At a Glance
- Tasks: Build and enhance machine learning systems for product categorization and pricing insights.
- Company: Join OnBuy, a forward-thinking company revolutionising online shopping.
- Benefits: Enjoy a competitive salary, share options, and 25 days of annual leave.
- Other info: Flexible remote/hybrid work environment with great career growth potential.
- Why this job: Make a real impact on product performance with cutting-edge ML technology.
- Qualifications: Strong skills in Python and SQL, with experience in machine learning.
The predicted salary is between 65000 - 75000 € per year.
OnBuy is hiring a Senior Applied ML Engineer - Catalogue Intelligence in the UK, focusing on building machine learning systems for catalogue decisioning. This hands-on role requires strong skills in Python and SQL to enhance product categorization, data quality, and pricing insights.
You will be responsible for automating systems that influence product performance directly, with a salary range of £65,000 to £75,000, along with benefits including share options and 25 days of annual leave.
Senior ML Engineer, Catalogue Intelligence - Remote/Hybrid in Manchester employer: OnBuy
OnBuy is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Senior ML Engineer role in Catalogue Intelligence. With a focus on employee growth, we offer extensive opportunities for professional development, competitive salaries, and attractive benefits such as share options and generous annual leave. Our remote/hybrid working model ensures flexibility, allowing you to thrive in a supportive environment while making a significant impact on product performance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer, Catalogue Intelligence - Remote/Hybrid in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practising with friends or using online platforms can help us nail those tricky questions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer, Catalogue Intelligence - Remote/Hybrid in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as these are key skills for the role. We want to see how your background aligns with the responsibilities of enhancing product categorization and data quality.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our catalogue decisioning systems. Let us know what excites you about this opportunity!
Showcase Relevant Projects:If you've worked on any projects related to machine learning or data automation, be sure to include them in your application. We love seeing real-world examples of your skills in action, especially those that demonstrate your impact on product performance.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at OnBuy
✨Know Your ML Fundamentals
Brush up on your machine learning concepts, especially those related to catalogue decisioning. Be ready to discuss algorithms, model evaluation, and how you’ve applied these in past projects. This will show that you’re not just familiar with the theory but can also implement it effectively.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a coding problem or explain how you've used these languages to enhance product categorization or data quality in previous roles. Practice common coding challenges to boost your confidence.
✨Understand OnBuy's Business Model
Research OnBuy’s marketplace and understand how catalogue intelligence impacts their business. Be ready to discuss how your work as a Senior ML Engineer can directly influence product performance and pricing insights. This shows your genuine interest in the company and its goals.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask your interviewers. Inquire about their current challenges in catalogue intelligence or how they envision the role evolving. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
