Associate Machine Learning Engineer London, England
Job description
We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.
We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions.
Through our Fashion with Integrity strategy we are driving diversity, equity and inclusion across every aspect of ASOS and ensuring every ASOSer can be their authentic self at work. We want our people to be whoever they want to be, because we believe people who bring their best selves to work, do their best work.
About the Role
We are looking for an Associate Machine Learning Engineer 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
- Supporting our culture by championing Diversity, Equity & Inclusion strategies
Who We’d Like to Meet
We’d love to meet someone with…
- A 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
Additional Information
What’s in it for you?
- 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 day for your birthday
- Discretionary performance related bonus scheme
- Private medical care scheme
- Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
Our Commitments
We want our people to be whoever they want to be. That’s why we’re committed to creating a truly inclusive culture at ASOS, but how’re we doing it?
We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter. We’ve also recently been placed 8th in the Inclusive Top 50 Companies Employer List too.
We have several employee networks that operate as safe spaces, to help support and celebrate our people, find out more here.
How can we support you to be your best self? Our Talent team will be happy to provide support e.g. if you need additional time to prepare for an assessment or you have requirements for any part of the interview/hiring process - just let us know by email or phone, whatever works best for you. It’s also our policy to interview all candidates with a disability who meet the minimum requirements for roles they have applied to.
If you have any questions about the policies we have in place to support our employees (e.g. our parental leave approach), just let our Talent team know.
