51 to 75 of 1,156 Use Case Jobs in London

emerging AI technologies, models, prototype new AI capabilities, and run proof-of-concepts. Collaborate with business and technology teams to identify high-value use cases. Drive a culture of innovation through experimentation, knowledge sharing, and continuous learning. Help define best practices, technical standards, and reusable patterns ...

seamless integration across Oracle and third‐party applications. Design and implement Databricks‐based modern data platforms supporting analytics, reporting, and AI/ML use cases. Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability. Lead cloud migration and modernization initiatives, including workload ...

integrating services, and implementing identity flows (OAuth2, tokens).Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.Strong knowledge of IAM, security patterns, governance, and compliance requirements.Preferred ExperienceExperience with Azure API Management or similar API gateways.Exposure to AI governance, model lifecycle ...

regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices ...

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 Qualification EDUCATION Bachelor's Degree ...

build scalable data pipelines to support model training and production with DevOps & MLOpsCustomize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPCEngage in research and development … using appropriate toolsJustify the value of model approaches in business problemsCollaborate 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 productionEDUCATIONBachelor's Degree in Computer Science ...

increasing regulation (GDPR, post-cookie, AI Act)Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable valueHelp clients build the case for investment — developing business cases that resonate at board levelDesign & Modernise Customer Data ArchitectureLead the design and implementation of Customer Data Platforms (CDPs … measurement frameworks that prove the value of AI and data investments to the businessDrive Product & DeliveryDefine and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative deliveryLead workstreams end-to-end, from discovery and design through to implementation and handover — you own the outcome ...

leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors ...

platforms. Desirable Skills Experience within Asset Management, Private Equity, Financial Services or another regulated environment. Exposure to AI technologies, Copilot or Generative AI use cases within analytics. Knowledge of data architecture and modern Microsoft data technologies. Experience implementing governance frameworks and best practices. Understanding of security, compliance ...

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 ...

requirements elicitation through to release.Proficient in conveying complex technology ideas to non-conversant audiences.Very strong analytical and problem-solving skills for developing Product use cases and determining their associated value.Highly experienced team leader that can effectively manage small to medium IT delivery teams.Very strong communication skills and ability ...

leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation.Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job ResponsibilitiesLead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors ...

Ensure all data products, models, and insights are production-grade, governed, monitored, and measured for business value.• Drive high-value data and AI use cases across customer experience, product performance, monetisation, network optimisation, and operational efficiency.• Ensure data capabilities support the needs of global customers operating across multiple ...

spanning RAG, grounding, prompt engineering, and orchestration on a GCP‐first stack. Building and maintaining production ML pipelines and services for non‐GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches). Developing APIs and microservices ...

will: Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build ...

event-driven design, canonical semantic layers. Exposure to AI/ML data requirements and the data modelling implications of analytics and LLM-enabled use cases in asset management. Certifications: DAMA/CDMP, TOGAF, or cloud data certifications (Snowflake SnowPro, Azure/AWS/GCP equivalents). Experience with ...

structured, high-quality materials for governance forums and risk committees.Collaboration & Stakeholder EngagementPartner with risk SMEs, technology teams, and business stakeholders to define analytical use cases and solutions.Drive adoption of data-driven decision-making across OTCRDeliver insights that enable proactive, data-driven decision-making.Promote data literacy and analytical best ...

focus areas: Strategy & Vision: Proven experience in defining and owning organizations AI roadmap aligned with business goals Experience in identifying high impact AAI use cases across functions and evaluating emerging AI technologies for adoption Experience in driving AI-first thinking across the organization. Proven experience in leadership ...

quality materials for governance forums and risk committees. Collaboration & Stakeholder Engagement Partner with risk SMEs, technology teams, and business stakeholders to define analytical use cases and solutions. Drive adoption of data-driven decision-making across OTCR Deliver insights that enable proactive, data-driven decision-making. Promote data literacy ...

experiences and content structures optimised for generative engine discovery and LLM retrieval.Model fine-tuning: experience customising and fine-tuning existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints.AI cost-value analysis, observability, governance, testing and evaluation frameworks ...

expertise. You'll be building and optimising complex SQL transformations at scale, ensuring data is accurate, performant, and trusted across analytics and ML use cases.The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate closely ...

Contribute to data quality improvement, monitoring, and issue resolution activities. Collaborate with wider data teams to support machine learning, predictive analytics, and AI use cases. Follow established deployment, governance, and change management processes. Requirements Experience delivering data engineering solutions within a large-scale or enterprise environment. Strong ...

within complex environments.Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support analytics and AI use cases.Hands-on experience with cloud ecosystems (AWS, Azure or GCP), modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering ...

Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‐scale search and analytics use cases. You will work hands‐on while also supporting and guiding other engineers.About the role: The Search and AI Platform is Elsevier’s agentic data ...

robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling AI-driven workflows and Snowflake Cortex use cases.Self-Service Strategy:Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self-serve insights, while you focus ...