Senior Machine Learning Engineer for Search

bol; Utrecht; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading online retail platform in the Netherlands is seeking a Machine Learning Engineer to design, build, and deploy machine learning solutions. You will work in cross-functional teams to enhance customer experiences through innovative, data-driven approaches. The ideal candidate has 5+ years of experience in ML engineering and strong skills in Python and SQL, with a preference for GCP experience. Enjoy learning in an informal and innovative environment.

Qualifications

• 5+ years’ experience as an ML Engineer, ideally in Search or Recommendations.
• Strong skills in Python, SQL, and data engineering.
• Experience deploying ML in production on cloud platforms.

Responsibilities

• Design and build machine learning solutions for data-driven innovations.
• Transform tested models into scalable production systems.
• Collaborate within cross-functional teams to enhance customer experiences.

Skills

Python

SQL

Data engineering (Airflow, DBT, Kubernetes, CI/CD)

Tools

GCP

Job description

Overview

As a Machine Learning Engineer, you’ll play a key role in designing, building, and deploying machine learning solutions that power bol.com’s data‑driven innovations.

With 13 million customers, 129 million monthly visits and about 41 million products on display, bol is the most successful online retail platform in The Netherlands and Belgium. And when we say ‘platform’, we mean it. Well over 49,000 external partners – and counting – enrich the product base. Data‑driven, adventurous, we intend to deliver on our promise to make life easier and more fun for customers. And that is exactly what our IT 750+ professionals (25% internationals) do. Making mistakes is no biggie, as long as learnings are shared.

Responsibilities

As a Machine Learning Engineer, you’ll play a key role in designing, building, and deploying machine learning solutions that power bol.com’s data‑driven innovations. Working in cross‑functional teams alongside data scientists, software engineers, and business stakeholders, you’ll transform tested models into scalable, real‑time production systems that directly enhance customer experiences.

Qualifications

• 5+ years’ experience as an ML Engineer, ideally in Search or Recommendations
• Strong Python, SQL, and data engineering skills (Airflow, DBT, Kubernetes, CI/CD)
• Experience deploying ML in production on cloud platforms (GCP preferred)
• Comfortable with agile workflows, A/B testing, and MLOps best practices

Pros

• You like working on the overlap between AI, software and data engineering
• You have an A/B test mindset and like real‑time visible solutions in a high impact area of the company
• You like to communicate and take your team and stakeholders along in moving solutions to production

Cons

• You do not believe in an agile/iterative approach and only want to build models from data without taking them into production
• You are not flexible and can’t shift smoothly between different topics and produce spaghetti code
• You are not comfortable if the design of the end‑state is not known yet and do not like coding, scripting, templating

Where you’ll work

As a Machine Learning Engineer, you’ll be at the centre of our data intensive landscape. Our business model is focused on technology and data‑driven improvements that drive innovation for our customers. The data science community in bol is a growing team of unique data savvy professionals consisting of Data Scientists, Machine Learning Engineers, Data Engineers and Software Engineers. Next to that there is also a specific MLE‑community. The cross‑functional teams, with ample representation from the business units, also give you a complete picture of the organization. Professional success in data science requires more than any university can teach you, and bol is the perfect place to learn the rest. The setting is informal, pragmatic and innovative. Our success is based on collaborating as equals and continuously learning from each other.