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- Tasks: Design and optimise machine learning models for real-world business challenges.
- Company: Join ASOS, a leading online fashion retailer with a vibrant culture.
- Benefits: Competitive salary, employee discounts, flexible benefits, and professional development.
- Why this job: Make an impact with cutting-edge technology in a supportive and inclusive environment.
- Qualifications: Experience in machine learning and deep learning, with strong collaboration skills.
- Other info: Dynamic workplace with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross-functional team. You will 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 will contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.
Responsibilities:- Collaborate with cross-functional teams to design, implement, and optimize 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, containerization, 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.com
Contact Detail:
ASOS.com 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 people in the industry, attend meetups, and connect with ASOS employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨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 and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past projects and how they relate to ASOS's goals.
✨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 the ASOS team.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let your enthusiasm for machine learning shine through! Share specific projects or experiences that highlight your skills and how they relate to the role. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Engineer position. Highlight relevant experience and skills that match the job description. We want to see how you can contribute to our team, so make it clear!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at ASOS.com
✨Know Your Stuff
Make sure you brush up on your deep learning fundamentals and the latest machine learning frameworks. Be ready to discuss specific projects you've worked on, especially those involving real-time systems or batch processing. This shows you're not just familiar with theory but have practical experience too.
✨Show Your Collaborative Spirit
ASOS values teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Share examples of how you’ve collaborated with data scientists or engineers to solve complex problems. Highlighting your communication skills will go a long way!
✨Demonstrate Your Passion for Learning
Express your enthusiasm for staying updated with industry trends and research. Mention any recent papers or technologies you've explored that could benefit ASOS. This shows you're proactive and genuinely interested in growing within the field.
✨Ask Thoughtful Questions
Prepare some insightful questions about ASOS's approach to machine learning and how they tackle challenges in their business. This not only demonstrates your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
