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ASOS is seeking a Senior Machine Learning Engineer to join the Search and Recommendations team, building AI-powered fashion experiences for millions of customers. You will design, deploy and operate production ML systems that power outfit discovery and personalised recommendations.
You will collaborate with ML scientists to deploy deep learning models, optimize both batch and real-time pipelines, and help improve reliability and observability across the ML lifecycle.
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.
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.
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.