1 to 25 of 45 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 ...

solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing ...

Splunk Enterprise Admin and development. You will be proficient in Splunk Enterprise Security (SIEM) - administering, managing, and maintaining SIEM. Experienced in developing use cases/correlation searches. You will be proficient in data models. Have hands-on knowledge and understanding of Splunk Cloud. Hands-on experience of Microsoft ...

Splunk Enterprise Admin and development. You will be proficient in Splunk Enterprise Security (SIEM) - administering, managing, and maintaining SIEM. Experienced in developing use cases/correlation searches. You will be proficient in data models. Have hands-on knowledge and understanding of Splunk Cloud. Hands-on experience of Microsoft ...

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 ...

teams in adopting Datacore safely and consistently across their development of new data products and services Defining reusable implementation patterns for common Datacore use cases, including ingestion, medallion architecture, data quality, orchestration, semantic modelling and publication Defining and promoting controlled engineering practices across Datacore assets, including source control ...

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 ...

Chem Dev Business Process Network, data and process modelling experts, Enterprise AI, and Lab of the Future teams, you willestablish a robustprioritisationframework for use cases grounded in value, feasibility, risk, data readiness, and change impact. Partnering with scientific, quality, regulatory, data, IT, and compliance stakeholders, you will ensure … that positions AI as a core capability underpinning future scientific excellence. You will chair or contribute to governance forums for AI use case approval and valuerealisation, define success metrics such as cycle time reduction, document quality improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision ...

modelling standards and security best practice. Reducing technical debt and ensuring high availability and stability of data systems. Supporting a wide range of use cases from automated reporting through to machine learning-driven products. Translating complex insight into clear recommendations that influence trading, strategy and product decisions. Identifying ...

data and AI consultancy in central Manchester. The business designs, builds and manages enterprise-grade data platforms, productised on Snowflake, plus the AI use cases built on top. The opportunity The company is adding a technical seat to its go-to-market team. Working alongside the customer success ...

teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns and personalisation Collaborating with data engineers, analysts ...

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 ...

defining the change journey from current to future state data design including completion of change impact assessments and outline of critical use case examples. \n Ensure data within Product Costing & Inventory Data Domains are fit for purpose whilst complying with the S/4 HANA Data Governance … subject matter, with a focus on data (Master Data, Data dimensions/attributes \n Specific experience of Product Costing, Inventory valuation and the use of Material Ledger (involving Inventory valuation) with related integration with the other associated S4 processes. \n Demonstrated background in financial programme deployment activity. ...

Doing Facilitate workshops and engage with stakeholders to understand business needs Define project scope, objectives and business requirements Produce user stories, use cases, process maps and functional specifications Analyse existing business processes and identify opportunities for improvement Create process flows, data flow diagrams and system interaction models Support ...

loop scoring pipelines. Build production observability for AI features: token‐level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution per use case. Wire eval gates into CI/CD promotion paths so quality checks are enforced before release, not just measured after. Turn eval ...

solutions. You will be a senior technical leader within the DA&I team, setting engineering standards, shaping architecture and ensuring we make effective use of Microsoft Fabric and the wider Microsoft data ecosystem. You will work closely with analytics, technology and business teams to move beyond traditional reporting … ensuring solutions are scalable, reusable, secure, maintainable and cost-effective. Develop the platform and data architecture required to support AI and machine learning use cases, ensuring high-quality, accessible and appropriately governed data is available for AI solutions. Enable the development of reusable data products and trusted data ...

technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability to build and scale new teams Passion for AI innovation and keeping up with GenAI ...

Driving engineering standards and best practices, ensuring speed doesnt compromise quality Shaping and delivering AI-first solutions, embedding modern tooling into real-world use cases Supporting and mentoring engineers, helping raise the overall technical capability of the team Collaborating with wider teams to scale prototypes into robust, long ...

technical authority for security automation, orchestration and analytics. Produce system analytics and performance metrics to validate automation effectiveness. Develop and implement new security use cases to enhance SOC efficiency and reduce response times. Ensure all changes follow established change management and governance processes. Conduct peer reviews and quality ...

area, making challenging tradeoff decisions for complex, ambiguous problems Engage with our customers and the market to understand their needs, validate strategy and use cases, and ultimately drive amazing outcomes for our customers Deeply understand the technical reality of our solution, anchoring our go-to-market motions ...

advise on Data Protection Impact Assessments (DPIAs), Privacy Impact Assessments, Legitimate Interest Assessments and Transfer Risk Assessments for new suppliers, systems, products, AI use cases, projects and material changes to processing. Create, maintain and periodically review Records of Processing Activities (ROPAs), data inventories, data-flow maps, lawful basis ...

with responsibility for transforming AI opportunities into practical business solutions. You will work closely with business stakeholders and analysts to identify high-value use cases, rapidly develop proofs of concept, and scale successful solutions into production. This is a foundations role focused on creating scalable, sustainable AI capabilities … primary hands-on AI engineering resource, with technical mentorship from the Automation Manager. The function is expected to grow as successful use cases are scaled and organisational AI adoption increases. The Role The AI Engineer will play a central role in designing, building and operating AI-powered solutions ...

opportunities, design compelling solutions and create clear pathways from initial discovery through to successful delivery. You'll help organisations transform the way they use data, analytics and artificial intelligence, translating business ambition into practical, costed and deliverable solutions. Success in this role requires more than technical expertise. … reporting solutions Data platform modernisation and analytics strategy AI & Automation Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases SQL Python and/or PySpark Data pipelines and transformation frameworks CI/CD concepts and deployment automation Azure DevOps and/ ...

expertise in AI security as the field develops. Key Responsibilities Integration Risk Assessment Lead and perform security and risk assessments across all AI use cases, including new tools, workflows, agentic systems, and platform integrations, assessing each against the company's risk framework. Risk assessing AI integrations requires technical ...

activities Collaborate with engineering, DevOps, and application teams to onboard workloads and improve observability Monitor and assess the performance of dashboards, reports, and use cases using tools and SPL Drive automation and simplification of operational processes Ensure adherence to security, compliance, and audit requirements Contribute to service improvement ...