51 to 75 of 1,454 Use Case Jobs in London

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital ...

cost-efficient data solutions. Data Product Delivery & Commercial Value: Demonstrated success delivering data products that support analytics, reporting, AI and data science use cases, driving measurable business outcomes and value creation. Technical Leadership & Stakeholder Engagement: Ability to provide technical leadership, translate business requirements into scalable solutions and collaborate ...

Science, Economics, Mathematics, or similar) or equivalent experience Key Attributes Ability to work with clients and model users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive corollaries and deliver interface tools to provide repeatable visual output Strong business acumen ...

Data Engineering Senior Manager, you will: Help manage our wider Data Engineering practice and capability Oversee the development of use‐case and platform technology solutions to tackle critical business challenges, using both reference and emerging technologies, engineering patterns, and AI Services. Define enterprise data strategies, target architectures ...

solutions within an agile delivery team. You will develop data pipelines and transformations that support business intelligence, reporting, analytics, and emerging AI-driven use cases. Working closely with senior engineers, analysts, product owners, and business stakeholders, you will translate requirements into maintainable technical solutions and contribute ...

trusted, high-quality data across the organisation. You will help establish the data foundations required for advanced analytics, machine learning, AI, and GenAI use cases. Business Development: Act as a trusted advisor and subject matter expert during sales and pre-sales activities, helping shape solution approaches, contribute ...

environment of continuous improvement Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Help teams use GenAI effectively across engineering delivery, applying the right practices,controlsand guardrails. Hybrid working with the team on client site or in our office a minimum ...

master and reference data across the enterprise. Establish and integrate MDM capabilities that support operational systems, data products, analytics, reporting, AI, and regulatory use cases. Partner with business domains to define authoritative data sources, golden record strategies, survivorship rules, and data lifecycle management processes. Implement scalable MDM capabilities ...

enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning and use-case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … business stakeholders Knowledge of consumption and annuity commercial models (Azure consumption, licensing, managed services) and how to build a compelling multi‐year value case Key skills needed to succeed in the role Sales hunter skills in building/closing pipeline Active listening to understand business challenges and uncover data ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market‐ready propositions and measurable outcomes. Overview This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field. Success measures Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams. Prioritised AI use‐case portfolio linked to customer value, commercial potential and delivery feasibility. Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions. Validated ...

internal technology teams to generate customer and business value. The role is focused on turning emerging AI opportunities into clear product priorities, practical use cases, market-ready propositions and measurable outcomes.**Overview**This is a senior product leadership role within the CPO organisation, responsible for shaping and driving … related field.**Success measures*** Clear AI strategy agreed across Product, GTM, Sales, GSC, Engineering and Partner teams.* Prioritised AI use-case portfolio linked to customer value, commercial potential and delivery feasibility.* Product Managers actively using the AI strategy to shape roadmap decisions and customer propositions.* Validated ...

modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles Experience integrating cloud and software-as-a-service ...

review.* Design data architectures that enable AI adoption — ensuring data is discoverable, well-governed, and AI-ready for machine learning, GenAI, and agentic use cases across the business.* Partner with AI/ML teams to define patterns for feature engineering, model data pipelines, vector search, and the safe ...

machine learning and AI solutions, from discovery through to production deployment and ongoing optimisation Partner with business stakeholders to identify opportunities, define use cases, and prioritise work based on commercial value Design, develop, and deploy scalable machine learning, predictive analytics, and AI applications Drive technical best practices across ...

e.g. Computer Science, Economics, Mathematics, or similar) or equivalent experienceKey AttributesAbility to work with clients and model users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive corollaries and deliver interface tools to provide repeatable visual outputStrong business acumen ...

analytics platforms, data engineering tools, and AI/ML technologies. Tool-agnostic mindset with ability to evaluate and recommend appropriate technologies for specific use cases. Excellent communication skills, with ability to explain complex technical concepts to both technical and non-technical audiences. Experience working in client-facing roles ...

analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data (Use ...

