76 to 100 of 1,652 Use Case Jobs in England

implemented by development teams.Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases.Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products.Support the Data Integrity & Operations team ...

implemented by development teams.Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases.Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products.Support the Data Integrity & Operations team ...

other vendor platforms.· Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement.· Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights.· Drive adoption and change management, including training, communications, and user readiness activities.· Establish governance ...

other vendor platforms.· Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement.· Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights.· Drive adoption and change management, including training, communications, and user readiness activities.· Establish governance ...

other vendor platforms. Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance ...

best practices Design scalable Databricks Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold) Create enterprise-wide data models supporting Finance, Analytics and Reporting use cases Design and implement reusable Data Engineering Frameworks and Solution Accelerators Develop metadata-driven ingestion, transformation and orchestration frameworks Define governance, lineage, security ...

ready.Role PurposeAs a Senior AI Engineer, you will design, build, and run production-grade AI solutions, working end-to-end from use case definition through to deployment, monitoring, and continuous improvement. You will combine strong engineering discipline with applied machine learning expertise, ensuring solutions are robust, scalable ...

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 safe exposure ...

leadership review.AI Adoption Support• Collaborate with the architecture team to define and advance the AI adoption agenda, including AI training programs, use-case assessments, and trend analysis.• Conduct evaluations of emerging AI tools and technologies, performing hands-on testing and analysis to provide informed recommendations for adoption. ...

ensuring that data solutions and integrations are designed and delivered for scalability and business impact. Driving ongoing proactive client ideation — identifying new opportunities, use cases, and data-driven initiatives that help clients grow their business. Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data ...

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 ...

APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, CloudFront ...

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 ...

working for data architecture, DataOps, and governance. Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases. Bridge Data Science & Cloud Engineering Act as the primary interface between data science and cloud engineering teams. Translate analytical and ML needs into ...

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 ...

APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, CloudFront ...

APIs and service interfaces. Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases. Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, CloudFront ...

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 ...

offering.WHAT YOU'LL DOLead AI strategy engagements, discovery workshops, and maturity assessments with enterprise clients across EMEADefine AI roadmaps and prioritised use case portfolios, anchored in business case and ROIDesign (together with technical experts) and advise on data science and generative AI solutions for complex business ...

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 ...

third-party vendors to shape AI solutions from initial concept through to implementation and business adoption. Key Responsibilities Business Analysis & AI Use Case Development Work proactively with business stakeholders to identify opportunities where AI, automation and analytics can improve business processes, decision making and operational efficiency. Facilitate … initiatives align with data protection legislation, information security policies, privacy requirements and wider regulatory obligations. Promote best practice around responsible and effective use of business data within AI solutions. Stakeholder Management & Business Change Build strong relationships with stakeholders across business functions, technology, data. Lead workshops, working groups ...

production monitoring Knowledge of database technologies, preferably including graph databases, and experience combining internal and external data sources to support analytical and modelling use cases Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts in clear, accessible language and present compelling insights ...

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 ...