ML Engineering traineeship

Still think you need two distinct professionals to develop a single model and bring it to production? No problem, it just means you haven’t heard about our skilled machine learning engineers yet! Solid programmers with a well balanced skillset which combines the best of data engineering and data science. True team players, and strong communicators. Down to earth professionals, with a great future ahead. Talented professionals who already proved their potential in their first gigs, and are eager to keep learning and staying ahead of the pack. For them we launched our ML Engineering traineeship.

This flexible (detavast) program enables you to work with top-notch Machine Learning Engineers. Driven young professionals who are committed to making an impact at your organisation whilst being supported (trained and coached) by Xomnia’s experienced core team.

Why Xomnia's ML engineering traineeship

Work with the most talented Machine Learning Engineers out there. We know which candidates are able to develop AI solutions that provide true business value. That is why we only select team players who have proven work experience in designing state-of-the-art AI models ánd have the knowhow to put these models in production. Our Machine Learning Engineers are carefully selected and assessed by a demanding panel of their peers; our senior professionals!

Great value for money. Work with our ML Engineers for traineeship rates. With the level we require throughout our selection process we can ensure that our Machine Learning Engineers are at the same level of most of the medior consultants in the market.

Access to all the knowledge and experience that make Xomnia the leading AI company in the Netherlands. Guidance and support on the job by our senior professionals in a comprehensive and proven development programme. The programme has been refined over the past 5 years and with over 100 traineeship graduates and a vast amount of long lasting partnerships with our clients, we have proven to select and develop the best data specialists.

Detavast under a flexible contract length. Starting from just 3 months up to 2 full years. We understand your need to be able to adapt and scale accordingly. When partnering up has proven to be successful, you can offer the Machine Learning Engineer a direct employment.

How to get started

Simply get in touch! We’ll start by exploring your team’s data-driven challenges, needs, and requirements. Based on this we’ll share our beliefs on how we can support you in reaching your ambitions. If a ML Engineer should do the job we will start a candidate matching process. After making the match, the ML Engineer will be prepared by a tailored Warm Up before entering your organisation to ensure the right added value from the start. During our time of partnering up this will be further advanced by our traineeship program with senior guidance, access to our core team’s knowledge & experience, project support, and training. After a proven successful collaboration, you are allowed to offer the Machine Learning Engineer a direct employment, and build up your own internal team accordingly.

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Client testimonials

But don’t just take our word for it. Here's what clients have to say about our traineeships.

We were one of the first companies to work with Xomnia-trainees and, we have had quite a few over the years. All pleasant to work with, entering as juniors but developing themselves rather quickly with the Xomnia training and coaching program. Some are still working with us. Others, unfortunately, moved other directions.

Bernard VroomGroup Manager Operations Research/Data Science at KLM

Xomnia has helped us very well with setting up our DataLab, by providing junior data science talents (development program) and infrastructure expertise.

Paul van der VoortProgram manager DataLab at Prorail

By delivering a number of state-of-the-art models and implementing our decision-making process, Xomnia made life easier and better for both our customers and HEMA.

Bas KarsemeijerHead of data at HEMA

Both juniors are smart, creative young professionals and very pleasant to work with. We use the insights we gather from their analyses and predictions to set up A/B tests and customer interviews. This leads to improvements to the website as well as the booker and to relevant travel recommendations to our customers.

Tina GremmenOnline Sales Manager at NS

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