Senior Machine Learning Engineer for Search

Senior Machine Learning Engineer for Search

bol.com

Services e-commerce

Utrecht - Niederlande

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Publié depuis 2 jours

Description du poste

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.

How do you make our customers happy?

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.

What you do as Machine Learning Engineer

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.

We're looking for an engineer who can bridge the gap between data science and software engineering-someone who can take ML concepts from idea to production using modern frameworks, MLOps best practices, and cloud technologies. You'll tackle challenges like integrating low-latency models into high-traffic services, improving real-time feedback loops, and exploring LLM applications for search. Flexibility, curiosity, and a "get things done" mindset are essential as you balance rapid iteration with long-term scalability.

Bullet points:

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

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

Cons

• if do not believe in an agile/iterative approach You only want to build models from data and are not interested in doing the work involved in taking these models into production.
• if are not flexible and can't shift smoothly between different topics You are just fine with spaghetti code or do not understand what that is
• if you are not comfortable if the design of the end-state is not known yet You 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.

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