At a Glance
- 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: Enjoy competitive salary, employee discounts, and flexible benefits.
- Other info: Access to learning resources and a supportive, inclusive workplace.
- Why this job: Make an impact with cutting-edge ML solutions in a dynamic environment.
- Qualifications: Experience in machine learning and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ 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 Machine Learning/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, with a focus on recommender systems.
- 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 (Recommenders) employer: ASOS
At ASOS, we pride ourselves on being an inclusive and dynamic workplace that empowers our employees to express their true selves while contributing to innovative solutions in the fashion retail industry. As a Machine Learning Engineer, you'll enjoy competitive salaries, generous employee discounts, and structured development opportunities, all within a supportive environment that fosters collaboration and creativity. Join us in shaping the future of online retail with cutting-edge technology and a commitment to personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Recommenders)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just chat with folks on LinkedIn. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to machine learning and recommender systems. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website. It shows you're genuinely interested and helps us keep track of your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Machine Learning Engineer (Recommenders)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your hands-on experience with machine learning and deep learning, and don’t forget to mention any relevant projects or frameworks you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality! Share why you’re passionate about machine learning and how you can contribute to our team at ASOS. Be sure to connect your experiences to the key responsibilities mentioned in the job description.
Showcase Your Projects:If you’ve worked on any interesting machine learning projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at ASOS
✨Know Your Algorithms
Make sure you brush up on your machine learning algorithms, especially those related to recommender systems. Be ready to discuss how you've implemented these in past projects and the impact they had on business outcomes.
✨Showcase Your Collaboration Skills
ASOS values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any experiences where you collaborated with data scientists or engineers to solve complex problems.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the modern ML frameworks mentioned in the job description. Be ready to talk about your experience with deployment workflows, CI/CD, and containerization, as these are crucial for the role.
✨Stay Current with Industry Trends
ASOS is looking for someone who stays updated with the latest research in machine learning. Bring insights from recent studies or trends that could benefit their business, showing your passion for continuous learning.
