Machine Learning Engineer

Job Description

ASOS is one of the UKs 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 yourbest 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 crucialto our continued success. Were 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.*About the role:*We are looking for Machine LearningEngineers 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 willbe 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 uniquedatasetstransactions 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 largedatasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.*Responsibilities:** Building and improving internal and external facing data products as part of a cross-functional team* Driving the implementationand 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 deliveryand optimisation of our operations* Taking an active part in our AI platform to establish ML Ops standards and drive quality across our estate***Wed love to meet someone with:** An advanced degree in Computer Science, Machine Learning or similar* Hands-onexperience 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.)* Experienceaccessing and combining data from multiple sources and building data pipelines in a cloud environmentin 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-* Birthday Day off* 25 Days Holiday* Give a day away scheme* Tech development day1 day a month to focus on your development* Onsite Gym* Subside Canteen* Asos discount* Samplesale* Tech Test* Video callPython, Scala, Tensorflow, PyTorch, ScikitPython, Scala, Tensorflow, PyTorch, Scikit, Apache, Spark, APIs, CI/CD