At a Glance
- Tasks: Join a dynamic team to build and enhance machine learning systems for fashion discovery.
- Company: ASOS, a leading fashion retailer with a focus on innovation and technology.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days of paid leave plus a bonus day.
- Other info: Collaborative environment with opportunities for personal growth and career advancement.
- Why this job: Make a real impact in the fashion industry using cutting-edge machine learning techniques.
- Qualifications: Experience in machine learning and deep learning, with a passion for mentoring others.
The predicted salary is between 60000 - 80000 £ 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 IC 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.
Qualifications
About You
- 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.
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 (Recommendations) in London employer: 慨正橡扯
ASOS is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to make a meaningful impact in the fashion industry. With a strong focus on personal development, you will have access to tailored learning opportunities and the chance to mentor others, all while enjoying generous benefits such as employee discounts, flexible leave, and private medical care. Located in a vibrant environment, ASOS offers a unique blend of creativity and technology, making it an ideal place for passionate individuals looking to advance their careers in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (Recommendations) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ASOS. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your expertise in machine learning and deep learning.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at ASOS.
We think you need these skills to ace Senior Machine Learning Engineer (Recommendations) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Machine Learning Engineer role. Highlight your deep learning expertise and any relevant projects you've worked on, especially those involving large-scale ML systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about fashion tech and how your background aligns with our mission at StudySmarter. Share specific examples of your work in production settings and how you’ve made an impact.
Showcase Your Technical Skills:Don’t shy away from diving into the technical details! Mention your experience with distributed computing frameworks, MLOps tooling, and any mentoring roles you've taken on. We love seeing candidates who can not only code but also guide others.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at 慨正橡扯
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning techniques and frameworks. Be ready to discuss how you've applied these in production settings, especially with large-scale models. Having specific examples from your past work will really help you stand out.
✨Show Off Your Coding Skills
Since you'll be working on improving code and technology, be prepared to demonstrate your coding abilities. Bring along examples of your previous projects, especially those involving data pipelines and MLOps tooling. This will show that you’re not just a theorist but someone who can get things done.
✨Be a Team Player
This role involves mentoring and collaborating with others, so highlight your experience in supporting junior team members. Share stories about how you've contributed to team initiatives or helped others grow technically. It’s all about showing that you can elevate the team as a whole.
✨Understand the Business Impact
ASOS is all about creating measurable impact, so come prepared to discuss how your work has influenced business outcomes in the past. Think about how your machine learning solutions have improved customer experiences or driven sales, and be ready to share those insights.
