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Machine Learning Engineer

Posted 15 Jul 2022
Work experience
1 to 3 years
Full-time / part-time
Job function
Degree level
Required languages
English (Fluent)
Dutch (Good)

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Machine Learning Engineer (includes a one-year advanced-training program)

Ready to break boundaries in the analytical world? Accelerate your ML engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a ML(ops) engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects. What kind of projects?

✅ Help data-driven teams to build production-ready, scalable machine learning systems

✅ Productionizing machine learning models

✅ Maintain and improve automated ML pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance

The role itself

· 2 fulltime weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, ML(ops) engineering and cloud fundamentals

· Work 4 days a week as a ML(ops) Engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall

· Join us every Thursday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads

· At the end of your first year, you get the opportunity to join the partner organization directly

Key Responsibilities

As a ML(ops) Engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you will work on data science & ML related topics, such as predictive software solutions, fraud detection or data engineering challenges such as building data pipelines, developing on cloud architectures and productionizing machine learning models.

Besides this, you like big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are used to build production-ready scalable applications driven by data and AI.

This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

✅ A technical bachelor’s or master’s degree (e.g. Data Science, Econometrics, Artificial Intelligence)

✅ 1-4 years of work experience as a ML Engineer or Data scientist

✅ Statistical knowledge but are mainly experienced with end to end systems and able to run, deploy and monitor them

✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

What Xccelerated offers

💰 Good salary

🛫 25 vacation days

📙 Kick off with 2 full-time weeks of hands-on bootcamp training

📊 Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignments

💻 Macbook and Iphone

🍎 Lunches, amazing coffee and snack bar

🎒Flexibility in working from home & at the office

Interested? We’d love to meet you!

Please get in touch! Contact Jessie Loogman at or by phone at 06509993.

Application Process

· First interview with one of our recruitment consultants (Samantha or Jessie)

· Making a technical assessment (from home) you will present to one of or Tech Leads (home/on remote)

**We aim to complete an application process (from application to offer) within 1-3 weeks. As you will understand, this also depends on your own availability.

About Xebia

With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation.

Xccelerated is a joint initiative between Xebia and GoDataDriven, accelerating careers of young professionals with one to three years of experience in the fields of machine learning, data engineering, and cloud engineering.
Our 13-month advanced training program integrates learning with working at one of our partner companies. We offer you the opportunity to work at companies like Heineken, KLM, ING, Vattenfall or Randstad Group and become an authority in your field.

Active in 1 country
30 employees
20% men - 80% women
Average age is 27 years

What employees are saying

Nikki Doorhof

Data Scientist

Nikki Doorhof

“I use the skills I learned at Xccelerated are of great use in my day to day work at Nationale Nederlanden. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects.”

Selin Gungor

Machine Learning Engineer

Selin Gungor

“Xccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges at ING.”