Job Description: 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. Job Responsibilities: 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 Driving the implementation and scale-up of algorithms for measurable impact across the business Taking an active part in our AI platform to establish ML Ops standards and drive quality across our estate Building and improving internal and external facing data products as part of a cross-functional team Job Requirements: An understanding of the retail, marketing, and/or ecommerce industry is a plus Strong understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD, containerisation) – specifically ML Ops principles, techniques and tooling Comfortable working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, scikit-learn, etc…) Hands-on experience in implementing, deploying and maintaining machine learning models at scale in Python, Scala, .NET or similar languages 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 An advanced degree in Computer Science, Machine Learning or similar The ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers and non-technical stakeholders Job Details: Company: Topman Vacancy Type: Full Time Job Location: London, GB Application Deadline: N/A Apply Here careersvite.com
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