Top Tech Jobs & Startup Jobs in London

Analyzes forecasting, inventory, sales, and stock-flow data to improve demand-weighted availability, inventory turns, stock placement, and supply chain performance across retail and e-commerce. Investigates exceptions, conducts root-cause analysis, coordinates backstage stock control, supports store openings, and collaborates with forecasting, inventory, retail operations, and space teams on continuous improvement initiatives.

Designs, builds, and maintains scalable data pipelines supporting data science and advanced analytics. Manages Airflow orchestration and delivers data engineering solutions using Databricks. Collaborates through GitHub, code reviews, and shared engineering standards in feature-led environments. Partners with data scientists, owns delivery outcomes, performs root-cause analysis, and continuously improves pipeline reliability, observability, and maintainability. Exposure to MLOps concepts and tooling is desirable.

Leads the M&S Cloud Platform engineering team building AI engineering platforms, reusable pipelines, tooling, plugins, frameworks, and developer self-service capabilities. Responsibilities include technical strategy, platform ownership, architecture, DevOps, reliability, vendor management, recruitment, talent development, and line management of senior engineers. The role contributes code while driving engineering excellence, operational reliability, strategic alignment, and improved developer experience across more than 200 engineers and 30 applications.

Leads the team building the SRE function and owns its technical vision, platform capabilities, reusable tooling, pipelines, frameworks, and developer experience. Manages senior engineering staff, drives recruitment and retention, aligns technical strategy, oversees reliability and operational excellence, partners with vendors, and contributes hands-on code. The role requires strong SRE, cloud, software architecture, DevOps, testing, reliability engineering, and people leadership experience.

Leads the AI Engineering platform team, setting technical direction and building reusable pipelines, tooling, plugins, frameworks, and agentic workflows. Owns platform reliability, developer experience, production operations, vendor partnerships, technical strategy, and OKRs. Manages Staff and Senior Engineers while driving recruitment, retention, engineering excellence, and cross-functional alignment. The role requires hands-on software development, AI coding expertise, cloud and system architecture knowledge, DevOps practices, testing, reliability engineering, and strong people leadership.

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.

Lead financial services transformation initiatives, deliver reporting, forecasting, and budgeting, and provide commercial financial guidance to stakeholders. Monitor performance, risks, and opportunities while ensuring compliance with internal controls, regulatory requirements, and audit standards. Partner with commercial, finance, digital, technology, and external teams, and support finance-team training and development across London and Manchester.

Leads the design, development, deployment, and governance of scalable Data and AI solutions using Databricks, Microsoft Foundry, and Azure. Defines AI technology roadmaps, mentors engineering teams, identifies high-value business use cases, prototypes and scales AI products, and ensures secure, ethical, enterprise-integrated implementations.

Lead the vision, strategy, and roadmap for a commercial data orchestration platform supporting Product, Suppliers, Sustainability, Planning, Buying, and Merchandising. Partner with Engineering, Architecture, and senior stakeholders to develop APIs, integrations, workflows, and scalable platform capabilities. Drive adoption, reliability, operational excellence, and alignment across multiple business domains while balancing short-term priorities with long-term platform investment.

Manages the Web Platform engineering team, overseeing technical vision, reusable pipelines, tooling, frameworks, developer experience, reliability, and production operations. Leads senior engineers, recruitment, retention, technical strategy, vendor partnerships, OKRs, and engineering excellence. The role combines hands-on software engineering with people leadership, platform ownership, product thinking, and cross-functional influence across customer- and colleague-facing applications.