At a Glance
- Tasks: Design and build machine learning systems for personalised fashion experiences.
- Company: Join ASOS, a leading online fashion retailer with a vibrant culture.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days annual leave.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact on customer experiences using cutting-edge machine learning.
- Qualifications: Experience in machine learning, especially deep learning and recommendation systems.
The predicted salary is between 60000 - 80000 £ per year.
We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers 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 judgement, and channel your creativity into a platform used by millions.
We’re looking for a Senior Machine Learning Engineer to join our cross‑functional Personalisation team. In this role, you’ll help design, build and run machine learning systems that enable customers to discover and shop outfits that reflect their personal style as well as current fashion trends. This is a senior individual contributor role where you’ll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high‑impact use of machine learning.
What you’ll be doing:
- Working as part of an agile, cross‑functional team to build and improve algorithms used in areas such as pricing and customer targeting.
- Collaborating with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds of millions of products and customers.
- Deploying and maintaining both batch and real‑time machine learning models in production environments.
- Improving and evolving our codebase, tooling and platforms, and contributing to the design of new features and capabilities.
- Supporting and mentoring more junior team members, helping them develop their technical skills and confidence.
- Contributing to technical direction, helping define machine learning standards, and sharing knowledge across ASOS’s wider ML and engineering community.
About you:
- Professional experience applying machine learning in real‑world, production environments, with a focus on deep learning techniques.
- Experience working with recommendation or ranking systems (or a strong interest in this space).
- Familiarity with modern deep learning frameworks and distributed computing approaches for training large‑scale models.
- Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this area.
- A solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and tooling.
- Comfortable providing technical guidance, mentoring and support to a small number of less‑experienced engineers.
- Enjoy collaborating across teams and contributing to shared engineering initiatives.
Benefits:
- Employee discount (hello ASOS discount!).
- Employee sample sales.
- 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.
- Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.
Senior Machine Learning Scientist (Personalisation) employer: 慨正橡扯
At ASOS, we pride ourselves on fostering a vibrant and inclusive work culture where creativity thrives and every individual is encouraged to be their authentic self. As a Senior Machine Learning Scientist in our Personalisation team, you'll not only have the opportunity to work on cutting-edge machine learning projects that impact millions of customers but also benefit from a generous employee discount, flexible benefits, and a commitment to your professional growth through personalised learning experiences. Join us in shaping the future of fashion retail while enjoying a supportive environment that values diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist (Personalisation)
✨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge. Be ready to discuss your past projects and how they relate to personalisation. Show us your passion for fashion and tech!
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! ASOS loves teamwork, so be prepared to share examples of how you've worked with others to solve problems or improve processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the ASOS family. Let’s get you that dream job!
We think you need these skills to ace Senior Machine Learning Scientist (Personalisation)
Some tips for your application 🫡
Show Your True Self:When writing your application, don’t hold back! We want to see the real you, so let your personality shine through. Share your passion for machine learning and how it connects to your personal style and creativity.
Tailor Your Experience:Make sure to highlight your relevant experience in machine learning, especially with recommendation systems. Use specific examples that showcase your skills and how they align with our mission at ASOS to enhance customer experiences.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your achievements and how you can contribute to our Personalisation team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at 慨正橡扯
✨Know Your Stuff
Make sure you brush up on your machine learning knowledge, especially deep learning techniques and recommendation systems. Be ready to discuss your past experiences in production environments and how you've applied these skills to real-world problems.
✨Show Your Collaborative Spirit
ASOS values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any experiences where you've collaborated with engineers and data scientists to implement machine learning solutions at scale.
✨Demonstrate Your Mentorship Skills
Since this role involves supporting and mentoring junior team members, think of instances where you've guided others. Share how you've helped less-experienced engineers develop their skills and confidence in a technical setting.
✨Be Yourself
ASOS encourages authenticity, so don’t hesitate to show your true self during the interview. Share your passion for fashion and technology, and how you envision using machine learning to enhance customer experiences. This will help you connect with the team on a personal level.
