At a Glance
- Tasks: Own machine learning systems to enhance product data quality and discoverability.
- Company: Join OnBuy, a dynamic tech company revolutionising online shopping.
- Benefits: Competitive salary, company equity, and 25 days annual leave.
- Other info: Remote role with excellent growth opportunities in a fast-paced environment.
- Why this job: Make a real impact on product catalogues using cutting-edge ML tools.
- Qualifications: Experience in machine learning, SQL, and Python required.
The predicted salary is between 65000 - 75000 € per year.
OnBuy is seeking a Senior Applied ML Engineer to own the machine learning systems powering the product catalogue. Located in the UK, you will collaborate with the Head of Seller Solutions to enhance product data quality, categorisation, and discoverability. This role offers the opportunity to work on production impacts directly using tools like SQL and Python while operating in a dynamic environment.
The expected salary ranges from £65,000 to £75,000 based on experience, with benefits including company equity and 25 days of annual leave.
Senior ML Engineer – Catalogue Intelligence (Remote UK) employer: OnBuy
OnBuy is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech field. As a Senior ML Engineer, you will not only have the chance to make a significant impact on product data quality but also enjoy generous benefits such as company equity and ample annual leave. With a focus on employee growth and a dynamic remote working environment, OnBuy is dedicated to supporting your professional development while you contribute to exciting projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer – Catalogue Intelligence (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at OnBuy. A friendly chat can sometimes lead to insider info or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your expertise in SQL and Python, and it’ll make you stand out when you’re chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common ML concepts and coding challenges. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly. Don’t forget to tailor your application to highlight your experience with product data quality and categorisation!
We think you need these skills to ace Senior ML Engineer – Catalogue Intelligence (Remote UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning systems, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about enhancing product data quality and how your previous experiences make you the perfect fit for this role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in dynamic environments. We love seeing how you approach problems and come up with innovative solutions!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at OnBuy
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to product data quality and categorisation. Be ready to discuss your experience with SQL and Python, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've made a significant impact using ML. Highlight how your contributions improved product discoverability or data quality, and be ready to explain your thought process and the tools you used.
✨Understand OnBuy's Vision
Do some homework on OnBuy and their approach to catalogue intelligence. Understanding their goals and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the team dynamics, current challenges in the catalogue system, or future projects. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
