Top Tech Jobs & Startup Jobs

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.

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 oversight of SAP security and user access controls, develop SAP GRC policies and governance, review role design and SoD risks, perform control testing and risk reporting using data analytics, and partner with Finance, Technology and Audit to support compliance and continuous improvement.

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.

Lead design, development, and production deployment of scalable, secure Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale use cases, and enforce AI governance, security, and ethical practices.

Design and build scalable Azure-based AI platform capabilities (APIs, integrations, model serving) to support Agents, RAG, and LLMs. Produce high-quality technical designs, develop reusable platform components (AI gateways, orchestration services), optimize performance, cost and scalability, and collaborate with architecture, engineering, and product teams to enable enterprise AI adoption.

Build and maintain Power BI dashboards, develop automated data pipelines and reporting solutions in Databricks using SQL and PySpark, support commercial and trading teams, partner with M&S Online stakeholders, present actionable insights, and improve reporting and analytics capabilities.