Senior ML Engineer, Catalogue Intelligence - Remote UK in Manchester

Senior ML Engineer, Catalogue Intelligence - Remote UK in Manchester

Manchester Full-Time 60000 - 80000 € / year (est.) Home office (partial)
OnBuy

At a Glance

  • Tasks: Enhance product catalogue using advanced machine learning systems.
  • Company: OnBuy, a forward-thinking company with a focus on innovation.
  • Benefits: Company equity, 25 days annual leave, and a supportive work environment.
  • Other info: Remote or hybrid working options available for flexibility.
  • Why this job: Join a dynamic team and make a real impact on product data quality.
  • Qualifications: Strong skills in Python and SQL, plus experience in production-level ML systems.

The predicted salary is between 60000 - 80000 € per year.

OnBuy is seeking a Senior Applied ML Engineer to enhance their product catalogue through advanced machine learning systems. Located in the UK, with options for remote or hybrid working, this role focuses on improving product data quality and discoverability.

Ideal candidates will have strong skills in Python and SQL, alongside experience in building production-level ML systems.

Benefits include company equity, 25 days annual leave, and a supportive work environment that values opportunity and growth.

Senior ML Engineer, Catalogue Intelligence - Remote UK in Manchester employer: OnBuy

OnBuy is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture where innovation thrives. With the flexibility of remote or hybrid working arrangements, employees enjoy a healthy work-life balance, alongside competitive benefits such as company equity and generous annual leave. Join us to be part of a forward-thinking team dedicated to enhancing product data quality through cutting-edge machine learning technology.

OnBuy

Contact Detail:

OnBuy Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer, Catalogue Intelligence - Remote UK in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at OnBuy. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and SQL. This will give you an edge and demonstrate your hands-on experience.

Tip Number 3

Prepare for the interview by brushing up on common ML concepts and be ready to discuss your past projects. We want to see how you think and solve problems, so be ready to dive deep!

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 take that extra step to connect with us directly.

We think you need these skills to ace Senior ML Engineer, Catalogue Intelligence - Remote UK in Manchester

Machine Learning
Python
SQL
Data Quality Improvement
Product Data Discoverability
Production-Level ML Systems
Analytical Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as well as any production-level ML systems you've built. 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! Use it to explain why you're excited about enhancing product catalogues with machine learning. We love seeing passion and enthusiasm, so let us know what drives you in this field.

Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in previous roles. We’re looking for candidates who can think critically and creatively, especially when it comes to improving data quality and discoverability.

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. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at OnBuy

Know Your ML Stuff

Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with building production-level ML systems, as well as any specific projects you've worked on that relate to product data quality and discoverability.

Python and SQL Proficiency

Since strong skills in Python and SQL are essential for this role, prepare to showcase your coding abilities. You might be asked to solve a problem or write a snippet of code during the interview, so practice common algorithms and SQL queries beforehand.

Showcase Your Problem-Solving Skills

OnBuy is looking for someone who can enhance their product catalogue. Think of examples where you've tackled complex problems using ML. Be ready to explain your thought process and how you approached these challenges, as it will demonstrate your analytical skills.

Cultural Fit and Growth Mindset

Research OnBuy's company culture and values. They value opportunity and growth, so be prepared to discuss how you align with these principles. Share your aspirations for personal and professional development, and how you see yourself contributing to their supportive work environment.