Associate Machine Learning Engineer

Company Description

We are ASOS. We combine our passion for fashion with our interest in cutting-edge technology, but most importantly, we're curious about how we can bring out the best in you.

We exist to empower people to confidently be themselves, and that applies to our team as well. At ASOS, you're encouraged to be your authentic self without judgment, and channel your creativity into a platform used by millions.

Through our , we're promoting diversity, equity, and inclusion in every facet of ASOS and ensuring that every member of our team can be their true selves at work. We want our employees to be who they want to be, as we believe that people who bring their best selves to work do their best work.

Job Description

About the Role

We are seeking an Associate Machine Learning Engineer to join our team and play a critical role in helping ASOS offer the best shopping experience to our millions of customers. This role provides wide exposure to ASOS, requiring close collaboration with our retail, marketing, and technology departments. You will be part of a highly innovative AI platform, partnering with data engineers and machine learning scientists to tackle and operationalise complex and challenging problems by leveraging cutting-edge technology. As an online-only retailer at ASOS, we have unique datasets -transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.

We are looking for an ideal candidate with a strong technical background and experience in dealing with large datasets. You should be a highly intelligent, self-motivated individual, able to work independently with a keen eye for detail.

What You’ll Be Doing

• Building and enhancing internal and external facing data products as part of a cross-functional team
• Driving the implementation and scaling up of algorithms for measurable impact across the business
• Deploying batch/online machine learning models at the scale that ASOS operates
• Creating tools, frameworks, and infrastructure that expedite the delivery of our ML products and optimize our operations
• Participating actively in our AI platform to establish ML Ops standards and maintain quality across our portfolio
• Supporting our culture by promoting diversity, equity and inclusion strategies

Qualifications

Who We’d Like to Meet

We would love to meet someone with…

• A degree in Computer Science, Machine Learning, or similar field
• Practical experience in building, deploying, and maintaining machine learning models at scale using Python, Scala, .NET, or similar languages
• Comfortable working with at least one machine learning framework (example: TensorFlow, PyTorch, XGBoost, scikit-learn, etc.)
• Experience in accessing and combining data from various sources and building data pipelines in a cloud environment, especially large scale data computation technologies like Apache Spark
• Strong understanding of software development life cycles, engineering practices (data pipelines, API workflows, CI/CD, containerization), specifically ML Ops principles, techniques, and tools
• The capacity to work collaboratively and proactively in a fast-paced environment with both scientists, engineers, and non-technical stakeholders
• Familiarity with the retail, marketing, or e-commerce industry is an advantage

Additional Information

What’s in it for you?

• Employee discount (an attractive ASOS discount!)
• ASOS Develops (personal development opportunities across the business)
• Employee sample sales
• Access to an extensive range of LinkedIn learning resources
• 25 days paid annual leave, plus an extra day for your birthday
• Discretionary performance-linked bonus scheme
• Private medical care scheme
• Flexible benefits allowance – which can be taken as extra cash or used towards other benefits

Our Commitments

We want our team to freely be themselves. That’s why we’re devoted to establishing a genuinely inclusive culture at ASOS, but how are we doing that? We're proud members of Inclusive Companies, are committed to being Disability Confident and have signed the Business in the Community Race at Work Charter. We've also recently been ranked 8th in the Inclusive Top 50 Companies Employer List.

We have several staff networks that serve as safe places, which support and celebrate our team. You can find out more .

Our Talent team is prepared to assist you in being your best self. If you need additional time to prepare for an assessment or if you have requirements for any stage of the interview/hiring process, simply let us know via email or phone, whichever works best for you. We interview all candidates with a disability who meet the minimum criteria for the roles they have applied for.

If you have any questions about the policies we have in place to support our employees (e.g., our approach to parental leave), feel free to reach out to our Talent team.