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- Tasks: Develop deep learning solutions for pricing strategies and customer targeting.
- Company: Leading online fashion retailer in the UK with an innovative team.
- Benefits: Competitive benefits and a dynamic workplace culture.
- Why this job: Join a cutting-edge team and make a real impact in fashion tech.
- Qualifications: Hands-on experience in machine learning and strong communication skills.
- Other info: Embrace continuous learning in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading online fashion retailer in the UK is seeking a Machine Learning Engineer to join their innovative team. In this role, you will focus on developing deep learning solutions that enhance pricing strategies and customer targeting.
Responsibilities include:
- Optimizing machine learning models
- Collaborating with data scientists to ensure effective deployment at scale
The ideal candidate will have hands-on experience in machine learning, strong communication skills, and a passion for continuous learning. This position offers competitive benefits and a dynamic workplace culture.
Machine Learning Engineer: Real-Time Personalization 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: Real-Time Personalization in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to real-time personalization. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when collaborating with data scientists and other team members.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Machine Learning Engineer: Real-Time Personalization in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for continuous learning and how you can contribute to our innovative team. Let us know why you're excited about the role and what makes you a great fit.
Showcase Your Communication Skills: Since strong communication is key in this role, make sure your application reflects that. Whether it's through clear language in your CV or cover letter, we want to see that you can convey complex ideas effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at ASOS.com
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially deep learning techniques. Be ready to discuss your hands-on experience with model optimisation and how you've tackled real-world problems in previous roles.
✨Show Off Your Collaboration Skills
Since this role involves working closely with data scientists, be prepared to share examples of successful collaborations. Highlight how you’ve communicated complex ideas effectively and contributed to team projects in the past.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of algorithms and data structures. Practise coding challenges and be ready to explain your thought process as you solve problems on the spot.
✨Express Your Passion for Learning
This position values continuous learning, so don’t hesitate to talk about any recent courses, workshops, or projects you’ve undertaken. Show them that you’re always looking to expand your skill set and stay updated with industry trends.