architecture, vendor selection and implementation approach, working closely with the Head of IT and business stakeholders to prioritise and deliver high-value use cases, escalating major decisions as needed. Thereby helping the Company build practical, well-engineered AI capability that supports its ambitious growth plans. Location: London Line … solutions with existing systems, platforms and workflows via APIs Evaluate and select appropriate LLM providers, frameworks and vendor platforms for each use case Prototype and rapidly test new AI capabilities to assess their applicability to the business Identify opportunities to apply AI and automation to improve operational ...

what should remain an experiment, be productised or be retired. Agentic AI and LLM engineering: Design and implement reliable agentic workflows, including tool use, retrieval, evaluation, orchestration, guardrails, human-in-the-loop controls and observability. Apply LLMOps practices to evaluate, monitor and improve LLM-based systems, with particular … approved OpenAI capabilities, including relevant API, Skills and Work capabilities, alongside FleetAI and other approved platforms where they best meet the use case and governance requirements. Build production-minded back-end services, APIs, data flows and cloud deployments using Python and appropriate modern engineering practices. Collaboration: Work ...

their journey to derive business value from Data & AI.You will be innovative, outcome driven, and passionate about enabling enterprise-wide improvement in the use of Data & AI. Able to operate at a senior level and experienced in identifying, developing, and deploying AI to solve business problems and bring … wide range of stakeholders, including technical and non-technical audiences.Ability to assess relevant techniques for a use-case, decide on an appropriate evidence-based approach, and communicate and justify that approach to stakeholders.Understanding of data governance and ethics principles, including security, privacy, and risk control metrics.Strong stakeholder ...

ensures that features integrate seamlessly into the product’s technical stack (data ingestion, user interface, orchestration) as well as the business process and use case. Required Skills Strong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed … determine trade‐offs between different potential feature implementations Prototype advanced machine learning and optimisation models to prove the value of a use‐case and approach (in Python) Deliver features to industrialise machine learning and optimisation models in Python using best‐practice software principles (e.g., strict typing, classes ...

expand Experian's global Insider Risk Management Program. You will work with stakeholders, technical processes, and Cyber Fusion Centre leadership to enhance detection capabilities, case intake and reporting, use case development, and other aspects relevant to Insider Threat prevention, detection, and response. This role is responsible … documentation, including SOPs, process flows, and reporting and metrics using a variety of tools and information sources (SIEM, UEBA, project and knowledge management systems, case management systems, etc.). Provide operational cross-coverage for Insider Risk and DLP governance activities, including investigations, policy and exception reviews, and business engagement ...

mentor and develop consultants, architects, engineers and analysts, creating clear career pathways and a strong community of practice. Establish reusable accelerators, reference architectures, demonstrations, case studies and sales collateral. Coordinate effectively with wider UK and international teams to bring the best capability to clients. Promote an inclusive, collaborative … expertise, including semantic models, data visualisation, governance, adoption and enterprise reporting approaches. Practical knowledge of AI and generative AI, including use‐case identification, solution shaping, responsible AI, data readiness and integration into business processes. Broad knowledge of the Microsoft data ecosystem, such as Azure Data Factory, Azure ...

Agency Credera Job Function Consulting Subfunction Technology Consulting Job Description Are you passionate about shaping how organisations use, govern and evolve their data? Does the idea of working with public sector and regulated clients to turn complex business needs into clear domain models and sustainable data architectures excite … concepts with technology implementation - Experience applying canonical, analytical, shared and reference-data patterns appropriately rather than forcing one model across every use case - Experience contributing to data strategies, principles, standards, target states and transition roadmaps - Strong understanding of data ownership, stewardship, data products, contracts and federated governance ...

business requirements into practical AI solutions and implementation roadmaps. Collaborate with client stakeholders, architects, engineers, product teams, and delivery leads. Help move AI use cases from proof of concept into secure, reliable, production-ready systems. Required Skills and Experience for this Role Strong experience as an AI Architect ...