Jobs at ASOS

Leads and grows an AI engineering team delivering production agentic AI and automation for Finance, Commercial, Buying, and Merchandising. The role combines people management, technical direction, hands-on coding, architecture, delivery ownership, stakeholder engagement, and operational support. Responsibilities include building integrations, implementing retrieval-augmented generation, establishing engineering standards, managing Azure DevOps delivery, monitoring live solutions, and measuring business benefits.

Supports chemical, animal material, fabric, and sustainability compliance programs across suppliers and third-party brands. Responsibilities include supplier auditing, risk assessments, corrective action planning, chemical surveillance, regulatory reporting, data and tracker maintenance, training support, legislation review, and audit-ready documentation. The role collaborates with retail, fabric, technical, and external stakeholders to improve supply chain compliance and product-related sustainability practices.

Build and scale Azure-based AI platform capabilities, with a focus on agentic AI runtimes, orchestration, tool integration, LLMOps, AgentOps, and GenAIOps. Develop reusable templates and reference implementations, secure enterprise access patterns, lifecycle and evaluation practices, observability, reliability, and cost controls. Partner with product, cloud infrastructure, security, and engineering teams to establish governed, production-ready AI standards and platforms.

Design, build, deploy, and operate scalable batch and real-time machine learning systems for search, ranking, recommendations, and personalisation. Collaborate with applied scientists, engineers, and product managers to deliver production models with measurable customer impact. Improve engineering practices, contribute to technical direction, and mentor other engineers across the machine learning community.

Leads the SOC and Incident Response team, providing technical direction across security monitoring, detection engineering, incident investigation, threat-led analysis, and response operations. Owns detection lifecycle improvements, incident response processes, metrics, training, drills, post-mortems, and threat simulations. Partners with an external MSSP and internal technology and security teams while managing stakeholders, coaching analysts, and guiding responses to complex cyber incidents.

Design, deploy, and operate large-scale machine learning systems for personalized recommendations, search, outfit discovery, and generative AI experiences. Partner with scientists, engineers, and product managers to productionize deep learning models, optimize batch and real-time services, improve reliability and scalability, and develop shared ML capabilities. Provide technical leadership, mentor engineers, and contribute to architecture and engineering best practices.

Leads ASOS’s Styling team, overseeing creative delivery for ecommerce, campaign, homepage, editorial, social, and AI assets. Manages senior, midweight, junior, and freelance stylists; ensures styling quality, budgets, KPIs, SLAs, and operational efficiency. Develops creative guides, leads workshops, supports recruitment and resource planning, collaborates with commercial stakeholders, monitors performance, and drives team development, fashion relevance, and strategic styling improvements.

Design and scale AI-driven solutions for fashion imagery and video, using computer vision, deep learning, generative AI, LLMs, and multimodal processing. Build reliable data pipelines, fine-tune and deploy models, standardize AI workflows, implement MLOps practices, develop evaluation frameworks, and partner with cloud infrastructure and product teams. Promote responsible AI by identifying and mitigating bias and risk while delivering production-ready, personalized shopping experiences.

Lead the creative direction and design strategy for Topshop’s tailoring category. Research trends, develop seasonal concepts, create commercially successful tailoring ranges, and produce design packs, CADs, and technical briefs. Collaborate with buying, technical, product development, suppliers, and supply chain teams on fabrics, fit, quality, cost, and delivery. Analyze performance and customer feedback, present concepts to stakeholders, and champion innovation across tailored separates and wardrobe essentials.

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

Supports the optimisation and delivery of ASOS Customer Care digital products, tools, and journeys. Responsibilities include translating customer and operational needs into product changes, monitoring performance, gathering frontline insight, supporting experimentation, documenting journey flows, contributing to roadmap prioritisation, and helping with rollout, training, and adoption. The role collaborates with Product, Engineering, Technology, and Operations teams to improve efficiency, automation, customer satisfaction, and advisor experiences.

Lead the vision, strategy, and roadmap for ASOS’s enterprise data ecosystem and platform foundations. Define data product requirements, prioritize investments, collaborate with engineering and business stakeholders, and measure product outcomes. Establish data governance, quality, documentation, security, compliance, and ownership standards while enabling analytics, AI, and data-driven decision-making. Champion customer-focused discovery, iterative delivery, innovation, and organizational change across cross-functional Agile teams.

Designs and delivers scalable data solutions on Azure, collaborates with engineers and architects, supports data and telemetry understanding, performs proof-of-concept work, and builds reliable, tested, maintainable systems using CI/CD. The role contributes to agile delivery, engineering standards, data modelling, performance and cost optimization, while developing expertise in modern data technologies.

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

Leads the design, development, evaluation, and deployment of scalable machine learning solutions for complex business challenges. Identifies ML opportunities, researches emerging methods, improves model performance and reliability, creates evaluation frameworks, and writes production-quality code. Partners with engineering, data, product, analytics, and business teams, provides technical leadership, mentors scientists, and communicates recommendations to diverse stakeholders.

Build and maintain production machine learning systems for personalization, product discovery, recommendations, and ranking. Develop, deploy, monitor, evaluate, and optimize models in batch and real-time environments. Collaborate with applied scientists, software engineers, and product partners to productionize experiments, improve MLOps tooling, and support scalable machine learning platforms. Contribute to next-generation recommendation, sequence modeling, outfit generation, and AI-powered styling experiences.

Process accurate, compliant, end-to-end payroll for multiple countries. Serve as an escalation point, deputize for the team leader, train payroll staff, resolve complex queries, monitor legislation, collaborate with Finance, Treasury, Legal, PX, and technology teams, and improve payroll systems through automation and process enhancements.

Supports Legal Counsel and senior legal leaders on commercial matters across marketing, advertising, intellectual property, supply chain, retail, e-commerce, technology, procurement, and consumer issues. Responsibilities include contract drafting and negotiation, advertising compliance, maintaining templates and playbooks, managing legal inboxes, coordinating stakeholders, identifying risks, supporting projects, and delivering legal training across global business teams.

Lead Topman's menswear outerwear and tailoring design, from trend research and seasonal concepts through final product. Develop commercially successful collections, design packs, CADs, technical briefs, and product strategies while collaborating with buying, merchandising, technical, development, marketing, and suppliers. Focus on tailoring, outerwear, fit, construction, quality, fabrics, and customer needs. Analyze performance and feedback to improve ranges, manage category direction, and present concepts to senior leadership.

Supports an in-house Legal team through invoice and supplier management, purchase orders, budget tracking, legal spend reporting, shared inbox administration, contract execution, document management, privacy assessments, compliance tracking, and stakeholder coordination. The role also supports legal post, regulatory correspondence, team onboarding, meetings, and process improvement while handling confidential information.