At a Glance
- Tasks: Design and optimise machine learning models for real-world business challenges.
- Company: ASOS, a global online fashion retailer with an inclusive culture.
- Benefits: Competitive salary, employee discounts, flexible benefits, and professional development opportunities.
- Other info: Supportive workplace that encourages innovation and personal growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge machine learning solutions.
- Qualifications: Experience in machine learning, deep learning, and collaborative teamwork.
The predicted salary is between 28800 - 48000 £ 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 employer: ASOS.com
As a Digital Trading Assistant at TOPSHOP, you will join a dynamic and innovative team dedicated to redefining fashion retail. With a competitive salary, generous benefits including a performance-related bonus and employee discounts, and a vibrant work culture that encourages creativity and growth, this role offers a unique opportunity to thrive in the heart of London’s fashion scene. The company prioritises employee development and fosters an environment where your contributions directly impact the brand's success, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 just get your foot in the door.
✨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 deep learning knowledge. Be ready to discuss your past projects and how they relate to ASOS's goals. Confidence is key!
✨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.
We think you need these skills to ace Machine Learning Engineer
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. This shows us that you’ve done your homework and are serious about joining our team!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward 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 apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at ASOS.com
✨Know Your Algorithms
Brush up on your deep learning algorithms and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain your thought process behind model selection and optimisation, as this will show your depth of understanding.
✨Showcase Collaboration Skills
Since the role involves working closely with data scientists and engineers, highlight your experience in cross-functional teams. Share specific examples of how you’ve collaborated on projects, focusing on communication and problem-solving.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the modern ML frameworks mentioned in the job description. Be ready to discuss your experience with deployment workflows, CI/CD practices, and any tools you’ve used for monitoring machine learning systems.
✨Stay Current with Industry Trends
ASOS values innovation, so make sure you’re up to date with the latest research in machine learning. Bring insights or recent findings to the interview that could benefit their team, showing your passion for continuous learning and improvement.
