276 to 300 of 1,464 Use Case Jobs in England

workshops, structured interviewsExperience of understanding a business or a process and presenting it in a structured way e.g. Business Process Modelling, Use Case modelling and/or User Story development.Ability to structure the analysis of a business or product e.g. SWOT or MOST analysis.Some experience of Agile ...

agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise‐grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker’s agent ecosystem ...

Evangelism Represent the company at industry events, conferences, and webinars. Create and share technical content (blogs, demos, tutorials) that highlight real-world use cases and best practices, showcasing the company’s impact in the world of APIs and beyond. About You We recognize that every candidate brings ...

seamless integration using the Workato Agentic AI platform.Continuously monitor and improve AI system performance, ensuring efficiency and reliability.Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure ...

generated outputsMonitor platform adoption, knowledge quality, and user engagement, identify improvement opportunities, and provide actionable feedback to support platform enhancementsIdentify and document business use cases where market and customer intelligence can improve commercial decisions, and collaborate with program leadership to inform platform priorities and enhancementsSupport the expansion ...

Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack for specific business use cases.Partner with AI & Data Governance to ensure architectures align with risk, compliance, and lifecycle requirements.Technical Feasibility & Scoping Conduct evaluation of the technical feasibility ...

Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack for specific business use cases.Partner with AI & Data Governance to ensure architectures align with risk, compliance, and lifecycle requirements.Technical Feasibility & Scoping Conduct evaluation of the technical feasibility ...

knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments.* Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack.**Qualifications:*** Experience in SRE, Observability Engineering, or platform infrastructure roles focused ...

Capabilities Working knowledge of Azure AI services and how they can be applied to customer solutions. Ability to advise customers on practical AI use cases, risks, and governance considerations. Understanding of how AI capabilities integrate into cloud‐native and DevOps‐led architectures. Experience using AI‐assisted tools responsibly ...

Capabilities Working knowledge of Azure AI services and how they can be applied to customer solutions. Ability to advise customers on practical AI use cases, risks, and governance considerations. Understanding of how AI capabilities integrate into cloud‐native and DevOps‐led architectures. Experience using AI‐assisted tools responsibly ...

point of contact for Pension-related queries and initiatives.Contribute to the CRM roadmap, proposing new use cases and automation opportunities aligned with Pension business priorities.Translate business needs into technical CRM requirements, working closely with Data and Product teams.Ensure full GDPR compliance and best practice in customer data management.Act ...

Ethics Guidelines for Trustworthy AI Technical and Implementation Experience: * Conducted AI risk assessments, model validation, and algorithmic impact assessments across multiple use cases and industries * Implemented AI governance tools and platforms (e.g., model registries, monitoring solutions, bias detection tools, explainability platforms) * Has contributed to the definition ...

Experience designing agentic workflows and reasoning strategies, with hands‐on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Core Competencies Demonstrates expertise in developing and implementing ...

based applications from adversarial attacks and prompt injections. Building and automating a security testing framework to validate protection mechanisms for various LLM use cases. Owning solutions that are expected to operate and perform at scale across the organisation. Collaboration with multiple stakeholders and partners across Engineering and Operations ...

solutions that enhance efficiency and effectiveness.ROLE RESPONSIBILITIES• Conduct interviews and workshops with stakeholders to understand business needs.• Document detailed business requirements and use cases.• Collaborate with IT teams to ensure technical feasibility.• Analyze existing business processes to identify areas for enhancement.• Develop process models and workflows to optimize ...

integration processes. – Collaborate with client data engineering teams to advise on data pipelines, schema design, and pipeline infrastructure needed for analytic and monitoring use cases. – Translate complex technical concepts into clear, executive‐level recommendations and actionable roadmaps. Business Development and Lead Generation – Maintain and develop a personal profile ...

platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience. A deep, hands ...

gateways, and cloud-native infrastructure required to execute autonomous network actions safely and reliably.Key ResponsibilitiesDesign and implement automation workflows for autonomous network use cases.Build intent-to-configuration pipelines that translate validated intents into network actions.Develop reusable automation playbooks, templates, modules, and orchestration workflows.Implement automation using tools such ...

teams to design and operate the platforms required to train, evaluate, deploy, and govern large-scale AI systems across IQVIA products and healthcare use cases.Key ResponsibilitiesOwn the AI platform and infrastructure roadmap, leading the planning and execution of LLM initiatives and translating research requirements into scalable engineering solutions.Partner ...

Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases.* Proficiency in data analysis tools.* Strong foundation in statistics, modeling, and large-scale text processing.**Why Join Us?**Join our team and contribute ...

environment architecture, high availability and resilience design, and controlled release governance. Design, configure, and optimise user journeys across authentication, registration, recovery, and federation use cases. Build and evolve IAM CI/CD pipelines and promotion strategy for secure, repeatable rollout of configuration, code, and policy across environments. Establish ...

renewal and expansion process. Embed deeply within client organizations , becoming a programmatic partner and helping them unlock measurable value through clear use cases. Champion behavior change by guiding clients through our consultative methodology, aligning our platform with their most pressing priorities. Partner closely with Sales during pre-sale ...

About the Role Grade Level (for internal use): 11. The AIOps team is responsible for modernizing IT operations through intelligent observability, event correlation, anomaly detection, predictive insights, and automation. They partner with AIOps vendors, IT Operations, infrastructure, platform engineering, SRE, service management, and application teams to reduce operational … machine learning applications in operations, including forecasting, anomaly detection, pattern recognition, and recommendation models. Experience maturing enterprise AIOps operating models, including use case rollout, adoption measurement, workflow integration, and continuous improvement of operational outcomes. Relevant certifications in cloud, ITSM, observability, or platform engineering are a plus. Benefits ...

policy, data governance, technology standards, control framework, Global Markets AI engineering standards and risk appetite.The role will identify and prioritise high-value AI use cases, with clear linkage to control effectiveness, conduct governance, employee lifecycle efficiency, productivity, service improvement or risk reduction.The role will design and deliver pragmatic … Workforce analytics, skills data and compensation governance considerations.Fairness and privacy – Data privacy, employment law sensitivity, fairness and bias risk in AI models.Investigations – Investigation workflows, case management and defensible audit trails.Education/Qualifications:EssentialComputer Science, Engineering, Data Science, Mathematics or related degree, or equivalent practical work experience.Preferred:Relevant cloud, data ...

support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision‐support techniques to mission‐critical use cases. Developing API‐driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud‐native and containerised AI solutions within secure environments. … Azure AI Foundry/Azure OpenAI). Working knowledge of Generative AI/large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible ...