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- Tasks: Join a dynamic team to build and enhance machine learning systems for fashion discovery.
- Company: ASOS, a leading fashion retailer focused on innovation and customer experience.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days of annual leave plus a bonus day.
- Other info: Mentorship opportunities and a collaborative culture for career growth.
- Why this job: Make a real impact in the fashion industry with cutting-edge ML technology.
- Qualifications: Deep learning expertise and experience in production machine learning environments required.
The predicted salary is between 70000 - 90000 £ per year.
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’ ML community, while sharing expertise gained from the team.
Qualifications:
- We are looking for a Senior Machine Learning Engineer, with expertise in deep learning to join our cross‑functional Outfits Discovery team.
- Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use.
- Experience working with deep learning and distributed computing frameworks to support large‑scale models.
- Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise.
- A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling.
- Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS.
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 Engineer (Recommendations) employer: asos.com Ltd
Contact Detail:
asos.com Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (Recommendations)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at ASOS. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repo showcasing your machine learning projects. This is your chance to demonstrate your expertise in deep learning and production settings.
✨Tip Number 3
Ace the interview by being ready to discuss real-world applications of your work. Think about how you've tackled challenges in deploying ML models and be prepared to share those stories.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Senior Machine Learning Engineer (Recommendations)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your expertise in deep learning and any relevant projects you've worked on, especially those involving production settings.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and fashion. Share specific examples of how you've implemented ML solutions in the past and how you can contribute to our mission at StudySmarter.
Showcase Your Technical Skills: Don’t shy away from detailing your technical prowess! Mention your experience with distributed computing frameworks, CI/CD practices, and any MLOps tools you've used. This will help us see how you can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at asos.com Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially deep learning techniques. Be ready to discuss how you've applied these in production settings and share specific examples of projects where you've deployed models at scale.
✨Showcase Your Coding Skills
Since you'll be improving code and technology, be prepared to demonstrate your coding abilities. Bring along examples of your work or be ready to solve coding challenges that reflect the software development lifecycle and engineering practices relevant to the role.
✨Be a Team Player
This role involves mentoring and collaborating with others, so highlight your experience in team settings. Share instances where you've supported junior members or contributed to team initiatives, showcasing your ability to drive quality and technical direction.
✨Understand the Business Impact
ASOS is all about creating measurable impact, so come prepared to discuss how your work in machine learning can enhance customer experiences. Think about how your algorithms can influence pricing and customer targeting, and be ready to articulate this during the interview.