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- Tasks: Join a team to develop and deploy impactful machine learning solutions.
- Company: ASOS, a global online fashion retailer with a focus on inclusivity.
- Benefits: Competitive salary, employee discounts, flexible benefits, and professional development opportunities.
- Why this job: Make a real impact in the fashion industry using cutting-edge machine learning technology.
- Qualifications: Experience in machine learning, deep learning, and collaborative teamwork.
- Other info: Dynamic and supportive workplace with excellent growth potential.
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'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 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.
About You
- 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.
BeneFITS: 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 (Hiring Immediately) in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at ASOS on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Machine Learning Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving deep learning. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to the challenges at ASOS.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges or technical interviews. Use platforms like StudySmarter to find resources that can help you ace those tricky ML questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be able to keep track of your application status easily. Don’t miss out on this opportunity!
We think you need these skills to ace Machine Learning Engineer (Hiring Immediately) 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 align with the role at ASOS. 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, especially in deep learning and deployment workflows. We want to see how your background fits perfectly with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff without unnecessary fluff.
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’s super easy to do – just follow the prompts and you’ll be all set!
How to prepare for a job interview at ASOS
✨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!
✨Stay Current
Keep yourself updated with the latest trends and research in machine learning. Mention any recent papers or technologies that excite you during the interview. This demonstrates your passion for the field and your commitment to continuous learning, which is crucial for a role like this.
✨Ask Insightful Questions
Prepare some thoughtful questions about ASOS's approach to machine learning and how they integrate it into their business strategies. This not only shows your interest in the company but also gives you a chance to assess if their culture aligns with your values.