1 to 25 of 37 Use Case Jobs in the North West

Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases.* Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric.* Migration & Transformation: Experience ...

products. Working closely with analysts, developers, and business stakeholders, you will build and extend a medallion architecture that underpins reporting, analytics, and downstream use cases. A key focus of the role will be embedding strong data quality controls and supporting clear data quality exception reporting to improve transparency ...

Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: Designing and building scalable data pipelines ...

teams. The Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level ...

Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, production-ready solutions. Key responsibilities: Designing and building scalable ...

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/ ...

role will involve coordinating projects across areas including: Data engineering and data infrastructure Pricing and post‐purchase analytics AI and forecasting (including LLM use cases) Reporting and business intelligence API and integration work across multiple platforms and services What you’ll do Own end‐to‐end delivery ...

from on-prem SQL Server into AWS, contributing to the design of lakehouse and data warehousing solutions that support high-transactional, high-volume use cases. Alongside delivery, you'll help raise standards across the data platform, contributing to shared tooling, best practice, and mentoring more junior engineers where ...

Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling ...

cloud platforms, and enterprise-grade automation in a fast-evolving AI environment. Key Responsibilities Evaluate and select appropriate AI models for different business use cases Design, test, and optimise prompts to ensure reliable, accurate, and safe AI outputs Build and maintain automated workflows using tools such ...

data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform and team ...

manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering ...

platforms and associated detection capabilities Onboard log sources and build scalable log pipelines across multiple environments Create, tune, and improve detection rules and use cases to identify threats quickly Support incident triage, investigations, and response activities Build SOAR-style workflows to improve response speed, consistency, and efficiency Cloud ...

enhance insight delivery * Collaborate with analysts and technical teams to improve data pipelines * Ensure data is structured and prepared effectively for reporting use cases * Deliver clear, actionable insights to support business performance Experience Required * Strong experience in Power BI, SQL and Databricks * End-to-end BI experience (data ...

stack Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar Solid data modelling capability for analytics and reporting use cases Hands-on experience with infrastructure as code, particularly Terraform Comfortable working in scaling environments with evolving data maturity Able to communicate clearly with ...

collaborative and inclusive leadership style that builds trust and momentum across teams Desirable Experience Experience delivering AI-driven products, including predictive or generative use cases Familiarity with machine learning workflows such as experimentation, evaluation, and monitoring Experience making build vs. buy decisions for technology solutions Understanding of responsible ...

consulting Strong commercial mindset, able to identify and develop opportunities Experience running client workshops and shaping programmes of work Good understanding of AI use cases and business value Comfortable engaging with senior stakeholders Collaborative approach, working across sales and delivery teams Nice to have: Experience within a Microsoft ...

implementing AI-first workflows, building intelligent agents, and integrating them into core business systems. The work is varied - ranging from generative AI use cases through to workflow automation and system integration - always with a focus on delivering measurable outcomes. You'll operate as an AI Engineer ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...

programme with approximately 10 15 hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level ...