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 are looking for a 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 big 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.
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
About you:
- An advanced degree in Computer Science, Machine Learning or similar
- Hands-on experience in implementing, deploying and maintaining machine learning models and API's at scale using 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, observability and security) -specifically ML Ops principles, techniques and tooling
- Non-Technical
- Experience of working in an Agile (preferably Scrum) environment
- Experience of working with ALM Improvement
BeneFITS’
- Employee discount (hello ASOS discount!)
- ASOS Develops (personal development opportunities across the business)
- Employee sample sales
- Access to a huge range of LinkedIn learning materials
- 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
Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like
