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- Tasks: Develop and deploy machine learning solutions that impact real-world business challenges.
- Company: Join ASOS, a leading online fashion retailer committed to inclusivity and creativity.
- Benefits: Enjoy competitive salary, generous discounts, flexible benefits, and professional development opportunities.
- Why this job: Make a difference in a dynamic environment while working with cutting-edge machine learning technologies.
- Qualifications: Experience in machine learning, deep learning, and collaborative team environments.
- Other info: Be part of a supportive workplace where innovation and personal growth are encouraged.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross‑functional team. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data‑rich challenges.
In this role, you'll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.
Key Responsibilities- Collaborate with cross‑functional teams to design, implement, and optimise machine learning models for real‑world business use cases.
- Deploy and maintain both batch and real‑time machine learning systems at scale.
- Work alongside data scientists to translate experimental models into robust production‑ready solutions.
- Continuously improve model accuracy, system efficiency, and platform capabilities.
- Contribute to defining team best practices and engineering standards in machine learning development.
- Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
- Hands‑on professional experience in developing and deploying machine learning solutions, with a focus on deep learning.
- Experience working with modern ML frameworks and familiarity with end‑to‑end deployment workflows.
- Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.
- Familiar with software development practices including version control, CI/CD, containerisation, and monitoring, especially within ML Ops workflows.
- A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
- Motivated self‑starter with a desire to learn, share knowledge, and grow in a fast‑paced environment.
- Competitive salary and performance‑based bonus scheme.
- Generous employee discount and exclusive product access.
- Structured personal and professional development opportunities.
- Paid annual leave plus an additional day for special personal milestones.
- Flexible benefits allowance and private medical care options.
- Access to a variety of online learning resources and employee‑led communities.
- A supportive, inclusive, and dynamic workplace where innovation thrives.
Machine Learning Engineer in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer 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 might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your past projects and how they relate to ASOS's goals. Practice common ML interview questions with a friend!
✨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 ASOS team!
We think you need these skills to ace Machine Learning Engineer in London
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 aligns with our mission at ASOS.
Tailor Your Experience: Make sure to highlight your hands-on experience with deep learning and any relevant projects you've worked on. We love seeing how your skills can directly contribute to our team’s goals, so be specific!
Keep It Clear and Concise: While we appreciate creativity, clarity is key! Use straightforward language and structure your application well. This helps us quickly understand your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our culture there!
How to prepare for a job interview at ASOS
✨Know Your Stuff
Make sure you brush up on your deep learning concepts and the latest machine learning frameworks. Be ready to discuss your hands-on experience with deploying models and how you've tackled real-world challenges in the past.
✨Show Your Collaborative Spirit
ASOS values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any projects where you collaborated with data scientists or engineers to deliver impactful solutions.
✨Demonstrate Your Problem-Solving Skills
Think of specific instances where you've improved model accuracy or system efficiency. Be ready to explain your thought process and the steps you took to overcome obstacles in your previous projects.
✨Stay Current and Curious
ASOS is looking for someone who keeps up with industry trends. Bring up any recent research or advancements in machine learning that excite you, and discuss how you could apply these insights to their business.
