Top Tech Jobs & Startup Jobs in London

Define and lead the enterprise AI operations model and governance. Own operational performance, monitoring, adoption, reliability, and business value of AI products. Drive cost transparency and optimisation across Azure, Databricks and inferencing. Govern model lifecycle (onboarding, deployment, monitoring, retraining, upgrades, retirement) and lead incident, change, resilience, and responsible AI processes to keep production services secure and compliant.

Support optimisation of product flow across National and Regional Distribution Centres by using data and collaboration to identify constraints, smooth peaks, improve processes and reporting, and support NDC transitions to ensure timely store supply and resilient operations.

Design, develop, and productionise end-to-end ML and GenAI systems (retrieval, ranking, LLM components) to deliver personalised product recommendations. Build evaluation frameworks for LLM outputs, integrate them into experimentation pipelines, collaborate across Product and Engineering, and establish best practices for model development, deployment, monitoring, and continuous improvement.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.

Lead supply planning and supplier collaboration, act as deputy to the Supply and Demand Manager, support product launches, promotions and seasonal planning, measure and improve supplier performance, and partner with internal teams to ensure availability and reduce waste.

Plan and forecast product demand, collaborate with suppliers and cross-functional teams, support launches/promotions, use data/Excel to optimise inventory, champion continuous improvement, and spend time in store to understand customer needs.

Lead international marketplace trading strategy for third-party partners, managing P&L, budgets and forecasting. Build strategic partner relationships, drive sales, margin and performance through data-led optimisation, identify new marketplace opportunities and support cross-functional launches to expand global digital presence.

Lead full lifecycle delivery of cloud-based web features: design, build, test, release, and operate reliable, scalable systems. Own technical direction, convert ambiguous problems into plans, reduce technical debt, and use observability and metrics to ensure performance and health.

As a Customer Data Solution Architect, you will design secure and scalable customer data solutions, providing thought leadership and ensuring compliance with design principles while collaborating across teams to enhance data strategies and analytics capabilities.