176 to 200 of 2,104 Use Case Jobs in the UK

Prepare and analyse data to support prototype development and testing. * Explore emerging AI technologies, platforms and tools. * Assess new solutions against real business use cases. * Conduct side-by-side evaluations of alternative technologies. * Provide recommendations on future AI capabilities and technology adoption. * Create documentation and handover materials ...

multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend ...

enterprise greenfield projects that have Application development workload as well. Experience of working for customers/workloads in the FSI sector domain with use cases. Experience in building data pipelines integrating with data virtualization tools like Denodo & data governance tools like Collibra. Exposure to SSIS. What ...

secure data pipelines, warehouses, and streaming systems. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs. Collaboration & Delivery Partner with teams ...

designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role youll: Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable … relevant field or equivalent practical experience (Masters highly preferred) Model explainability approaches/tools (e.g. SHAP) where required by use case and governance expectations (desirable) Being open to different points of view is important for our business and the communities we serve. At HSBC, were dedicated ...

designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role you'll: Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable … relevant field or equivalent practical experience (Masters highly preferred) Model explainability approaches/tools (e.g. SHAP) where required by use case and governance expectations (desirable) Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated ...

seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. … healthcare organisation, whether a payer, provider, life sciences company, or health technology platform. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership ...

Cortex XSOAR o Microsoft LogicApps o Similar SOAR/Hyperautomation platforms Experience developing: o Automated investigations o Alert enrichment workflows o Response playbooks o Case management integrations o Analyst productivity tooling AI and Security Operations: * Practical experience implementing AI capabilities within a SOC environment. * Experience evaluating and deploying … Splunk or equivalent SIEM platforms. * Experience with cloud security technologies (Azure, GCP or AWS). * Experience with detection engineering and security use case development. * Experience building automation metrics and measuring operational efficiency. * Familiarity with modern AI platforms including LLMs, AI agents and MCP. Candidates will ideally show ...

build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPC Engage in research and development … tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production EDUCATION Bachelor's Degree ...

spend time in front of customers Decide what we build. You\'ll take a candidate product from problem to validated concept; use case, customer proof points, and the business case for continuing or stopping Ship products in a small squad, setting roadmap and sequencing work required. … translating emerging technologies into real-world customer applications. Experience with AI-assisted coding or prototyping tools; our PMs are builders first and regularly use technology to explore ideas, validate concepts, and accelerate product development. Wondering if you\'re a good fit? We believe in investing in our people ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case* Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team … with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record ...

necessary tradeoff decisions. Team Leadership - Lead and coach a team owning (1) data presentation, dashboards, platform usability; (2) AI feature productization, use-case definition, and rollout; (3) requirements, backlog, and delivery execution (4) data structuring. Set clear expectations and ensure ownership across the team is well defined. … where caution is required - and ensure each AI feature addresses a genuine client need. Customer & Market Discovery - Lead discovery into how clients use automotive data, including benchmarking, trend analysis, forecasting, compliance, and decision support, and translate these insights into product direction. Go-to-Market - Coordinate with sales, marketing ...

engineering tools, cloud-based technologies, and development processes, playing an integral role in shaping the team's technical direction. How will I use AI at Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting architecture … responsibilities of the role? Design, develop, and deploy scalable web applications and services, contributing to web technology and framework stack decisions, use case design, and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high-quality software within tight timelines Partner ...

engineering tools, cloud-based technologies, and development processes, playing an integral role in shaping the team’s technical direction. How will I use AI at Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting architecture … responsibilities of the role? Design, develop, and deploy scalable web applications and services, contributing to web technology and framework stack decisions, use case design, and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high-quality software within tight timelines Partner ...

Large Language Models (LLMs), including commercial and open-source models ("e.g., OpenAI, Gemini, Claude, Llama"), and selecting the right model for use case, cost, and performance constraints Hands‐on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic … protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know ...

complex fintech environment. You’ll work with large, business-critical datasets, owning end-to-end data pipelines that support both operational and commercial use cases within financial services. Key Responsibilities Design, build, and maintain scalable data pipelines using Python and SQL Ingest, transform, and model complex financial datasets ...

compelling cases for investment. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision‐making, and client engagement, taking practical use cases from concept to implementation. Mentor and coach engineers, lead code reviews, and raise the technical capability of the wider team. The knowledge, experience ...

Mistral. Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. Cross-functional collaboration Act as the bridge between customers and Mistral's internal ...

compelling cases for investment. Harness emerging AI capabilities—including Salesforce Einstein and Agentforce—to enhance productivity, decision-making, and client engagement, taking practical use cases from concept to implementation. Mentor and coach engineers, lead code reviews, and raise the technical capability of the wider team. The knowledge, experience ...

across UK teams as a trusted data advisor. – Run discovery sessions and workshops to clarify questions and opportunities. – Translate business needs into data use cases, KPIs, and insight requirements. – Capture business definitions, context, and metric logic in clear documentation. – Convert requirements into technical specs (source-to-target mappings ...

experience as a Technical Analyst, Technical Business Analyst or Systems Analyst. Strong requirements elicitation and documentation skills. Experience producing functional specifications, user stories, use cases and process maps. Strong understanding of system integration concepts, APIs and distributed applications. Experience working closely with software engineering and architecture teams. Good ...

collection process (data ingestion & ETL pipelines) and support initiatives for data integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing ...

operational challenges into actionable insights. Position Summary We seek an innovative and experienced Data Scientist to undertake Machine Learning delivery against signal processing use cases across Metrea, specifically within our internal Decision Science Laboratory and automated Solution Engine. Applicants should be comfortable with deploying operational ML techniques across ...