Machine Learning Developer Hiring Trends in 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 the Netherlands remains dynamic, currently featuring approximately 20 new job openings per week, although a significant decline was observed in week 25 with only 4 new openings.
The seniority distribution highlights a predominant demand for mid-senior level professionals, who make up 53% of available roles, indicating a critical need for experienced talent as companies navigate the tightening job market.
Top hiring cities include Amsterdam, which commands 62% of job openings, followed by Utrecht at 22% and Rotterdam at 12%, emphasizing the importance of location in recruitment strategies for CTOs and engineering managers.
The current hiring environment presents challenges, as the number of job openings outpaces the available talent pool, suggesting that effective recruitment strategies will be essential for attracting qualified Artificial Intelligence Machine Learning Engineers.
With a median time to hire of 33 days and a strong preference for full-time roles comprising 93% of positions, tech leaders should focus on streamlining their hiring processes to remain competitive in attracting top-tier talent in the Artificial Intelligence Machine Learning sector.

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

Over the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in the Netherlands has exhibited fluctuations with an average of approximately 20 new positions posted weekly. Notably, week 20 peaked with 61 job openings; however, subsequent weeks have shown a significant decline, culminating in just 4 new openings in week 25. Conversely, job closures have spiked, particularly in weeks 26 and 27, where 48 positions were closed. This contrasting trend indicates a tightening job market for Artificial Intelligence Machine Learning roles, which calls for strategic recruitment efforts by CTOs and engineering managers. In comparison to other European countries, the Netherlands maintains a dynamic yet volatile landscape for hiring in this sector, with a consistent demand for skilled professionals.

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 demand for Artificial Intelligence Machine Learning Engineers in Europe showcases significant variances across countries. In the Netherlands, the current ratio of available talent against job openings indicates a challenging hiring climate, as the number of relevant job openings grows rapidly compared to the available talent pool. For instance, with a robust tech ecosystem, Germany and the UK display a more favorable jobs-to-talent ratio, facilitating recruitment efforts. Meanwhile, France presents a competitive environment with a decent number of opportunities and a sizable talent base. As such, CTOs and hiring managers in the Netherlands must adopt innovative recruitment strategies to attract Senior Artificial Intelligence Machine Learning Developers amidst these market trends.

Seniority distribution of Machine Learning Engineer job openings in Netherlands

Seniority Distribution of Machine Learning Engineering Jobs in Netherlands

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in the Netherlands highlights a predominance of Mid-Senior level positions, comprising 53% of available roles. Entry level positions account for 24%, while Associate roles make up 15% of the total job market. This distribution indicates a robust demand for experienced professionals and suggests that recruitment strategies for CTOs and tech hiring managers should focus primarily on attracting Mid-Senior level talent to meet the growing needs of the industry.

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the software development job market exhibits a significant preference for full-time employment, accounting for 93% of engineering roles, with 29,322 positions reported. Contract roles comprise 2% of the market at 1,975 positions, while part-time opportunities make up 1% with 1,711 jobs available. These insights are crucial for CTOs and hiring managers as they strategize recruitment in the competitive landscape of Artificial Intelligence Machine Learning Engineer positions.

Time to Hire Distribution for Artificial Intelligence in Netherlands

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in the Netherlands reveals significant insights into recruitment strategies within the tech sector. Notably, the largest concentration of hires, comprising 243 candidates, occurs within the 30-day mark, followed by 157 candidates needing 25 days. As the time to hire increases beyond 30 days, a notable decline in candidate availability is observed, indicating a potential bottleneck for recruiting Senior Artificial Intelligence Machine Learning Developers. Understanding these trends can aid CTOs and hiring managers in optimizing their recruitment processes to align with market demands.

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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 Engineers reveals significant concentration in key cities. Amsterdam leads with 62% of the total openings, followed by Utrecht at 22%, and Rotterdam with 12%. These figures underscore the capital's dominance in the Artificial Intelligence Machine Learning job market in the Netherlands, making it a critical hub for recruitment strategies in the tech sector.

Most sought after technologies in Netherlands for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in the Netherlands is significantly influenced by a range of technologies that are in high demand. Notably, Python leads the way with a frequency of 7,675, followed by Machine Learning itself at 4,406. SQL, a pivotal language for data management, is also prevalent with 3,076 occurrences. Additionally, AI technologies are gaining traction, featuring with a frequency of 2,709. These insights into commonly used technologies are crucial for hiring managers and recruitment strategies as illustrated in the accompanying chart.

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