At a Glance
- Tasks: Enhance customer discovery using advanced machine learning systems and mentor junior engineers.
- Company: Join ASOS.com, a leading fashion retailer with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on technical excellence.
- Why this job: Make a real impact on customer experience through cutting-edge machine learning technology.
- Qualifications: Experience in production machine learning and deep learning techniques required.
The predicted salary is between 70000 - 90000 £ per year.
ASOS. com Ltd is seeking a Senior Machine Learning Engineer in Westminster, England, to enhance customer discovery through advanced machine learning systems.
This role involves working closely within a cross-functional team, focusing on pricing algorithms, recommendation systems, and mentoring junior engineers.
Ideal candidates will have professional experience in production machine learning, especially in deep learning techniques.
Responsibilities include deploying machine learning models at scale and contributing to the technical direction of machine learning standards within ASOS.
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StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist - Personalisation & Recommendations
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We think you need these skills to ace Senior ML Scientist - Personalisation & Recommendations
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at asos.com Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at asos.com Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at asos.com Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
