Machine Learning Developer Hiring Trends in Utrecht, Netherlands

This report was last updated on Aug 10, 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 Netherlands Utrecht has shown notable fluctuations, with 28 new job openings contrasted by 38 closed positions over the past three months.
Key organizations actively hiring include Axelera AI, TNO, and ThePhoneLab, highlighting a competitive landscape in which talent acquisition strategies must adapt to meet emerging demands.
With mid-senior level roles comprising 61% of available positions, hiring managers must prioritize recruitment of experienced candidates while nurturing entry-level talent to maintain a robust talent pipeline in the sector.
Utrecht stands as the second most significant hub for AI talent in the Netherlands, accounting for 21% of job listings, trailing only Amsterdam, which dominates with 59%. This emphasizes the city's growing role in the Artificial Intelligence job market.
Recruitment strategies must be efficient, as the median time to hire for Artificial Intelligence Engineers in the Netherlands is 33 days, with the majority of positions filled within 25 to 35 days, underscoring the competitive nature of this field.

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Netherlands Utrecht has shown notable fluctuations, with a total of 28 new positions opened compared to 38 positions closed. The highest activity was observed in week 22, where 7 new jobs were posted, while weeks 7 to 9 saw significant closure activity, culminating in 8 positions closed in week 30. This sharp contrast in job openings and closures indicates an increasingly competitive landscape for professionals in this niche, particularly when compared to other tech roles in the region. As hiring managers examine recruitment strategies for CTOs in Netherlands Utrecht's tech sector, they must consider these trends, which reflect an evolving demand for Senior Artificial Intelligence Machine Learning Developers amidst a tightening market.

Who else is hiring for ai Engineers in Netherlands:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	27
TNO	Netherlands	Research	1932	9
Canonical	United Kingdom	Information Technology & Services	2004	6
ThePhoneLab	Netherlands	Telecommunications	2015	5
ML6 \| Your partner in AI	Belgium	Information Technology & Services	2013	5
CIMSOLUTIONS	Netherlands	Information Technology & Services	1992	5
CGI Nederland	null	null	null	5
Vivid Resourcing	United Kingdom	Staffing & Recruiting	2009	4
ilionx	Netherlands	Information Technology & Services	2002	4
Amazon	United States	Information Technology & Services	1994	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 job market for Artificial Intelligence Machine Learning Engineers in the Netherlands, particularly in Utrecht, reflects a competitive landscape. With a significant number of job openings compared to the talent pool, it indicates a tighter market than in other European countries like Germany, France, and the UK. For instance, while the Netherlands shows a relatively high ratio of talent openings, countries like Germany may offer a more accessible talent pool, potentially making hiring more challenging for Dutch tech leaders. Consequently, hiring managers in Utrecht must adopt proactive recruitment strategies to attract the right candidates amidst these evolving trends in hiring Senior Artificial Intelligence Machine Learning Developers.

Seniority distribution of Machine Learning Engineer job openings in Utrecht

Seniority Distribution of Machine Learning Engineering Jobs in Utrecht

In the burgeoning Artificial Intelligence Machine Learning job market in Netherlands Utrecht, the seniority distribution reveals intriguing trends. Mid-Senior level positions dominate, accounting for 61% of the roles available, followed by Entry level positions at 24%. Internship opportunities make up 15% of the market, highlighting a strong interest in nurturing emerging talent in this field.

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment type distribution for engineering roles reveals a significant preference for stability, with 94% of positions classified as Full-time, followed by 6% in Contract roles, and less than 1% in Part-time capacities. This data indicates a strong inclination towards long-term employment opportunities, particularly relevant for hiring managers seeking to attract talent in the Artificial Intelligence Machine Learning sector. Understanding these trends is crucial for CTOs and team leads aiming to position their companies effectively in the competitive tech landscape of Utrecht.

Time to Hire Distribution for Artificial Intelligence in Netherlands

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence roles in the Netherlands reveals critical insights for hiring managers. With a notable count of 243 roles taking around 30 days to fill, there is a clear indication that recruitment strategies must be efficient to access top talent quickly. Moreover, the data shows that the majority of positions are filled within 25 to 35 days, highlighting a competitive environment for Artificial Intelligence Machine Learning Engineers. There exists a significant drop in hiring beyond 35 days, suggesting that prolonged recruitment processes may hinder access to qualified candidates. As such, CTOs and Engineering Managers should consider optimizing their hiring frameworks to align with these time to hire trends.

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Most popular cities in Netherlands to hire Artificial Intelligence Engineers

Top 5 cities in Netherlands to hire Artificial Intelligence Engineers

In the Netherlands, the distribution of job openings for Artificial Intelligence Machine Learning Engineers highlights a significant concentration in key urban areas. Amsterdam leads with 59% of the total job listings, followed by Utrecht, which accounts for 21%. Rotterdam trails with 12%, underscoring the dominance of Amsterdam as the primary hub for AI talent, with Utrecht firmly establishing itself as a crucial player in the technology landscape.

Most sought after technologies in Utrecht for Machine Learning

Key technologies for Machine Learning Engineers

In the Netherlands, particularly in Utrecht, the Artificial Intelligence and Machine Learning jobs are dominated by several key technologies. Python emerges as the most commonly utilized programming language with a notable frequency of 7,675 occurrences, making it essential for professionals in this field. Following closely, SQL is pivotal for data manipulation, with 3,076 mentions, reinforcing its crucial role in data management. The presence of Machine Learning stands at 4,406, highlighting its significance in developing intelligent applications. Other noteworthy technologies include AWS, a key cloud service provider with 902 mentions, and Data Science, which underlines a strong demand for data-driven decision-making. For further insights, please refer to the accompanying chart that illustrates these trends.

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