76 to 100 of 2,353 Use Case Jobs in the UK

transformation programmes.- Design, build and maintain scalable data pipelines, datasets and data models.- Develop solutions that support analytics, reporting, machine learning and AI use cases.- Work with both structured and unstructured data from multiple sources.- Develop and implement AI and machine learning solutions where appropriate, including prediction, classification ...

will work closely with architects, engineers and client stakeholders to deliver modern cloud-based data solutions that support operational, analytical and AI-driven use cases. The role combines technical leadership with hands‐on engineering, helping clients modernise their data estates while ensuring solutions are secure, reliable and scalable. ...

financial services, regulated environments or market infrastructure. Familiarity with Azure AI services and Microsoft AI ecosystem. Experience with observability, SRE or operational analytics use cases. Experience developing AI‐powered automation solutions. Knowledge of Responsible AI and model governance frameworks. Behaviours & Competencies Strong problem‐solving capability and analytical thinking. ...

sound commercial judgement Lead AI diagnostic and strategy engagements, framing the problem, identifying and prioritising AI use cases, and developing the value case to inform investment and transformation priorities. Lead AI transformation engagements from prioritised use cases through to production, orchestrating delivery across Teneo … consulting capabilities, client teams and external vendors, and maintaining a clear focus on adoption and realised business value. Manage case teams on a day-to-day basis, including planning and delegating workload, coordinating multidisciplinary contributors, and providing coaching and development support to junior colleagues Support Directors and Managing Directors ...

Your key responsibilities Build and deliver AI and data solutions for financial services tax clients – developing data pipelines, models, automations and generative AI use cases under the direction of Managers. Analyse, cleanse and transform complex, often unstructured taxdatasets into well‐structured, AI-ready data. Contribute to solution design ...

pipelines across cloud environments. Build, optimise, and maintain batch and real-time data processing solutions to support analytics, reporting, machine learning, and AI use cases. Work with clients to understand business requirements and translate them into robust technical solutions. Contribute to solution architecture, platform design, and technology selection ...

Architect, you will accelerate adoption of BrazeAI capabilities and services by working directly with customers at critical moments to identify and prioritize use cases and activate their first AI and agentic use cases. Since 2025, Braze has launched a suite of Agentic AI products, including Decisioning … their impact AI Accelerators a 2–6 week engagement with a named objective and weekly working sessions, guiding the customer from use case ideation to the launch and initial impact reporting of the new strategy AI Diagnostics: assess a customer's messaging program, data, and current BrazeAI ...

Reporting to the Data Platform Manager, the Data Engineer will ingest data from a range of sources and transform it for downstream use, contributing to data modelling, analysis, and the broader development of the data platform such that the enterprise is provided with a trusted and reliable data … data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python) Develop data sets which are optimised for their given use case, e.g. self-service analytics Migrate data from legacy reporting solutions onto the Azure Data Platform, ensuring that data integrity and service levels are maintained ...

data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworks Exposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use cases Experience in pharmaceutical, life sciences, or highly regulated industry environments Familiarity with validated system environments (GxP, 21 CFR Part 11) is a plus ...

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 ...

channel across all brands. DUTIES & RESPONSIBILITIES Automation & AI Delivery Support the end-to-end identification, prioritisation, development, and deployment of automation and AI use cases across the business Proactively identify opportunities to reduce manual processes, improve efficiency, and enhance scalability through automation and AI-driven solutions Design, build ...

policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/ ...

production environments. Key Responsibilities Design and deliver GenAI solutions including LLM/RAG (retrieval strategy, embeddings, vector stores, prompt flows, grounding) for enterprise use cases. Evaluate and improve solution quality using offline/online metrics (quality, latency, cost) and iterate based on feedback. Harden solutions for production with ...

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 ...

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 ...

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 ...

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 ...

Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced analytical use cases LLMs and Agentic AI BI tools such as Tableau/Power BI Other desirable skills and experience Strong stakeholder management Building projects ...

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 ...

kickoff and onboarding through to measurable scientific outcomes, with an adoption plan for each team and use case. Run use case workshops that turn research problems (target identification, safety assessment, competitive intelligence, literature synthesis) into prioritised use cases. Grow active and chargeable users ...