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Careers at Xebia

Machine Learning Engineer - Program

Amsterdam - Netherlands

Machine Learning Engineer

Xccelerated | Part of Xebia

While the talent scarcity within IT is at an all-time high and still growing, Xebia sticks to the mission of “aiming for thought leadership”, thus working with the best professionals in the market.

At Xebia, you will get the chance to work with passionate professionals within their field of expertise. We offer more than just a job, we offer a career. We are looking forward to working with you!

Machine learning engineers first and foremost sit at the intersection of software engineering, data science, and DevOps. You work together with data scientists and engineers in a team to build production-ready, scalable machine learning systems.

About us

Xccelerated is an initiative within Xebia, accelerating the growth of Data, Cloud and AI competence. Our 13-month advanced training programs integrate hands-on learning and skill development with working at one of our partner companies. It is an intense learning journey for people who have proven their potential and are ready for the next step in their careers.

Working as a Machine Learning Engineer through Xccelerated: what is that like?

Every ML engineer kicks off with two full-time weeks of hands-on Bootcamp training. This intensive training focuses on writing deployable code with Python, containerization, data processing at a large scale with Apache Spark and Kafka, and cloud fundamentals. Participants learn through classroom lectures, short assignments, hackathons, and collaborative project assignments. Our ML Engineering Lead chooses the best training approach for the topic, depending on your needs.

After these 2 kick-off weeks, you’ll work four days a week at the location of one of our partner organizations and one day a week at the Xccelerated office/on remote — which involves 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.

The Role

As an ML 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 and 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.



We organize amazing events; like skiing together or going to Ibiza, dinner and/or theme-parties, sportweeks, our own MUD or TED events… or organize your own event! The sky is the limit.

Training Budget

A real training budget of €5,000, without a fight. In fact, it’s your obligation to spend it every year.

Your Devices and Books

Choose the laptop and phone you want! And on top of that, you can choose new devices every 2 year. You will also have the advantage of an unlimited budget for ordering the books you need to grow as professional.

Conferences and Speaking

Attending and speaking at relevant worldwide conferences doesn’t come out of your vacation time.

Knowledge Sharing

Our Open Kitchens, bi-weekly knowledge exchanges, Innovation Days, frequent tech-rallies, and TED-style conferences, all contribute to exploring and achieving your potential, individually and collectively as Xebians.

Great Community

In addition to internal knowledge sharing, Xebia is also an active player in multiple communities and regularly host, speak, attend, and organize Meetups and conferences. Have an idea for a meetup we should sponsor? Or want to start a new one? You’ve got it. Knowledge sharing is a core value for us.
Who are You?

Your Superpowers

  • A technical bachelor’s or master’s degree (e.g. computer science, informatics, artificial intelligence, software engineering)
  • 2-5 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.
  • Preferably experience with the entire data pipeline (from data storage to model development)
  • Knowledge of open-source technologies like Spark, Kafka, Airflow, and Kubernetes
  • Good communication skills


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People First

You grow. We grow. Xebia puts People First, always. With a trust on personal and professional development Xebia provides a mutual atmosphere of respect, trust, responsibility and accountability that helps foster great ideas and innovation.

Sharing Knowledge

The more you share it, the more it grows. With mandatory bi-weekly sessions of Xebia Knowledge Exchange, Xebia ensures a flow of knowledge from country to country, unit to unit and employee to employee.

Customer Intimacy

We build long lasting relationships with our customers and serve them on an equal level.. We work on common goals and trust, by being truly interested in the person and adding value pro-actively and consistently.

Quality without Compromise

Be it work, be it personal interactions, be it the surroundings or be it the self, at Xebia 100% is the norm. Because enough is just not enough.