426 to 450 of 602 Use Case Jobs in the UK excluding London

individual who can bridge the gap between investment professionals and AI-enabled solutions. The role will involve: Identifying and implementing practical AI use cases across investment and operational functions. Working closely with Portfolio Managers and Investment Analysts to enhance research, idea generation and decision-making processes. Helping shape … firm’s broader AI strategy and long-term roadmap. Promoting the responsible, secure and effective use of AI technologies across the organisation. Building, testing and deploying AI-driven tools and workflows. Acting as an internal advisor and educator to support adoption across the business. Our client currently utilises ...

aligned to product priorities and delivery plans Contribute to roadmap development, helping to shape priorities and communicate product direction across the business Use data, customer insight and feedback to support decision-making and measure product impact Act as a key product contact for internal teams, including Account Management … product changes meet customer needs, quality expectations and business objectives Build strong relationships with customers, dealers, partners and manufacturers to understand real‐world use cases and validate product direction Requirements Previous experience as a Product Manager within a software, SaaS or technology environment Knowledge of automotive retail, dealership ...

drive the end-to-end delivery of high-impact AI and machine learning solutions. You will partner with business leaders to define valuable use cases, translate outcomes into measurable objectives, and ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will … strategy and foster a culture of excellence and innovation. Job Responsibilities: Own end-to-end AI delivery, partnering with the business to identify use cases and deliver production solutions Review and contribute to solution design, modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands ...

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 ...

features, user stories and acceptance criteria. Maintain end-to-end traceability and support prioritisation Identify and shape opportunities across threat detection, alert triage, investigation, case management, orchestration, fraud analytics, resilience and AI governance monitoring. Define workflows, business rules, exception handling, decision boundaries and human oversight. Define data requirements, authoritative … learning, analytics or intelligent automation capabilities. Experience with cloud and data platforms, preferably Microsoft Azure. Knowledge of security operations, fraud operations, SIEM/XDR, case management or orchestration. Knowledge of responsible AI and AI governance practices. About Us FDM is an award-winning global leader in tech and business ...

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 ...

data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform Shape the direction … helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love ...

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 ...

innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies Collaborate with AI and data science specialists to design … operations, markets, or enterprise technology Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front-end capabilities with React or modern front-end development Apply graph database modeling concepts Why Join ...

external expectations. Insights & Analytics – delivering, complementing and supporting broader insights across Business Banking. We’ll be elevating the visibility, value, and strategic use of analytics across the Society and Business Banking. Data Strategy & Design - providing direction and coordination on Business Banking and broader Society data initiatives, including integration … driven. Uncompromisingly customer. Unstoppably Nationwide. Keeping your data and personal information confidential is important to us. To find out more about how we use and process your data, please read our Privacy policy. If you want to find out more about using AI in our recruitment process, please ...

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using … Desirable experience Experience with Copilot Studio or similar conversational or agent‐based AI technologies Understanding of LLM capabilities, prompt design, and enterprise AI use cases Awareness of Azure AI Foundry and the wider Azure AI ecosystem Familiarity with CI/CD and ALM practices for Power Platform ...

understand new features and define verification requirements. Build comprehensive verification plans that account for interactions across hardware, firmware, software, and system-level use cases. Develop directed and constrained-random tests, verification environments, and automation infrastructure. Estimate verification effort and identify required enhancements to verification environments and methodologies. Debug … qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting ...

Responsibilities: Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership … theories and practices within own discipline alongside up-to-date relevant sector/functional knowledge, and insight into external market developments/initiatives. Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/sensitive situations. Exercise management authority to make significant ...

truth for key collateral, Bid and experience systems, processes, evaluation, Internal reporting requirements. Facilitating workshops and stakeholder meetings to gather requirements. Effectively use Microsoft tools including copilot and planner to track projects. Support process improvement initiatives, helping to streamline workflows, improve efficiency and enhance the user experience with … particular focus on AI & automation. How we collate, maintain, manage, repurpose and use our experience against our marketing collateral is a key area: This person would be the SME and key contact for all Experience Management and league table queries, training, ensuring an efficient and effective matter collection ...

