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Machine Learning Developer Hiring Trends in Amsterdam, Netherlands

This report was last updated on Aug 10, 2025

Bence Gedai / Founder

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 Artificial Intelligence Machine Learning Engineers job market trends in Netherlands Amsterdam show a total of 82 jobs posted and 81 closed in the past three months, highlighting a competitive landscape for hiring managers.
  • The top three companies actively recruiting Artificial Intelligence Machine Learning Engineers in the Netherlands include Axelera AI, TNO, and ThePhoneLab, emphasizing the need for effective recruitment strategies to attract talent.
  • Amsterdam dominates the job market, housing 56% of all Artificial Intelligence Engineer roles, followed by Utrecht and Rotterdam, making it crucial for hiring initiatives to focus on this locale.
  • With a median time to hire of 33 days for Artificial Intelligence Engineers, hiring managers should implement swift yet strategic recruitment tactics due to the competitive nature of the talent market.
  • A significant 67% of job listings are targeted at Mid-Senior professionals, indicating a demanding need for skilled talent across various seniority levels, which is essential for recruitment efforts in the tech sector.
Number of roles opened and closed for Machine Learning Engineers in Amsterdam in the last 3 months

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

In the past 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Amsterdam has exhibited fluctuating dynamics characterized by a total of 82 jobs posted and 81 jobs closed. The highest demand was recorded in week 20 with 21 new postings, while a notable decline in openings was seen in weeks 24 and 25, with just 4 and 1 new roles posted, respectively. In contrast, the closure of jobs peaked in week 26, with 14 positions closed, indicating a competitive market. These trends suggest hiring managers should be aware of the rapid shifts in job availability when formulating recruitment strategies for Artificial Intelligence Machine Learning roles in Amsterdam, especially in comparison to other European tech hubs where demand may be steadier.

Who else is hiring for ai Engineers in Netherlands:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 27
TNO logo TNO Netherlands Research 1932 9
Canonical logo Canonical United Kingdom Information Technology & Services 2004 6
ThePhoneLab logo ThePhoneLab Netherlands Telecommunications 2015 5
ML6 | Your partner in AI logo ML6 | Your partner in AI Belgium Information Technology & Services 2013 5
CIMSOLUTIONS logo CIMSOLUTIONS Netherlands Information Technology & Services 1992 5
CGI Nederland logo CGI Nederland null null null 5
Vivid Resourcing logo Vivid Resourcing United Kingdom Staffing & Recruiting 2009 4
ilionx logo ilionx Netherlands Information Technology & Services 2002 4
Amazon logo 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 talent market for Artificial Intelligence Machine Learning Engineers in Europe reveals stark contrasts, particularly between the Netherlands and neighboring countries. In the Netherlands, the count of job openings significantly outnumbers the available talent pool, suggesting a challenging hiring landscape. With a low jobs-to-talent pool ratio, hiring managers in Amsterdam will find it increasingly difficult to secure qualified candidates. In contrast, countries such as Germany and France exhibit a more balanced ratio, while Eastern European nations show a higher availability of talent relative to job opportunities. This disparity highlights a pressing need for innovative recruitment strategies by CTOs in Netherlands Amsterdam's competitive tech sector.

Seniority distribution of Machine Learning Engineer job openings in Amsterdam

Seniority Distribution of Machine Learning Engineering Jobs in Amsterdam

In the Netherlands, particularly in Amsterdam, the distribution of Artificial Intelligence and Machine Learning Engineering roles indicates a strong demand for Mid-Senior level professionals, who comprise 67% of job listings. Entry level roles account for 13%, while Associate positions represent 11%. This distribution highlights the need for effective recruitment strategies by CTOs and hiring managers to secure talent at all seniority levels within the vibrant tech sector.

Chart about preferred employment type for Engineering roles in Netherlands

Preferred employment type for Engineering roles in Netherlands

The employment type distribution for engineering roles in the Netherlands reveals significant insights for hiring managers. Full-time positions dominate the landscape, constituting 93% of available roles. Meanwhile, contract roles account for 6%, followed by part-time positions making up 1% of the market. Understanding this distribution is crucial for CTOs and recruitment professionals strategizing in the vibrant tech environment of Amsterdam.

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 positions in the Netherlands reveals critical insights for hiring managers in Amsterdam's tech landscape. Notably, the majority of candidates (243) are hired within a 30-day timeframe, reflecting a competitive job market that emphasizes the importance of swift recruitment strategies. However, as the hiring timeline extends beyond 30 days, the count diminishes significantly, indicating a potential talent scarcity for the most sought-after roles. Hiring managers and recruiters should be aware that while quick turnarounds may reflect urgency, investing time in finding the right talent remains crucial for long-term success. This data underscores the necessity for proactive recruitment approaches to attract Senior Artificial Intelligence and Machine Learning Developers in the region.

Expolore reports from other European Developer talent pools

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 Artificial Intelligence Engineer job openings is predominantly in Amsterdam, which hosts 56% of the total opportunities, making it a pivotal city for this talent pool. Utrecht follows with 20% of the job listings, while Rotterdam accounts for 11%. This concentration highlights Amsterdam's significance as the leading hub for Artificial Intelligence Machine Learning job market trends in the Netherlands.

Most sought after technologies in Amsterdam for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving job market for Artificial Intelligence and Machine Learning engineers, several technologies stand out based on their frequency of usage. The leading technology is Python, with 7,675 mentions, followed closely by SQL at 3,076. Machine Learning also plays a critical role with 4,406 references, underscoring its importance in the sector. Other notable technologies include AI, which has 2,709 occurrences, and Data Analysis, with 1,647 mentions. This data is visualized in the accompanying chart, providing further insights into current trends.

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