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- Tasks: Design and implement reusable ML templates and tooling for scalable ML solutions.
- Company: Join ASOS, a leading fashion retailer with a collaborative culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact on ML systems while collaborating with talented teams.
- Qualifications: Experience in machine learning engineering and strong collaboration skills.
- Other info: Enjoy a dynamic work environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
As a Senior Machine Learning Engineer, you'll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable, and secure ML solutions across the organisation. You'll collaborate closely with ML Engineers and Scientists embedded in product teams such as Forecasting, Recommendations, Marketing, Customer, and Pricing helping them accelerate delivery and improve the quality of ML systems by providing a robust and standardised ML development experience.
What you'll be doing:
- Designing and developing shared ML engineering templates, tooling, and infrastructure to support ML teams across ASOS.
- Driving standardisation and reusability of ML workflows, enabling consistency across diverse product domains.
- Enabling teams to productionise ML models efficiently by providing best practices, templates, and technical support.
- Implementing and promoting ML Ops principles - including CI/CD for ML, model registries, monitoring, testing, and feature management.
- Collaborating with ML teams to understand pain points and evolve the platform accordingly.
- Partnering with Data Engineering, Platform Engineering, and Security teams to ensure scalable and cost-efficient ML infrastructure.
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That's why our approach to working together includes spending at least 2 days a week in the office. It's a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.
Senior Machine Learning Engineer (MLOps) in City of Westminster 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 (MLOps) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at ASOS on LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those that highlight your experience with MLOps principles. This will help you stand out during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and ML concepts. Use mock interviews to simulate the real deal and build your confidence.
✨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 team and contributing to their innovative ML solutions.
We think you need these skills to ace Senior Machine Learning Engineer (MLOps) in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with ML templates, deployment patterns, and MLOps tooling. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific projects where you've designed or implemented ML solutions. We love seeing real-world examples of your work, especially those that demonstrate your ability to collaborate with teams and drive standardisation.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about MLOps and how you can contribute to our team. Share your thoughts on best practices and how you’ve helped teams productionise ML models efficiently in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at asos.com Ltd
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around MLOps principles. Be ready to discuss CI/CD for ML, model registries, and monitoring techniques. This will show that you not only understand the theory but can also apply it in practice.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of past collaborations. Highlight how you’ve worked with ML Engineers, Data Engineers, or other stakeholders to solve problems or improve processes. This demonstrates your ability to work in a team-oriented environment.
✨Prepare for Technical Questions
Expect technical questions related to designing reusable ML templates and deployment patterns. Practice explaining your thought process when developing ML workflows and how you ensure scalability and reliability in your solutions. Clear communication of your technical skills is key.
✨Understand ASOS's Culture
Familiarise yourself with ASOS's work culture and their emphasis on in-person collaboration. Be prepared to discuss how you thrive in a team setting and how you can contribute to building a strong team dynamic. Showing that you align with their values can set you apart.
