1 to 25 of 44 Use Case Jobs in the North West

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 ...

language model (LLM) solutions that drive measurable business impact. This role requires hands‐on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply‐chain planning, and commercial transformation, leveraging modern cloud‐based AI platforms. Develop, and deploy ...

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 ...

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 ...

stakeholders to translate requirements into robust technical solutions Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases Act as a senior technical voice within the team, contributing to design decisions and platform direction About You: We are looking ...

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 ...

contributing to data quality, governance and performance optimisation. Responsibilities Design, build and maintain scalable data pipelines and datasets to support analytics and AI use cases Integrate data from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop ...

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/ ...

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 ...

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. ...

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 ...

Required Competencies Proficiency in process and data modelling techniques. Expertise in conducting gap analysis and change impact assessments. Ability to capture requirements using use cases, user stories, and acceptance criteria. Strong documentation discipline, including maintaining requirement traceability. Ability to motivate others and effectively lead change Required Work Experience ...

exploited with maximum efficiency. You can design, write and iterate code from prototype to production-ready, understand security, accessibility and version control, and use a range of coding tools and languages. You can develop code that self-generates documentation. You know about the specific technologies that underpin delivery … respond to new public health issues. You will be involved in the delivery lifecycle from engaging with stakeholders on new initiatives, analysing use cases, developing optimal designs that where possible re-use and extend capabilities, and implement and operate the design. Our teams work collaboratively ...

care More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester ...

Doing Designing and building production-grade ML and data-driven features Working closely with product and engineering to embed AI into real-world use cases Developing and maintaining data pipelines and model workflows Experimenting with and implementing agentic/autonomous AI workflows Contributing across the stack where needed ...

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 ...

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 ...

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 ...