26 to 50 of 408 Use Case Jobs in the UK

Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You will set technical direction, drive standards, and ensure high-quality execution across the team. You’ll join at a pivotal stage ...

technology change across Agile and/or Waterfall environments Understanding of data, systems integration and SDLC best practice Awareness of AI/automation use cases within financial services preferred SQL and general systems knowledge beneficial Why This Role High-impact role within a front-office aligned technology function ...

with customers to understand problems, define objectives, and shape solutions · Facilitate workshops and structured discovery sessions · Translate business and operational challenges into analytical use cases · Define high-level solution approaches, working with technical teams to deliver · Support the development of proposals, scopes, and estimates · Ensure high-quality delivery ...

confidently own and extend the platform Designing and implementing robust data pipelines, modelling approaches and integration patterns to support analytics, reporting and operational use cases Establishing engineering standards, documentation and processes to support long-term maintainability and future team growth Providing guidance, coaching and leadership to colleagues ...

people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities Work within the team and research ...

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 ...

following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability of the cloud data warehouse. Embedding data quality, observability and governance controls. Providing guidance and mentorship ...

analytics. Working closely with data engineers and ML engineers, you will ensure data is well-structured, accessible, secure, and scalable for AI use cases. Key Responsibilities Design and maintain data models and schemas (relational, graph, time-series) aligned to AI and business needs. Define scalable data storage architectures ...

following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability of the cloud data warehouse. Embedding data quality, observability and governance controls. Providing guidance and mentorship ...

following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability of the cloud data warehouse. Embedding data quality, observability and governance controls. Providing guidance and mentorship ...

records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will ...

Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will ...

Full Stack Commerce Engineer Manager, you will : Lead Client-Facing Engagements : Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions : Design and build ...

management team. Providing both functional and technical expertise to the Technology teams in producing detailed requirements documentation (e.g., detailed process maps, use case specifications, wireframes, logical data models), facilitating workshops with the business utilising a variety of business analysis methods. About You Ideally, you will be someone … Agile and Waterfall methodologies. Expertise in eliciting, analysing, communicating and documenting business and solution requirements using a range of BA techniques (e.g. wireframes, use cases, data models) Skilled in developing and using operating models and business processes, including BPMN 2.0 Excellent stakeholder management and facilitation skills, able ...

business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories … ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation ...

complex AI programmes, combining deep technical expertise with strong commercial awareness. Key responsibilities Engage senior stakeholders to define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead ...

emerging agentic systems . You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful AI use cases at scale. Key Responsibilities Build, deploy, and optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design ...

working closely with stakeholders Act as the subject matter expert for your product area, with a strong understanding of APIs, workflows, and client use cases Turn complex client needs into clear, well-defined product requirements, epics, and user stories Work closely with engineering and data teams to clarify ...

practices across regions Drive adoption of modern data platforms, data lakes, data warehouses, and analytics solutions Enable AI, machine learning, and advanced analytics use cases through strong data foundations Act as a senior stakeholder advisor, influencing data strategy across business units and regions Lead and develop a high ...

solutions. Key Responsibilities: Define and execute the AI product strategy aligned with business goals and regulatory requirements in wealth management. Identify high-impact use cases for AI/ML, such as portfolio optimization, personalized client insights, risk profiling, and automation of advisory workflows. Collaborate cross-functionally with engineering ...

teams to support data replication, ingestion and reliability Improve access to and usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core ...

teams to support data replication, ingestion and reliability Improve access to and usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core ...

teams to support data replication, ingestion and reliability Improve access to and usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core ...

teams to support data replication, ingestion and reliability Improve access to and usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core ...

teams to support data replication, ingestion and reliability Improve access to and usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core ...