1 to 25 of 91 Use Case Jobs in the North West

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 ...

expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes and by translating complex ...

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 ...

Implement data solutions in a Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with ...

platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where the market is heading right now. Infrastructure: Cloud based (AWS/GCP/Azure, client dependent). What We're Looking ...

opportunities Conducts market research, competitive analysis, and customer discovery to identify market needs, trends, and opportunities Develops detailed product requirements documents (PRDs) and use cases that guide engineering and design teams Collaborates with engineering, design, data science, and marketing teams to ensure successful product development and launch Establishes ...

adoption of AI across the pharmaceutical R&D lifecycle. Key Responsibilities Advise Life Sciences clients on transforming pharmaceutical R&D through the effective use of data, analytics, AI, and automation. Assess current capabilities, identify opportunities for improvement, and develop business-focused strategies and roadmaps that accelerate scientific innovation … value opportunities for AI, advanced analytics, GenAI, and intelligent automation across the pharmaceutical R&D lifecycle. Provide guidance on AI readiness, use case prioritisation, governance, and responsible adoption, helping clients realise business value from emerging technologies while ensuring solutions are built on trusted, compliant, and well-governed ...

Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars Architecting and implementing Generative AI solutions, including RAG pipelines, agentic ...

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 ...

develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model designDrive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timelinePartner with security … want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles ...

Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‐functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real ...

Knowledge Graph experience Experience with Vector Databases, Search or Indexing Strong understanding of data modelling and governance Experience supporting AI, LLM or RAG use cases Nice to have: Enterprise Knowledge Management/Knowledge Base experience Semantic Search Large-scale Search platforms AI/LLM and RAG experience Financial ...

tracking Simplification and Standardization Analytics toolkits and Automation accelerators Design thinking and Agile Scrum Approach Program management and functional know how of the use cases Assessment framework on DevOps model of working Essential: 10 to 12 years of relevant experience in data & analytics At least 8 years ...

data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation, data management use case identification, AI governance or Responsible AI frameworks. Understanding of model lifecycle management, bias detection and explainability. Familiarity with DMBOK framework. Data management ...

experience evaluating and implementing AI-powered solutions within enterprise technology environments, including engineering productivity tooling, intelligent automation, operational analytics, or GenAI/LLM use cases. Strong SDLC knowledge ( Agile/Waterfall) alongside CI/CD, DevOps practices, automated testing, and release management. Excellent communication skills with the ability ...

pace and complexity of real business operations. As a Project Manager you will: Lead the execution of customer projects, ensuring successful delivery of use cases within agreed timelines and scope. Act as the bridge between technical teams, customers, and internal stakeholders, ensuring alignment on objectives, milestones, and outcomes. … pods, data scientists, engineers, and business analysts, to deliver solutions. Track progress, identify risks early, and implement mitigation strategies Customer Engagement & Use Case Implementation Work closely with customers to understand their business challenges and map solutions to their needs. Translate customer use cases into actionable ...

Design and run end-to-end benchmarking workflows from understanding client use cases through generating business-ready insights Build scalable evaluation frameworks, metrics and pipelines Review academic literature to ensure evaluation strategies reflect leading research and best practice Develop, maintain and improve experimentation infrastructure Ensure robustness and production ...

building scalable data ingestion and transformation pipelines across multiple enterprise data sources. Developing solutions that support AI, search, analytics and knowledge management use cases. Building and maintaining knowledge graph capabilities to model relationships across complex business data. Enhancing enterprise search and indexing performance to improve information discovery ...

prioritise high-value AI and automation opportunities Map current processes and design future-state, AI-enabled workflows Translate business challenges into AI use cases, requirements, user stories and success measures Work closely with Engineers, Data, Security and business teams to develop safe, scalable AI solutions Support POCs, pilots ...

problems and deliver measurable outcomes. Work with client stakeholders to understand business challenges and user needs, translating these into practical data and AI use cases, products and solutions. Support the prioritisation and delivery of AI use cases based on business value, feasibility and user needs, applying … work with AI-ready data platforms, data products and analytical solutions, ensuring data is accessible, fit for purpose and ready to support AI use cases. Support data quality, governance and the application of Responsible AI, security, privacy and compliance principles throughout delivery. Contribute to scalable data ...

working within either: public sector using Government Digital Service (GDS) standards, or private sector (retail, financial services or energy). Ability to communicate use cases and benefits of generative AI, and the risks and challenges of its implementation. Demonstrated experience of owning a product vision and a supporting ...

working within either: public sector using Government Digital Service (GDS) standards, or private sector (retail, financial services or energy). Ability to communicate use cases and benefits of generative AI, and the risks and challenges of its implementation. Demonstrated experience of owning a product vision and a supporting ...

squad spanning engineering, data, and design to build a centralised health data layer, including data ingestion, standardisation, APIs, and access patterns. High-Value Use Cases: Identify and prioritise platform capabilities that power personalised digital health journeys, clinical decision‐making, and preventative care pathways across the entire business. Governance ...

e.g. SWIFT, SEPA) Comfortable working with technical specs, including APIs and XML files Experience using tools such as Jira, Visio, Excel, UML/use cases Knowledge of payment schemes and processing (Faster Payments, Bacs, cards, etc.) Excellent communication and stakeholder management skills A proactive problem-solver who thrives ...

external regulations (e.g., AI regulation, data privacy, etc.). Translate regulatory and ethical requirements into clear, pragmatic, and scalable enterprise standards covering use cases for data and AI. Design, build, or partner to successfully embed associated controls for Data & AI into business processes, platforms, and tooling, with ...