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- Tasks: Join our team to build and improve machine learning systems for fashion discovery.
- Company: ASOS, a leading online retailer with a focus on inclusivity and creativity.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days of annual leave.
- Why this job: Make a real impact in the fashion industry using cutting-edge machine learning technology.
- Qualifications: Expertise in deep learning and experience in production environments required.
- Other info: Be part of a dynamic team with opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. In this role, you will be a senior individual contributor who will be productionising machine learning systems that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities.
What you’ll be doing:
- You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space.
- You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
- You will be deploying batch and online machine learning models at high scale.
- You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
- You will be mentoring and coaching junior members of the team, supporting their technical progress.
- You will contribute to the team’s technical direction, establish ML standards, and drive quality across ASOS’s ML community, while sharing expertise gained from the team.
About You:
- You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments.
- You possess mastery of deep learning frameworks and distributed computing frameworks for implementing large-scale deep learning models.
- You have proven ability to create and manage multi-instance clusters for distributed and parallel training across GPUs, demonstrating proficiency in data and model parallelism techniques.
- You have a strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
- You’re comfortable providing technical leadership, mentoring, and coaching to more than 1-2 junior engineers. You will contribute to wider engineering initiatives across ASOS.
Additional Information:
- 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 Engineer (Outfits) in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (Outfits) in London
✨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 deep learning knowledge. Be ready to discuss your past projects and how they relate to ASOS's mission of enhancing the fashion experience.
✨Tip Number 3
Show off your personality! ASOS values authenticity, so don’t be afraid to let your true self shine during interviews. Share your passion for fashion and tech!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest roles and updates directly from the source.
We think you need these skills to ace Senior Machine Learning Engineer (Outfits) in London
Some tips for your application 🫡
Show Your Passion for Fashion: When you're writing your application, let your love for fashion shine through! Mention how your skills in machine learning can elevate the shopping experience and resonate with customers' personal styles. We want to see your creativity and enthusiasm!
Tailor Your CV: Just like you would style an outfit, tailor your CV to fit the role of Senior Machine Learning Engineer. Highlight your deep learning expertise and any relevant projects you've worked on. Make it easy for us to see how you can contribute to our Outfits Discovery team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that showcases your skills without unnecessary fluff!
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 gives you a chance to explore more about ASOS and what we stand for!
How to prepare for a job interview at ASOS
✨Know Your Stuff
Make sure you brush up on your deep learning knowledge and the frameworks you're familiar with. Be ready to discuss specific projects where you've implemented machine learning models, especially in production environments. This will show that you not only understand the theory but can apply it practically.
✨Show Your Team Spirit
ASOS values collaboration, so be prepared to talk about your experience working in cross-functional teams. Highlight instances where you've mentored junior engineers or contributed to team initiatives. This will demonstrate your leadership skills and your ability to work well with others.
✨Be Ready for Technical Questions
Expect some technical questions related to ML Ops principles, data pipelines, and CI/CD practices. Brush up on these topics and think of examples from your past work that illustrate your expertise. Being able to explain complex concepts clearly will impress your interviewers.
✨Embrace Your Authentic Self
ASOS encourages authenticity, so don’t hesitate to let your personality shine through during the interview. Share your passion for fashion and technology, and how they intersect in your work. This will help you connect with the team and show that you’re a great fit for their culture.
