilities. What you will do: Design, develop, and improve SIEM solutions that … support enterprise security operations. Administer, manage, and maintain Splunk Enterprise and Splunk Enterprise Security environments. Develop SIEM use cases, correlation searches, and detection rules. Build and maintain Splunk data models to support advanced analytics and security monitoring. Configure and support Splunk Cloud environments. Administer and maintain Microsoft Sentinel ...

insurance industry and experience of designing, specifying and validating agentic workflows, prompts and decision logic for AI-driven automation and Gen AI use cases. Exposure to the London Market is preferred but not mandatory. They will write and communicate specifications based on business requirements, clarifying and giving further … knowledge on certain areas of the product. Design and specify agentic workflows, prompts, and decision logic for AI-driven automation and Gen AI use cases. Demonstrate strong data literacy, including the ability to analyse, interpret, and leverage data to inform requirements and validate AI outputs. Apply prompt engineering ...

that platform. This is a genuinely full-stack role: you'll own applications end-to-end, the interfaces chemists and operations staff use every day, the services behind them, and the data pipelines that feed them. The platform spans seven domains, chemical identity and registration, chemical safety, inventory … abstractions you choose will outlive the code. Data pipelines and orchestration. Dagster pipelines feeding a versioned data lake and a warehouse serving multiple use cases, with the reproducibility and governance that scientific data demands. Reconciling sources that disagree. External datasets, vendor systems, and instruments that each claim ...

e.g. summarising workshops, identifying gaps, generating follow-up questions). • Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. • Collaborate closely with engineering, QA, UX, and architecture teams throughout the product … customer workflows, and business rules to inform product decisions. • Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. • Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies • Validate product functionality, support testing cycles, and ensure delivered ...

e.g. summarising workshops, identifying gaps, generating follow-up questions). Translate requirements into clear functional specifications, user stories, acceptance criteria, workflow diagrams, and use cases, using AI tools to improve structure, completeness, and speed of delivery. Collaborate closely with engineering, QA, UX, and architecture teams throughout the product … customer workflows, and business rules to inform product decisions. Lead Agile ceremonies such as backlog refinement, sprint planning, sprint reviews, and product demos. Use AI to support backlog refinement by suggesting story breakdowns, identifying edge cases, and highlighting dependencies Validate product functionality, support testing cycles, and ensure delivered ...

related roles* Strong handson expertise in Azure and GCP services architecture and operation* Working knowledge of AWS for secondary multicloud support and integration use cases* Advanced experience with CICD tools such as Azure DevOps GitHub Actions and Jenkins* Deep Infrastructure as Code expertise with Terraform including module design … from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making ...

accreditation, deployment, and adoption of agentic platforms and solutions, working closely with audit quality, risk, and governance stakeholders to enable safe, scalable use of advanced AI capabilities. Drive the reimagining of audit functions through AI, translating strategic intent into AI-enabled products and workflows that transform service delivery … value realisation. (E) Strong ability to translate complex business, audit and user needs into clear, prioritised product requirements and practical AI-enabled use cases. (E) Experience leading cross-functional teams and working effectively with engineers, data scientists, architects, governance leads and business stakeholders to deliver secure, compliant ...

reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities - with operational excellence at the core. Responsibilities: Design and implement solutions … environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities ...

work in, with plenty of opportunities to shape products that make a real difference. Our engineering team is split across two codebases which use different languages for different use cases. As a mid-level developer your key responsibilities will be: Maintain and extend C++ Lambda services ...

matching, and inference models for production use. Measure model performance and produce detailed error analysis to support ongoing improvement. Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes. Collaborate with domain experts to translate complex business challenges into … Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on use of pandas and scikit-learn. Strong statistical knowledge and the ability to design effective validation and evaluation methodologies. Experience assessing model performance, analysing errors ...