Machine Learning Engineer

Company Description

We are ASOS. Our vision is to blend our passion for fashion with cutting-edge technology. More importantly, we are interested in how we can bring out the best in you.

We aim to empower individuals with the confidence to be who they truly are, and that includes our employees. At ASOS, you're free to express your true self without judgement, and channel your creativity into a platform used by millions.

Through our we are promoting diversity, equity and inclusion across every aspect of ASOS, ensuring that everyone can be their authentic selves at work. We believe that when people are true to themselves, they produce their best work.

Job Description

We are seeking a Machine Learning Engineer to join our team, helping ASOS deliver the best shopping experience to our millions of customers. You will be working closely with our retail, marketing and technology departments. You will be part of a highly innovative AI platform, working alongside data engineers and machine learning scientists on challenging and complex problems using leading-edge technology. ASOS, being an online-only retailer, possesses unique datasets - transactions, and click-stream data for millions of customers, and photos, videos, and text descriptions for hundreds of thousands of products.

The ideal candidate will have a strong technical background and experience in solving intricate problems with large datasets. You should be a highly intelligent self-motivated individual capable of working independently and paying strong attention to detail.

Responsibilities

• Developing and enhancing internal and external data products in a cross-functional team
• Implementing algorithms for measurable impact across the business
• Deploying machine learning models at the scale at which ASOS operates
• Creating the tools, frameworks and infrastructure that help accelerate the delivery and optimization of our ML products
• Playing an active role in our AI platform to establish ML Ops standards and ensure quality across our systems
• Promoting diversity, equity & inclusion

Qualifications

We are looking for someone with:

• Advanced degree in Computer Science, Machine Learning or similar
• Hands-on experience implementing, deploying and maintaining large scale machine learning models in Python, Scala, .NET or similar languages
• Comfortable working with at least one machine learning framework (TensorFlow, , XGBoost, scikit-learn, etc)
• Experience with extracting data from multiple sources and building data pipelines in a cloud environment, specifically 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
• Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
• Understanding of the retail, marketing, and/or ecommerce industry is a plus.

Additional Information

Benefits

• Employee discount (ASOS discount)
• Personal development opportunities across the business (ASOS Develops)
• Employee sample sales
• Access to a multitude of LinkedIn's learning materials
• 25 days paid annual leave plus an extra day for your birthday
• Performance-related bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which can be taken as extra cash, or used towards other benefits

Our Commitment

We believe that everyone should be free to be who they want to be. That's why we are committed to fostering a truly inclusive culture at ASOS. We are proud members of Inclusive Companies, have committed to the Disability Confident scheme and have signed the Business in the Community Race at Work Charter. We were recently ranked 8th in the Inclusive Top 50 Companies Employer List.

We have established several employee networks as safe spaces to support and celebrate our employees. You can learn more .

If you require any reasonable adjustments, our recruitment team would be happy to assist in the best way possible. It's also our policy to interview all candidates with disabilities who meet the minimum requirements for the roles they have applied to.

If you have any queries regarding the policies we have in place to support our employees (e.g., our parental leave policy), feel free to contact our Talent team.