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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 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
✨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 in collaborative environments like the one we offer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Machine Learning Engineer: Real-Time Personalization
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 this role and what makes you a great fit.
Showcase Your Communication Skills: As collaboration is key in this role, make sure to highlight your strong communication skills in your application. We love candidates who can explain complex concepts clearly, so give us examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 models and how you've optimised them in the past. This will show that you're not just familiar with theory but can apply it practically.
✨Showcase Your Collaboration Skills
Since you'll be working closely with data scientists, it's crucial to demonstrate your ability to collaborate effectively. Prepare examples of past projects where teamwork was key to success. Highlight how you communicated complex ideas clearly and contributed to a shared goal.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on algorithms, model evaluation metrics, and deployment strategies. Practising coding problems related to machine learning can also give you an edge. Remember, they want to see your problem-solving skills in action!
✨Express Your Passion for Learning
This role values continuous learning, so be prepared to talk about how you stay updated with the latest trends in machine learning. Mention any courses, workshops, or personal projects you've undertaken. Showing enthusiasm for growth will resonate well with the interviewers.
