Careers at ASOS

We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help millions of customers discover complete outfits that reflect their personal style, preferences and the latest fashion trends. Sitting within ASOS's Search & Discovery organisation, the team combines recommendation systems, personalisation, deep learning and emerging AI technologies to create new ways for customers to discover fashion beyond traditional ecommerce experiences. You'll work on large-scale machine learning systems powering personalised outfit recommendations, style discovery and intelligent product experiences across the customer journey. From recommendation and retrieval systems to deep learning and generative AI applications, you'll help bring innovative ideas into production and deliver experiences used by millions of customers. Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. What you’ll be doing: Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences. Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes. Deploy and optimise batch and real-time machine learning models serving millions of customers. Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS. Improve system performance, reliability, observability and scalability across the machine learning lifecycle. Contribute to technical design decisions, architecture discussions and engineering best practices. Mentor and support other engineers through coaching, collaboration and knowledge sharing. Help strengthen technical practices across the team and the wider machine learning community at ASOS. Contribute to the development of shared machine learning capabilities, tools and best practices used across multiple teams. About You We're interested in candidates who bring experience in several of the following areas. We recognise that skills and expertise can be developed through a variety of experiences and career paths. Experience designing, building and deploying machine learning systems in production environments. Strong understanding of machine learning engineering principles and modern software engineering practices. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar. Experience training and optimising models using large datasets and distributed compute infrastructure. Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains. Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management. Experience building reliable, observable and scalable services in cloud environments. Comfortable providing technical leadership and mentoring other engineers. Strong collaboration and communication skills, with experience working in cross-functional product teams. Curiosity about emerging AI technologies and the practical application of LLMs and generative AI in customer-facing products. BeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

We're looking for an Applied Scientist to join the team – whose mission is to build machine learning capabilities that power better decisions, experiences and outcomes across ASOS. You'll work on challenging real-world machine learning problems, developing scalable models and intelligent systems that support a range of business domains. As an Applied Scientist, you'll work alongside data engineers, ML engineers, analysts, product managers and business stakeholders to design, develop and deploy machine learning solutions at scale. You'll have the opportunity to influence both the scientific direction of our ML capabilities and the products they enable. Key Responsibilities Design, develop and deploy machine learning models and data-driven solutions in production environments. Apply machine learning and optimisation techniques to solve complex business problems. Partner with engineers to productionise models and build reliable, scalable ML systems. Design and analyse experiments and evaluation frameworks to measure model performance and business impact. Explore, evaluate and prototype new approaches from both industry and academia. Work closely with product and business stakeholders to identify opportunities where machine learning can create value. Contribute to the team's technical and scientific direction through knowledge sharing, code reviews and collaboration. Help shape best practices in machine learning, experimentation and applied research across the organisation. About You You'll enjoy applying machine learning to large-scale, real-world challenges and translating research into production systems that deliver measurable impact. We'd be particularly interested in candidates who bring experience in some of the following areas: Developing and deploying machine learning models in production environments. Applying statistics, analytics and machine learning techniques to solve complex business problems. Experience in one or more of the following areas: Developing and applying machine learning solutions to solve complex business problems. Building predictive models, intelligent systems or decision-support capabilities using large-scale data. Translating research, experimentation and analytical insights into production-ready solutions. Designing and evaluating models using appropriate performance, business and customer impact measures. Working across the end-to-end machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring. Applying quantitative, statistical or optimisation techniques to support decision-making and product development. Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar. Experience working with large datasets and distributed data processing systems. Strong software engineering practices, including testing, version control and maintainable code. Ability to communicate technical concepts to both technical and non-technical audiences. Curiosity, pragmatism and a willingness to learn, experiment and share knowledge. Experience bringing ML products from ideation through to production. Experience working in fast-paced, product-driven environments. Familiarity with cloud-native ML platforms and MLOps practices. Publications, open-source contributions or evidence of staying current with developments in machine learning and AI. BeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Private medical care scheme Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

We're looking for a Senior iOS Engineer to join our Customer Experience team and help shape the future of one of the UK's most recognisable retail apps. At ASOS, you'll build experiences used by more than 8 million active customers worldwide, delivering features that directly impact how millions of people discover, shop and engage with fashion every day. Our iPhone and iPad apps maintain excellent App Store ratings and are built using modern iOS technologies, including the latest versions of Swift. This is an opportunity to work at genuine scale, solving complex engineering challenges while collaborating with talented product, design and engineering teams. You'll have the freedom to influence technical decisions, contribute to the evolution of our platform, and help create experiences customers genuinely love. What you'll be doing Building and delivering high-quality customer experiences used by millions of customers globally. Developing features using modern iOS technologies and engineering best practices, balancing quality, performance and scalability. Partnering closely with Product, Design and fellow Engineers to shape solutions from idea through to launch. Contributing to technical discussions, architectural decisions and continuous improvements across our iOS platform. Taking ownership of features and services, helping ensure reliability, maintainability and a seamless customer experience. Mentoring and supporting other engineers, sharing knowledge and helping raise engineering standards across the team. Using data, experimentation and customer insights to inform decisions and continuously improve the app experience. Why this role is exciting Your work will reach millions of customers around the world. You'll join a high-performing mobile engineering team with a strong focus on quality and craftsmanship. You'll work with modern technologies and contribute to the future direction of our iOS platform. You'll have real influence over technical decisions, product outcomes and customer experience. You'll help shape the next generation of shopping experiences for one of the world's leading fashion destinations. About you Experience building iOS applications using Swift and the core iOS frameworks Comfortable working with Xcode, Interface Builder and Auto Layout to create responsive user interfaces Understanding of Apple’s Human Interface Guidelines and platform design principles Knowledge of common software design patterns and architecture concepts An interest in writing clear, maintainable code and improving existing codebases Experience building apps that work well across iPhone and iPad screen sizes Familiarity with unit testing and a willingness to contribute to test coverage Experience with UI automation tools, or a desire to learn them BeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

What you’ll be doing As a Senior AI Engineer, you’ll help build and scale AI‑driven solutions that power asos Studios and deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‑performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with Studios, Machine Learning Engineers and Product teams to shape the next generation of AI-powered automation for ASOS Studios. By applying computer vision to product imagery and external visual inspiration, you’ll uncover rich styling signals and combine them with customer insights to create smarter image generation, more engaging shopping journeys and more personalised fashion experiences. Designing and developing AI solutions using LLMs and generative AI, including iterating on prompts and workflows to improve output quality Building and maintaining scalable data pipelines, applying best practices in data preparation to ensure quality and reliability Helping to standardise and reuse AI workflows, making it easier for teams across different domains to build consistently and efficiently Applying MLOps principles to AI systems, including CI/CD, monitoring, model management and feature governance Partnering with Cloud Infrastructure teams to design secure, cost‑effective environments for AI workloads Embedding ethical and responsible AI practices into development, proactively identifying and mitigating bias and risk Fine‑tuning pre‑trained models for specific use cases to improve relevance and performance Designing and contributing to evaluation frameworks for AI models, including automated testing and benchmarking to support ongoing improvement Key Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands-on professional experience in fine-tuning and deploying machine learning solutions end-to-end, with a focus on deep learning for computer vision (e.g Fashion-Clip) Experience with generative AI systems, prompting, retrieval augmented generation (RAG) and fine tuning LLMs Familiar with software development practices including version control, CI/CD, containerization, and monitoring for MLOps Experience in taking projects from inception to production. A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams. Motivated self-starter with a desire to learn, share knowledge, and grow in a fast-paced environment. BeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role