Top Tech Jobs & Startup Jobs in London

Build and operate ASOS’s endpoint management platform for Windows and Apple devices. Responsibilities include automating configuration and security policy deployment through Intune and Jamf, maintaining patch compliance, packaging applications, developing staged rollout and testing pipelines, monitoring device telemetry, creating service dashboards, supporting joiner-mover-leaver workflows, and evaluating device vendors. The role collaborates with Cyber Security, IT Support, Developer Productivity, Finance, and Procurement to deliver secure, reliable, self-service employee devices.

Build and maintain production machine learning systems for personalization, product discovery, recommendations, and ranking. Develop, deploy, monitor, and optimize models in batch and real-time environments. Collaborate with applied scientists, software engineers, and product teams to productionize models, improve MLOps practices, and support scalable machine learning platforms.

Manage relationships and performance for ASOS fulfilment partner brands. Analyze sales, stock, intake, returns, availability, forecasts, and operational data; lead trading meetings; identify commercial opportunities; coordinate supply chain and fulfilment activities; manage stock lifecycle and return-to-supplier processes; resolve issues; and support growth plans, forecasting, and capacity planning across multiple stakeholders.

Lead ASOS’s skills-based talent strategy, performance management, talent reviews, succession planning, career development, and internal mobility initiatives. Partner with leaders and People teams to identify capability needs, develop skills pathways, improve performance cycles, support calibration, and use people data, Workday, and AI tools to inform decisions. Coach managers, create guidance and toolkits, promote inclusive talent practices, and support diversity, equity, and inclusion strategies.

Build scalable data pipelines, dimensional data models, automated reconciliations, transaction controls, dashboards, and analytics across e-commerce, tax, customs, finance, logistics, and supply-chain systems. Improve data quality, lineage, auditability, and exception detection while exploring automation, machine learning, and AI use cases.

Develop and deploy scalable machine learning models and intelligent systems for ASOS. Apply machine learning, statistics, optimisation, and experimentation to solve business problems, evaluate model and business impact, and productionise solutions with engineering partners. Collaborate with data engineers, ML engineers, analysts, product managers, and stakeholders while contributing to applied research, technical direction, MLOps practices, and knowledge sharing.

Leads and grows an AI engineering team while remaining hands-on with agentic AI and automation development. Owns technical direction, engineering standards, delivery, production operations, monitoring, incident response, and stakeholder engagement. Builds production-ready AI agents integrated with finance, commercial, buying, merchandising, and data platforms using retrieval augmented generation and tool orchestration. Partners with the central AI team to follow governance, measure business impact, and deliver reliable automation.

Leads product analytics for ASOS, using customer funnel analysis, experimentation, A/B testing, dashboards, and statistical methods to guide product strategy and improve conversion, engagement, and retention. Partners with Product Managers and senior stakeholders to define success metrics, identify growth opportunities, translate complex data into actionable narratives, and influence roadmaps. The role also mentors junior analysts and promotes data-driven decision-making and analytical best practices.

Supports the day-to-day trading and optimisation of ASOS websites across devices and markets. Responsibilities include site merchandising, search optimisation, category and navigation management, trade reporting, customer journey analysis, homepage and promotional coordination, campaign launches, and digital product rollouts. The role works cross-functionally to improve onsite experience, commercial performance, and conversion while maintaining website standards.

Build and operate FinOps data platforms, cost pipelines, allocation models, Power BI semantic models, and cloud optimization tooling across ASOS’s Azure estate. Develop production services with Python, Databricks, Azure Functions, Bicep, and CI/CD. Partner with engineering and finance teams on cost attribution, forecasting, guardrails, unit economics, and architecture decisions. Provide technical leadership through design reviews, mentoring, and code reviews while ensuring reliability, security, and compliance.