ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do.

We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.

We are looking for Machine Learning Engineers to join our team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside data engineers and machine learning scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology. At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.

The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.

What you'll be doing...

• Building and improving internal and external facing data products as part of a cross-functional team
• Driving the implementation and scale-up of algorithms for measurable impact across the business 
• Deploying batch/online machine learning models at the scale that ASOS operates
• Creating the tools, frameworks and infrastructure that enables the acceleration of our ML products delivery and optimisation of our operations
• Taking an active part in our AI platform to establish ML Ops standards and drive quality across our estate

We'd love to meet someone with...

• An advanced degree in Computer Science, Machine Learning or similar
• Hands-on experience in implementing, deploying and maintaining machine learning models at scale in Python, Scala, .NET or similar languages
• Comfortable working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, scikit-learn, etc…)
• Experience accessing and combining data from multiple sources and building data pipelines in a cloud environment – in particular large scale data computation technologies like Apache Spark
• Strong understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD, containerisation) – specifically ML Ops principles, techniques and tooling
• The ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers and non-technical stakeholders
• An understanding of the retail, marketing, and/or ecommerce industry is a plus

What's in it for you?

• Truly unique and agile working environment surrounded by a diverse range of passionate experts, with three common interests: our customers, technology and innovation
• Generous salary, bonus and pension-matching, life insurance, free private medical care, cycle to work scheme + much more
• Bespoke flexible benefits scheme catered to your personal needs
• Best in class Learning & Development schemes and career development programmes
• 25 days holiday + never work your birthday again
• Free top-of-the-range onsite gym, plus great value personal training and wellness treatment rooms
• Subsidised canteen facilities with breakfast bar, salad cart, expert chefs and multiple coffee shops
• Tech Develops days – last Friday of the month dedicated to developing yourself and others around Tech including external speakers and exclusive Microsoft training material
• Regular company-wide social events including sports days, charity days, ‘Give A Week Away’ opportunities to visit our charity partners in India, annual celebrations to name just a few
• Huge staff discounts, sample sales and early access to exclusive partnerships”