Machine Learning Developer Hiring Trends in Netherlands

This report was last updated on Aug 31, 2025

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

The job market for Artificial Intelligence Machine Learning Engineers in the Netherlands has seen challenging dynamics, with a total of 118 new jobs posted in the last three months contrasted by 233 closures, highlighting a significant supply-demand imbalance.
Currently, there are 32,287 full-time engineering roles available in the Netherlands, indicating a strong focus on permanent positions while only 6% are contract-based, an essential factor for recruiters in the Artificial Intelligence Machine Learning sector.
Amsterdam leads the market as the top city for Artificial Intelligence Machine Learning Engineer positions, accounting for 61% of openings, followed by Utrecht (22%) and Rotterdam (12%), emphasizing critical recruitment locations for hiring managers.
With a median time to hire of 33 days, hiring managers need to recognize the important hiring trend, where recruitment within the 20-30 day range is most successful, indicating the urgency in filling these roles to remain competitive.
Top companies actively hiring include Axelera AI, TNO, and ThePhoneLab, underscoring a vibrant recruitment landscape, although hiring for these roles is increasingly competitive, necessitating innovative recruitment strategies by CTOs and Engineering Managers in the Netherlands.

Number of roles opened and closed for Machine Learning Engineers in Netherlands in the last 3 months

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in the Netherlands has shown fluctuating trends, with a peak of 48 new positions posted in week 23, followed by a notable decline to only 4 openings in week 27. Over this period, a total of 118 jobs were posted, while 233 positions were closed, indicating a significant gap favoring job closures, particularly in weeks 24 and 25 where 67 jobs were terminated against merely 14 new postings. This contrasting dynamic underscores the competitive nature of the Artificial Intelligence Machine Learning job market, suggesting that hiring managers must adapt their recruitment strategies to navigate the decreasing supply of these skilled professionals effectively, especially compared to other roles in the Netherlands and across Europe.

Who else is hiring for ai Engineers in Netherlands:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	25
TNO	Netherlands	Research	1932	7
Harnham	United Kingdom	Staffing & Recruiting	2006	5
Sweco	Sweden	Professional Training & Coaching	1889	5
ThePhoneLab	Netherlands	Telecommunications	2015	5
CIMSOLUTIONS	Netherlands	Information Technology & Services	1992	5
Adyen	Netherlands	Financial Services	2006	5
Philips	Netherlands	Hospital & Health Care	1891	5
CGI Nederland	null	null	null	5
ML6 \| Your partner in AI	Belgium	Information Technology & Services	2013	4

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Talent pool vs job openings for Artificial Intelligence Engineers in Netherlands

How competitive it is to hire Artificial Intelligence Engineers in Netherlands

The talent market for Artificial Intelligence Machine Learning Engineers in the Netherlands exhibits a challenging recruitment landscape, as evidenced by the current job openings and available talent pool. With a significant ratio of job openings to talent pool size, it is relatively harder to hire qualified candidates compared to other European countries. For instance, Germany presents a more favorable recruitment environment, with a higher talent pool ratio, making it easier to fill positions. Similarly, in the United Kingdom and France, the trends in hiring Senior Artificial Intelligence Machine Learning Developers reflect a more balanced market ratio. Consequently, hiring managers in the Netherlands may need to adopt innovative recruitment strategies to attract skilled professionals in this competitive sector.

Seniority distribution of Machine Learning Engineer job openings in Netherlands

Seniority Distribution of Machine Learning Engineering Jobs in Netherlands

In the Netherlands, the seniority distribution of Artificial Intelligence Machine Learning Engineering jobs reveals significant insights for hiring managers. The Mid-Senior level constitutes 54% of the job opportunities, indicating a strong demand for experienced professionals. Entry-level positions make up 21%, reflecting the ongoing interest in nurturing new talent in this field. Finally, Associate roles account for 15%, highlighting a vital tier of seasoned candidates who are stepping into more advanced responsibilities.

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment type distribution for engineering roles is predominantly skewed towards full-time positions, comprising approximately 93% of the job market with 32,287 available roles. Contract positions account for about 6% with 2,134 jobs, while part-time roles represent around 1% of the market with 1,869 opportunities. This data underscores the essential emphasis on full-time employment within the Dutch engineering landscape, an important consideration for recruitment strategies focused on Artificial Intelligence and Machine Learning roles.

Time to Hire Distribution for Artificial Intelligence in Netherlands

How long does it take to hire Artificial Intelligence Engineers

In the Netherlands, the distribution of time to hire for Artificial Intelligence Machine Learning Engineer positions reveals significant insights for hiring managers. Notably, the most common hiring window ranges from 20 to 30 days, where 55 and 187 candidates were sourced, respectively. This indicates a competitive landscape, with a total of 109 candidates hired within 10 days. However, as the hiring period extends beyond 30 days, numbers show a decrease in candidate acquisition, with only 5 candidates hired by the 90-day mark. Understanding these hiring trends is crucial for CTOs and recruitment professionals aiming to streamline their recruitment strategies in the Netherlands' technology sector.

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Most popular cities in Netherlands to hire Artificial Intelligence Engineers

Top 5 cities in Netherlands to hire Artificial Intelligence Engineers

The job market for Artificial Intelligence Machine Learning Engineers in the Netherlands reveals a significant concentration in Amsterdam, which accounts for 61% of the total job openings. Utrecht follows with 22% of the vacancies, while Rotterdam contributes 12%. This data underscores Amsterdam's dominant position as a key hub for Artificial Intelligence Machine Learning opportunities, as illustrated in the accompanying chart.

Most sought after technologies in Netherlands for Machine Learning

Key technologies for Machine Learning Engineers

In the Netherlands, the job market for Artificial Intelligence and Machine Learning Engineers is heavily influenced by a range of key technologies, reflecting current industry demands. Data collected reveals that Python leads with a frequency of 5250, highlighting its prominence in AI/ML development. Following closely are Machine Learning at 3135, and SQL at 2006, showcasing the importance of data manipulation and machine learning capabilities. Other notable technologies include R (716) and AWS (699), which are essential for data management and cloud solutions. Finally, a significant mention is made of Deep Learning (554) and Data Engineering (661), indicating the growing focus on advanced algorithms and data pipeline management in the hiring landscape. For a visual representation of these technologies and their usage frequencies, refer to the attached chart.

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