76 to 100 of 2,103 Use Case Jobs in the UK

value for both technical and non-technical stakeholders. Design and oversee AI-enabled and data-driven tax solutions – including generative and agentic AI use cases, data pipelines and models – ensuring they are robust, well-governed and ready for production. Manage, coach and review the work of Seniors, analysts ...

analytics-focused teams is highly desirable Consulting & Communication Skills Ability to work with clients and deliverable users, identify their particular use case requirements, design appropriate solutions to load data, perform complex calculations, derive outputs and deliver interface tools to provide repeatable visual output Strong business acumen ...

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 ...

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 ...

architectures and reusable data engineering frameworks within Azure Design and optimise data models, analytical datasets and feature stores supporting advanced analytics and AI use cases Integrate Databricks with Azure Machine Learning, Azure OpenAI and wider Azure data services Support AI/ML and agentic AI workloads including ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing engineering standards, reusable frameworks ...

Data Scientist Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value Take ownership of varied analytical projects and build your career within an established and growing Data Science team Hybrid 80% homeworking ...

Architecture Define enterprise data architectures aligned to business goals. Lead data modelling activities and platform design. Design solutions supporting analytics, reporting and AI use cases. Provide expertise in MDM, data governance and integration. Support technology selection and roadmap development. Leadership & Consulting Lead multidisciplinary delivery teams. Provide architecture governance ...

methodologies and experience working within fast-paced development environments. Strong understanding of data modelling , data structures, and their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising ...

results and challenge the technical approach, without writing code or raising pull requests yourself. A live example of the type of use case in scope: automating a client onboarding process that currently takes circa twenty four months to complete manually, involving document handling, data extraction, policy validation … compliance checks. What you will do Work with business leadership to identify, size and build the case for high‐impact AI use cases Prioritse and sequence use cases, balancing value, feasibility and organisational readiness Own adoption end to end, stakeholder engagement, training and change programmes ...

Factory (95009), United Kingdom, London, LondonStaff 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 ...

enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. As an early-career AI Engineer at NewRocket, you will have … client‐facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use‐case discovery and proof‐of‐concept development through production rollout, evaluation, monitoring, and continuous improvement. Travel to clients and conferences as needed. Key Responsibilities ...

acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic … agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross‐functional AI use‐case discovery sessions Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non‐technical stakeholders and vice ...

acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic … agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross-functional AI use-case discovery sessions Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non-technical stakeholders and vice ...

hands‐on technical workshops for Tech teams – participants build and ship working AI agents themselves. Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first working solutions on KAIT. Success is measured by independent use. Run structured AI opportunity audits within … Technology Release Process. Identify gaps in processes, documentation, or governance frameworks and work with owners to close them. Use Case Pipeline & Enablement at Scale Coach Tech Innovators through the full lifecycle of AI use cases. Guide and upskill teams for high‐complexity use ...

successful product launch and sustainment.**Lead AI integration**: Work with leadership to implement the company's long-term AI strategy, identifying practical use cases for AI and translating product goals into actionable technical tasks. Lead the design, development, and deployment of AI-enhanced software solutions and oversee ...

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 ...

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 ...

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 ...

culture that values your ideas and technical leadership. Job Responsibilities: Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery Collaborate with business, technology … awareness of data sensitivity Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements Hands-on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities ...

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 ...

Strong understanding of Business Analysis methodologies and best practices. Experience in requirements elicitation, analysis, and management. Proficiency in creating BRDs, FRDs, user stories, use cases, and workflow diagrams. Ability to perform gap analysis, impact analysis, and process mapping. Stakeholder Management Strong communication and presentation skills. Experience working with ...

automation and emerging technologies Identify and support opportunities to leverage AI and internally developed LLM capabilities to enhance Sales & Marketing processes Contribute to use cases such as: Supporting sales teams with AI-assisted insights (e.g., pipeline trends, account summaries) Streamlining documentation, knowledge access, and user support through ...

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 ...