Machine Learning Developer Hiring Trends in Amsterdam, 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 Artificial Intelligence Machine Learning Engineers job market in Netherlands Amsterdam has recently exhibited fluctuating trends, with a peak of 14 job postings in week 23 before dropping to only 1 new posting in consecutive weeks, indicating a tightening market.
With 93% of roles offered as full-time positions, the recruitment landscape emphasizes permanent employment, aligning with hiring managers' needs to attract top talent in the sector.
Amsterdam dominates the job market, accounting for 64% of the openings for Artificial Intelligence Engineers in the Netherlands, significantly outpacing Utrecht at 23% and Rotterdam at 13%.
The average time to hire for Artificial Intelligence Engineers in the market stands at 33 days, with rapid hiring processes evident as 187 roles were filled within 30 days, indicating opportunities for swift recruitment strategies.
The current talent pool for Artificial Intelligence Machine Learning Engineers in the Netherlands is significant, but hiring managers must navigate a competitive landscape where demand often outstrips the available candidates.

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

The Artificial Intelligence Machine Learning Engineers job market in Netherlands Amsterdam has shown fluctuating trends over the past 12 weeks, with a peak in new job postings reaching 14 in week 23. However, there has been a notable decrease in job openings, plummeting to only 1 new job posted in both weeks 25 and 32, indicating a tightening market. Comparatively, the number of jobs closed during this period has remained consistently high, with closures peaking at 14 in week 26. This trend suggests a challenging landscape for hiring managers, as the number of closed roles often outpaces openings, calling for strategic approaches in recruitment for CTOs navigating this sector. Such dynamics underline the necessity for solid recruitment strategies to capture available Artificial Intelligence Machine Learning developer opportunities before they dwindle further.

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 Europe presents a varied landscape, with significant differences evident between countries. For instance, the Switzerland boasts a competitive ratio of available talent to job openings, particularly in Amsterdam, where the demand for skilled professionals is matched by a robust talent pool. In comparison, countries like Germany and France show a tighter ratio, indicating a more challenging environment for hiring in those regions. Meanwhile, the United Kingdom continues to experience a high volume of job openings alongside a moderately sized talent pool, further intensifying the competition for qualified candidates. For hiring managers and CTOs, this suggests that while opportunities abound in the Netherlands, the demand for top-tier talent necessitates strategic recruitment approaches to secure the best Artificial Intelligence Machine Learning Engineers.

Seniority distribution of Machine Learning Engineer job openings in Amsterdam

Seniority Distribution of Machine Learning Engineering Jobs in Amsterdam

In the vibrant job market of Artificial Intelligence Machine Learning engineers in Netherlands Amsterdam, the seniority distribution is notable. Mid-Senior level positions comprise 78% of the job postings, making them the most prevalent choice for hiring managers. Entry level roles follow at 15%, indicating growing opportunities for newcomers in the field. Lastly, Associate positions account for 7%, highlighting a robust entry point for professionals seeking to advance their careers in this dynamic sector.

Preferred employment type for Engineering roles in Netherlands

The employment landscape for engineering roles in the Netherlands reveals a strong preference for full-time positions, comprising 93% of available roles. Contract positions account for 5% of the job market, while part-time roles represent 2% of the total employment type distribution. This data underscores the dominant trend towards permanent employment, which is particularly relevant for hiring managers in the tech sector focused on attracting top Artificial Intelligence Machine Learning Engineers in Amsterdam.

Time to Hire Distribution for Artificial Intelligence in Netherlands

How long does it take to hire Artificial Intelligence Engineers

In the Netherlands, particularly in Amsterdam, the time to hire for Artificial Intelligence Machine Learning Engineers demonstrates a significant distribution, with 187 positions filled within a 30-day timeframe. A considerable number of roles, approximately 117, were secured within 25 days, indicating a competitive market. Conversely, hiring timelines extend beyond 100 days for only 3 roles, suggesting immediate recruitment opportunities for hiring managers. With 17 positions filled in just 5 days, it is evident that swift recruitment strategies could enhance competitiveness in this burgeoning job sector. As the demand for Artificial Intelligence Machine Learning Developers continues to rise, understanding these hiring trends is essential for CTOs and Engineering Managers to devise effective recruitment strategies in the Netherlands.

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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 that Amsterdam leads significantly with 64% of the total positions. Following Amsterdam, Utrecht accounts for 23% of the openings, making it the second-largest city for this talent pool, while Rotterdam contributes 13%. This data underscores the dominance of the capital in the Artificial Intelligence Machine Learning job market, which is further illustrated in the accompanying chart.

Most sought after technologies in Amsterdam for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Netherlands Amsterdam, certain technologies are predominant among job requirements. According to our latest data, Python ranks as the most sought-after skill, appearing in 5,250 job postings. Following Python, Machine Learning is a key focus, with 3,135 listings emphasizing this expertise. SQL and Data Science are also crucial, with 2,006 and 1,214 occurrences, respectively. Additionally, AI, with 1,621 mentions, showcases its growing importance in the industry. Notably, our chart further illustrates these technology usage trends, aiding hiring managers in their recruitment strategies.

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