1 to 25 of 29 Use Case Jobs in the North West

private sector organisations. There's a clear commitment to investing in people, whether that's learning new technologies, gaining exposure to modern AI use cases or working alongside experienced engineers who are open, supportive and happy to share their knowledge. You will work with: End-to-end data ...

delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring ...

ship models. VP of Data Engineering | Responsibilities: Design, build, and evolve scalable data platforms and pipelines that enable AI and ML use cases in production Act as a senior hands-on engineer within an agile POD, contributing directly to delivery day-to-day Partner closely with data scientists ...

programmes, including legacy modernisation, platform migration, and operating model change • Design and delivery of AI, ML, and advanced analytics solutions, from use case development through to deployment and industrialisation • Cloud-native data platform build and transformation across Azure, AWS, and GCP, including architecture, migration, and optimisation • Data ...

Azure. Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from ...

aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration ...

Role Design, build and own end to end data pipelines supporting real time and batch analytics Work on high volume, low latency data use cases with a strong focus on reliability and scalability Develop production grade data solutions using software engineering best practices such as CI/ ...

data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases. What you’ll be doing: Build and optimise data pipelines & ETL processes Contribute to a cloud migration to AWS (S3, Redshift) Develop lakehouse ...

building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. ...

Engineer - Job Description Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their … technical outcomes Key ResponsibilitiesData Engineering & Development Design, build, and maintain scalable data pipelines, datasets, and data models Support analytics, reporting, and AI-driven use cases Work with both structured and unstructured data sources AI & Machine Learning Develop and deploy machine learning models for: Prediction Classification Automation Insight generation ...

product lifecycle from discovery through launch and optimisation • Working closely with engineering, data science and commercial teams • Engaging directly with customers to validate use cases and product direction • Helping shape APIs, integrations and platform capabilities • Supporting go-to-market initiatives alongside sales and marketing • Using analytics, customer insight ...

agentic workflows Develop backend inference services and APIs for production AI systems Productionise new model capabilities and features for real-world customer use cases What we’re looking for Strong experience writing production-grade software for machine learning systems Strong Python engineering skills Experience building low-latency ...

customer-focused models. Take ownership of end-to-end Data Science projects from problem definition through to deployment. Develop and productionise models across use cases such as customer segmentation, lifetime value modelling, demand forecasting, and targeted campaigns. Contribute to the design and evolution of a new Data Science ...

understanding of cybersecurity principles and incident response processes. Experience exposure to red-teaming would be great but not crucial Experience of use case development An understanding of security best practice frameworks (NIST, ISO27001 etc) Good understanding of threat assessment A technical IT background Strong problem-solving skills ...

sharpening messaging, improve output and continuously find smarter ways of working. Key Responsibilities Develop and maintain messaging and positioning across ICPs, verticals and use cases Translate complex treasury and payments capabilities into clear, compelling value propositions Create and maintain sales enablement materials including pitch decks, battlecards, personas ...

coherent and navigable user experience. Develop training materials (e.g. guides, learning pathways, walkthroughs and scenarios) that are directly applicable to Teaching and Learning use cases. Collaborate with the HCD Consultant to translate user research insights into effective content and learning experiences. Work with the Academic Lead to ensure ...

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 ...

embedding pipelines Ensure solutions are scalable, secure, and production-ready Implement monitoring, evaluation, and guardrails for LLM outputs Collaborate with stakeholders to translate use cases into technical solutions Stay up to date with emerging trends in LLMs, GenAI, and AI tooling Experience Required Strong commercial experience (typically … needed] What's on Offer Opportunity to work on cutting-edge GenAI and LLM projects High-impact role delivering real-world AI use cases Flexible working arrangements Competitive day rate with strong extension potential Apply Now If you're a skilled LLM/Generative AI Engineer looking ...

builds and manages enterprise-grade data platforms, productised as a managed-service offering built on a leading cloud data platform, plus the AI use-cases built on top of them. They work with high-growth and PE-backed businesses that want world-class data infrastructure without world-class ...

code) approaches to deliver the most efficient, maintainable solutions. Develop and maintain triggers, batch jobs, flows and automation across both B2B and B2C use cases. Collaborate with Business Analysts and Solution Architects to translate requirements into technical designs. Participate in code reviews, ensuring adherence to best practice, governor ...

date process documentation Monitor operational risks and escalate issues with recommendations Support the firm's AI and data strategy, including identifying use cases and improvements Work collaboratively across group businesses to ensure effective systems and data alignment Undertake ad hoc duties as required Person Specification Experience … data management, MI reporting and business intelligence tools (Power BI, Tableau or similar) Good working knowledge of SQL and relational databases Experience using case management systems or CRM platforms Experience delivering cross-functional projects with multiple stakeholders Experience managing teams within an operational environment Strong commercial awareness and understanding ...

live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already … concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing ...

Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models … bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research ...

moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live. The Company They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme … Data Science Lead, another Data Scientist, and wider data and commercial teams. Key responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through ...

Data Science Lead and one other Data Scientists. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include: Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting Taking models … with solid SQL capability Experience delivering end-to-end data science solutions, including deployment Exposure to forecasting, statistical modelling or applied machine learning use cases Comfort working in a team that is still evolving its Data Science maturity Clear communication skills and the ability to build credibility with ...