Regulatory Data Council, Regulatory Data Hub, data stewardship program, and regulatory data standards, the Director will strengthen the quality, integrity, accessibility, and responsible use of GRA data. This highly collaborative and technically fluent leader will partner across R&D, Johnson & Johnson Technology (IT), Data, Data Science and Artificial … Regulatory Data Council to align GRA data domains with data products. Collaborate with JJT (IT) and DDSAI to enable consistent management and effective use of regulatory data across a range of business use cases. Provide strategic input to current and future tools and processes used ...

audit trails. Monitor technology risks, vulnerabilities, system weaknesses and compliance gaps, escalating material risks with proposed actions. Promote cyber awareness and responsible system use across the business. Ensure core systems, infrastructure and platforms are reliable, resilient, secure and able to support business continuity. Oversee disaster recovery, backup, access … where AI could improve productivity, operational efficiency, customer and tenant experience, decision-making and growth. Proactively evaluating emerging AI tools and relevant business use cases. Working with leaders and teams to redesign processes and introduce practical AI-enabled ways of working. Leading controlled pilots, measuring their impact ...

truth for key collateral Bid and experience systems, processes, evaluation Internal reporting requirements Facilitating workshops and stakeholder meetings to gather requirements Effectively use Microsoft tools including copilot and planner to track projects Support process improvement initiatives, helping to streamline workflows, improve efficiency and enhance the user experience with … particular focus on AI & automation. How we collate, maintain, manage, repurpose and use our experience against our marketing collateral is a key area: This person would be the SME and key contact for all Experience Management and league table queries, training, ensuring an efficient and effective matter collection ...

models involving more than 10 tables Integrating data from multiple data sources into a QlikView Data Model, Social Media content, API extensions, etc. Use of complex QlikView functions and developing most optimal scripts for a given solution Optimization of Dimensional data model for performance Primary responsibilities will include … with new reporting and dashboard applications, to enable better decision making Responsible for working with stakeholders, business users and technical teams to identify use cases; organize requirement gathering sessions with stakeholders, capture and translate business requirements into system & functional requirements Collaborate with business leads to create prototypes ...

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 ...

role: Collaborate with other engineers and teams to onboard new cloud services to MorganStanley Architect new cloud solutions for new use cases consistent with MorganStanley security standards. Build POC’s and example code through which developers can access GenAI models via standard APIs. Have an application developer mindset … build common, reusable solutions to scale generative AI use cases. Contribute to major design decisions and product selection for building generative AI solutions. Develop tooling and self‐service capabilities for deploying AI solutions. Collaboratewith developers to enhance the developer’s experience when building and deploying AI applications. Documentbest ...

development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow … data challenges and requirements, and accelerating solutions. Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability. Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. Own, scope, prototype, and implement solutions ...

years ahead. About the team Porterbrook’s digital services team are responsible for developing digital capability, helping customers and the wider industry use data analytics to drive improvements in train services and reliability. About the role A great opportunity for an exceptional Performance & Reliability Engineer, to join … data Working with our customers and the supply chain, supporting the creation and refinement of event detection algorithms Developing a suite of customer use cases using the output of RCM systems to enable further adoption of digital technology Working with the wider team, support the development ...

business. This is a hands-on role focused on designing robust data pipelines, improving data accessibility and creating scalable solutions that enable better use of information across a complex technology environment. What You Will Be Doing Building and maintaining data pipelines that ingest and process information from multiple … sources. Developing scalable platforms to support analytics, search and emerging AI use cases. Designing data structures that improve the quality, accessibility and usability of enterprise information. Supporting search and discovery capabilities through effective indexing and data management practices. Implementing governance, lineage and quality controls across critical datasets. Working ...

improvement of the Splunk SOAR service. Design, develop, review, and maintain Splunk SOAR playbooks to support security detection, investigation, and response. Translate security use cases, incidents, and operational requirements into effective automated workflows. Test SOAR playbooks thoroughly and manage controlled deployment into production environments. Ensure playbooks and integrations … Experience working with APIs, webhooks, and automation integrations. Familiarity with AI‐driven SOC capabilities, such as: AI‐assisted alert triage or incident enrichment Use of AI within detection and response workflows Experience using AI security coding tools or AI‐assisted development tools. Exposure to infrastructure automation or infrastructure ...

automation where required. You will have a strong interest in AI and emerging technologies, with the ability to identify practical opportunities to use AI, analytics and workflow automation tools to improve VAT return processes, increase efficiency and strengthen controls. You will make an impact by Owning and driving … analytics or scripting techniques to improve tax and compliance processes. Strong interest in AI and emerging technologies, with the ability to identify practical use cases and take ownership where appropriate. Comfortable working hands‐on with technology and troubleshooting issues when required. Strong practical understanding of automation tools ...