Jobs at ASOS

Lead the architecture and production delivery of large-scale machine learning systems for personalized recommendations, search relevance, AI Stylist experiences, and fashion discovery. Set technical direction across recommendation, retrieval, deep learning, LLM, and MLOps initiatives; translate research into reliable customer-facing products; mentor senior engineers; influence multiple teams; and drive engineering standards, scalability, observability, and responsible AI adoption.

Build and operate production machine learning systems supporting customer engagement, marketing, pricing, personalization, and commercial decision-making. Own data ingestion, feature engineering, deployment, monitoring, and optimization across the ML lifecycle. Develop reusable MLOps tooling and infrastructure, influence architecture, partner with Applied Scientists and Data Engineers, and mentor engineers while delivering scalable solutions with measurable customer and business impact.

Analyze vulnerabilities, misconfigurations, identity weaknesses, cloud risks, exposed assets, and attack paths across ASOS’s technology estate. Use threat intelligence, exploitability, and business context to prioritize remediation, partner with engineering teams, validate risk reduction, track significant exposures, improve security controls, and communicate actionable cyber-risk insights to technical and non-technical stakeholders.

Activates ASOS’s employer brand and EVP across the employee lifecycle through campaigns, content, communications, recruitment marketing, employee advocacy, and careers-site optimization. Partners with People Experience, Internal Communications, Talent, Brand, Creative, agencies, and business stakeholders. Develops toolkits and activation materials, analyzes campaign performance, manages external partners, and supports inclusive employer-branding initiatives, budget tracking, and stakeholder engagement.

Designs and builds Azure-based data platform capabilities supporting large-scale data engineering, machine learning, and analytics workloads. Develops high-performance pipelines with Python, Scala, Spark, and Databricks; improves reliability, observability, data quality, scalability, and cost efficiency; creates reusable tooling and engineering standards; partners with data scientists and ML engineers; contributes to architecture, technical direction, mentoring, and platform practices.

Leads ASOS’s SEO and GEO strategy across technical SEO, content, digital PR, and LLM discovery. Owns organic growth, search visibility, measurement, roadmaps, and SEO requirements for site architecture, crawlability, indexation, and product development. Manages technical and content SEO teams, agencies, and senior stakeholder relationships while partnering with Product, Engineering, Marketing, UX, Editorial, and Commercial teams across international markets.

Build and scale shared AI platform capabilities on Azure, with emphasis on agentic AI runtimes, orchestration, tool integration, LLMOps, AgentOps, governance, observability, and reliability. Develop reusable templates and reference implementations, secure model and enterprise-tool access, support lifecycle evaluation and CI/CD practices, and establish cost-aware, production-ready patterns for AI agents. Partner with product, cloud infrastructure, security, and engineering teams to enable safe, scalable enterprise AI adoption.

Build and maintain scalable iOS applications for ASOS customers worldwide. Develop high-quality, tested features using Swift and modern iOS technologies, collaborate with product, design, and engineering teams, and contribute to application quality, performance, accessibility, maintainability, and platform evolution. The role involves working in agile teams, supporting technical discussions, improving engineering practices, and developing experiences across iPhone and iPad.

Leads and grows ASOS’s AI engineering team, setting technical direction and engineering standards while remaining hands-on. Designs, builds, deploys, and supports production agentic AI and automation solutions integrated with finance and commercial systems. Owns delivery, operational readiness, monitoring, incident response, stakeholder engagement, and benefits tracking. Requires experience with agent frameworks, LLMs, automation, cloud deployment, software or data engineering, and engineering leadership.

Design and lead the creative direction for Topshop’s tailoring category, developing trend-led collections across tailored separates and wardrobe essentials. Research trends, create seasonal concepts, colour palettes, fabrics, silhouettes and styling, and produce design packs, CADs and technical briefs. Collaborate with buying, product development, technical, supply chain and suppliers to deliver commercially successful products. Own fit and silhouette direction, present concepts to stakeholders, and use market and customer insights to improve category performance.

Manage indirect tax compliance across UK, EU, US, and other jurisdictions, including VAT, sales tax, OSS/IOSS, and Intrastat filings. Support audits, tax risk management, reconciliations, legislative monitoring, stakeholder advice, process improvements, automation, reporting dashboards, and external advisor management. Provide technical VAT guidance to commercial, supply chain, finance, product, and technology teams.

Owns solution design, configuration, quality, governance, and ongoing support for Dynamics 365 Supply Chain modules. Leads data migration, integrations, testing, process optimization, automation, stakeholder engagement, training, and people management. Partners with Finance and Technology teams to align end-to-end processes and ensure stable, scalable, compliant supply chain operations.

Leads ASOS consumer public relations and events, setting creative direction across fashion, lifestyle, and cultural media. Owns editorial press strategy, gifting, press office activity, experiential events, cultural relevance, and cross-functional brand alignment. Builds and develops the Consumer PR team while maintaining strong relationships with journalists, editors, and stylists. Balances creative ambition with strategic focus, commercial priorities, and accountable delivery.

Lead complex digital creative projects from conception through delivery, managing plans, budgets, resources, approvals, dependencies, risks, and stakeholder communication. Manage and develop junior Creative Project Managers through coaching, performance conversations, and career planning. Improve project processes, resolve escalated issues, and support efficient delivery of creative content across mobile, desktop, email, advertising, social, and app platforms.

Own ASOS’s enterprise experimentation capability, including strategy, governance, measurement standards, platform health, data quality, statistical methodologies, and AI-enabled workflows. Lead Optimizely strategy and vendor management, establish experiment launch and review processes, improve statistical validity, and build organizational capability through training and champion networks. Partner across Product, Engineering, Analytics, Trade, and Data to improve experiment reliability and connect outcomes to commercial value.

Design, deploy, optimize, and operate large-scale machine learning systems for personalized recommendations, search, outfit discovery, and AI-powered fashion experiences. Partner with scientists, engineers, and product managers to productionize deep learning models, improve scalability and observability, contribute to architecture decisions, develop shared ML capabilities, and mentor engineers.

Develop and deploy scalable machine learning models and intelligent systems for ASOS business domains. Responsibilities include applying ML, statistical, and optimization techniques; designing experiments and evaluation frameworks; partnering with engineers to productionize models; collaborating with product and business stakeholders; exploring research approaches; and contributing to technical direction, code quality, and MLOps best practices.

Build behavioural data models, analytics pipelines, event contracts, semantic models, and data quality controls in Databricks. Partner with product and engineering teams on frontend instrumentation, experimentation tracking, identity resolution, and trusted metrics for reporting, self-service analysis, and AI-assisted workflows.

Design, build, deploy, and operate large-scale machine learning systems for search, ranking, recommendations, and personalisation. Develop batch and real-time models, improve production reliability and engineering practices, collaborate with scientists, engineers, and product managers, and mentor other engineers. Contribute to technical direction and machine learning standards across ASOS.

Design, build, deploy, monitor, and optimize production machine learning systems for personalization, recommendations, product ranking, and AI-powered styling. Develop batch and real-time models at scale, collaborate with applied scientists, software engineers, and product partners, and contribute to MLOps tooling, engineering best practices, and shared machine learning platforms.