776 to 800 of 1,860 Use Case Jobs in England

scale AI in a enterprise context and translating findings into executive recommendations, investment priorities and transformation roadmaps Defining AI solutions for targeted use cases or complex AI products that span across value streams that are underpinned by existing enterprise IT & data landscapes, including prioritisation of use … value, feasibility, scalability and strategic relevance Develop board-ready recommendations on AI-enabled growth, productivity and transformation opportunities Developing the technical and economic case for AI, including inference and token costs, infrastructure requirements, cost-to-serve, gross-margin sensitivity and build, buy or partner decisions Advising on AI governance ...

production support. Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities. Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams … code quality practices, and the ability to independently drive technical solutions from design through delivery. Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation,evaluation, and technical decision-making. Excellent collaboration, communication, and stakeholder management skills, with ...

traditional product management role - it sits at the intersection of product, technology, and operational transformation, working in small, agile teams to take AI use cases from rapid prototype to industrial-grade production capability. You will not only define the "what" - you will drive and engage in the "how. … actions, trustee and fiduciary services, and client reporting. Operate with a commercial mindset, assessing ROI and business impact to sequence the most valuable use cases against available investment. Rapid Prototyping and Discovery Lead intensive discovery phases with Fund Services operations, product, and engineering teams to uncover problems, define ...

sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems … within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases , and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse ...

helping solutions move through testing, deployment and handover. Integrate data from enterprise systems, APIs and other sources to support automation, reporting and analytical use cases. Translate business and process requirements into appropriate data models, transformations, metrics and reusable data products. Work with business process owners, developers, Enterprise … application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like ...

practices for security, performance, cost optimization, and operational excellence. Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical implementations. Use AI-assisted development tools appropriately to support engineering productivity, code quality, testing, and delivery. Mentor junior team members and contribute to building technical capability …/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics ...

initiatives to enhance executive-level insights. Key Accountabilities Lead analysis and reporting on client contract performance using GARP, assessing deals against business case plans in partnership with client engagement teams. Analyse net yields and client profitability across portfolio dimensions (domestic vs cross-border, CNP, regulated markets) to identify opportunities … enabled automation and insight generation within governed finance environments. Experience with Power BI AI capabilities, low-code automation tools, and emerging AI use cases in deal modelling or performance reporting. Commercial & Finance Experience Significant experience in deal modelling, valuations, or commercial finance, ideally within payments, consulting, or financial ...

client sites, and your home.Your RoleAI Strategy & Business TransformationPartner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.Translate business challenges into scalable AI solution roadmaps and implementation plans.Drive AI innovation and support enterprise-wide digital transformation initiatives.Develop business cases, success metrics … Responsible AIPromote responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.Establish AI governance frameworks, standards, and best practices.Ensure ethical and compliant use of enterprise and customer data. Leadership & Team DevelopmentLead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.Mentor team members ...

your home.## Your Role**AI Strategy & Business Transformation*** Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.* Translate business challenges into scalable AI solution roadmaps and implementation plans.* Drive AI innovation and support enterprise-wide digital transformation initiatives.* Develop business … responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.* Establish AI governance frameworks, standards, and best practices.* Ensure ethical and compliant use of enterprise and customer data.**Leadership & Team Development*** Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.* Mentor team ...

your home.## Your Role**AI Strategy & Business Transformation*** Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.* Translate business challenges into scalable AI solution roadmaps and implementation plans.* Drive AI innovation and support enterprise-wide digital transformation initiatives.* Develop business … responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.* Establish AI governance frameworks, standards, and best practices.* Ensure ethical and compliant use of enterprise and customer data.**Leadership & Team Development*** Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.* Mentor team ...

About the Role: Grade Level (for internal use): 11 The Team: The AIOps team is responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. … product roadmap, aligning priorities with enterprise reliability goals, operational maturity, adoption targets, and measurable business outcomes. Translate operational needs into clear product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event ...

Deferred Revenue, Revenue Recognition (Rev Rec), and Close Pack Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases Own pipeline reliability through financial close - monitor, alert on, and recover from failures; serve as the primary on-call escalation point Establish data … data discrepancies Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental ...

Deferred Revenue, Revenue Recognition (Rev Rec), and Close Pack Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases Own pipeline reliability through financial close -- monitor, alert on, and recover from failures; serve as the primary on-call escalation point Establish data … data discrepancies Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs Preferred: Experience integrating CRM/ERP systems (NetSuite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental ...

Delivery, taking ownership of the day-to-day execution and coordination of data science and AI delivery across strategic projects and standalone use cases. You will play a hands-on leadership role — driving technical delivery, managing workstreams, and stepping in for the Head of when required. This … Oversight & Contribution: Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case. Review code and technical outputs to maintain quality standards, and contribute hands‐on to Python-based development when needed, particularly during critical delivery ...

deployments—often onto edge or embedded hardware. Train and adapt models: work on model development, fine-tuning, evaluation and optimisation for real-world use cases. Work at scale where needed: run and improve training and inference workloads across GPUs, including multi-GPU or multi-node environments, to support … across the team. Key skills, experience and behaviours Essential Proven delivery: experience building, training, evaluating, optimising or deploying ML systems for real-world use, ideally in demanding environments. Deep domain expertise: Strong capability in at least one major area of ML, such as optimisation, computer vision, sequence modelling ...

test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows … controls to ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

practical client outcomes. Most engagements begin with a design phase in which the team defines the future vision, priority use cases, value case, operating model, delivery roadmap and implementation approach. Engagements then typically move into a build phase where solutions, processes, controls, adoption plans and new ways … Knowledge of responsible AI, model risk management, data governance, GDPR, AI governance and regulatory expectations. Experience with cloud, data platforms, workflow tools, CRM platforms, case management solutions or enterprise AI platforms. Experience leading design phases for complex transformation programmes, including current-state assessment, future-state design, business case ...

what the platform is doing and why, so trust compounds. Design and run journey-level A/B tests across agent flows, and use the results to decide what ships next. Own onboarding so customers reach full platform value quickly, own onboarding and keep compressing the path … share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows. At Siena, we're not just looking for people who can do a job. We're looking ...

partner co-sell motions, and new opportunities within existing accounts. Manage and grow a portfolio of named accounts, supporting discovery, value-based conversations, business case development, and commercial discussions. Execute renewals with expansion in partnership with internal teams, navigating procurement processes and supporting contract negotiations to ensure timely execution. … technical or business blockers and support deal progression. Take a proactive approach to customer enablement through product education, new feature awareness, use-case development, and account reviews. Leverage the Alteryx Alliances and Channels ecosystem to support go-to-market execution, including partner-led prospecting and co-sell ...

data ingestion patterns reusable and robust Make technical decisions that enable the platform to scale with DeepL’s data volume and use-case diversity Build connectors, interfaces, and integrations that bring data to humans and AI agents, including MCP connectors and workflow skills Design AI-powered data … data workflows, access management, security configurations, audit trails, and spend governance Build golden-path templates and patterns that help engineers across the company use data safely and efficiently Требования Hands-on experience building and operating cloud-based data infrastructure Experience with Terraform/Terragrunt, CI/ ...

build will become a core skill. Judgment on business impact matters more than raw build speed and knowing which use case will truly move the customer’s key metric. About You 5+ years of experience in solutions consulting, data/AI consulting, technical pre‐sales, sales engineering … readouts. Deep understanding of business processes across procurement, finance, and supply chain, and skill in translating high‐level business needs into specific AI use cases. Clear presentation skills to both internal and external stakeholders, able to demonstrate value in terms of time saved, error rates reduced, or adoption ...

know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether … Service. How you'll make an impact Strategy & Roadmap: Define and deliver the AI transformation roadmap across people, process, and technology. Use-Case Pipeline: Identify, prioritize, and deploy high-value AI solutions, starting with quick wins and building toward scalable, enterprise‐grade tools. Process Optimization: Partner with ...

network simulation tool to assess network level performance of optical communication systems, supporting site selection and network architecture development. This includes use case, scenario and KPI definition, analysis of large simulation datasets, and optimisation of simulation efficiency Generate technical reports, visualisations, and presentations to communicate results … responsibility Regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy, so anything ...

network simulation tool to assess network level performance of optical communication systems, supporting site selection and network architecture development. This includes use case, scenario and KPI definition, analysis of large simulation datasets, and optimisation of simulation efficiency Generate technical reports, visualisations, and presentations to communicate results … need any assistance or accommodation to complete your application or assessment, please contact us through the application form. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy ...

entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest … Coach the team on account strategy, executive engagement, and commercial execution on complex, multi-year contracts. Identify new workflow improvements and use-case opportunities, helping to upskill the broader customer-facing team in commercial best practices. Collaborate with Customer Success Operations, Customer Value Architects, and Product ...