Agency Partners

Machine Learning Developer Hiring Trends in Amsterdam, Netherlands

This report was last updated on May 24, 2025

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 Engineer job market in Netherlands Amsterdam currently faces significant challenges, with a competitive landscape as the number of closed roles consistently outpaces job openings, peaking at 44 closed positions versus 40 openings in recent weeks.
  • A notable concentration of job opportunities exists in Amsterdam, which accounts for 66% of the total roles available in the Netherlands, followed by Utrecht at 23% and Rotterdam at 12%, making these cities prime locations for hiring Artificial Intelligence Machine Learning Engineers.
  • The dominant employment type in the technology sector for these roles is full-time positions, which represent 93% of job opportunities, underscoring the strong preference of companies in Amsterdam to secure committed talent for their Artificial Intelligence initiatives.
  • Top companies actively hiring in this space include Axelera AI, TNO, and CIMSOLUTIONS, highlighting the involvement of diverse industries such as semiconductors, research, and IT services in driving demand for skilled engineers.
  • With a median timeframe of 34 days to hire Artificial Intelligence Engineers, it is crucial for hiring managers to implement efficient recruitment strategies to attract top talent quickly before they secure positions elsewhere.
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 last 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Netherlands Amsterdam has exhibited notable fluctuations. Initially, there was a peak of 40 new job openings in week 9, which sharply declined to just 2 openings by week 12. While new positions have begun to resurface with 16 openings in week 20, the overall trend indicates a significant challenge, as the number of closed roles has consistently outpaced openings, peaking at 44 closed positions in week 12. Compared to other roles across Europe, this trend suggests a tightening job market specific to AI and Machine Learning in Amsterdam, necessitating strategic hiring approaches for CTOs and engineering managers aiming to attract talent in this competitive landscape.

Who else is hiring for ai Engineers in Netherlands:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 16
TNO logo TNO Netherlands Research 1932 13
CIMSOLUTIONS logo CIMSOLUTIONS Netherlands Information Technology & Services 1992 8
Canonical logo Canonical United Kingdom Information Technology & Services 2004 7
Sogeti logo Sogeti France Information Technology & Services 1967 5
Harnham logo Harnham United Kingdom Staffing & Recruiting 2006 5
Booking.com logo Booking.com Netherlands Information Technology & Services 1996 5
ThePhoneLab logo ThePhoneLab Netherlands Telecommunications 2015 5
Fellowmind logo Fellowmind Netherlands It Services null 5
Qualcomm logo Qualcomm United States Telecommunications 1985 4

Here are a few specialized ai agencies you can trust:

Logo of recommended agencyLogo of recommended agencyLogo of recommended agency
Want to get personalized matches? Get started
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, specifically Amsterdam, showcases a competitive landscape. With a robust number of job openings relative to the available talent pool, hiring has become increasingly challenging. Comparing Netherlands to countries like Germany (with a higher job opening count and a more constrained talent pool), France (demonstrating a similar trend), and the UK (experiencing dense competition), the ratio of job openings to talent indicates a tougher hiring scenario in the Netherlands. This situation necessitates strategic recruitment approaches for CTOs and hiring managers seeking to attract skilled AI talent within Amsterdam's technology sector.

Seniority distribution of Machine Learning Engineer job openings in Amsterdam

Seniority Distribution of Machine Learning Engineering Jobs in Amsterdam

In the dynamic job market for Artificial Intelligence and Machine Learning Engineers in Netherlands, particularly in Amsterdam, the distribution of seniority levels reveals essential insights for hiring managers. Approximately 66% of positions are classified as Mid-Senior level, while Entry level roles account for around 21%, and Associate positions make up about 13%. Understanding this seniority distribution is crucial for CTOs and Engineering Managers aiming to align their recruitment strategies with the prevailing market trends.

Chart about preferred employment type for Engineering roles in Netherlands

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment landscape for engineering roles is predominantly characterized by full-time positions, which account for 93% of the job market. Contract roles represent 6% of the opportunities, while part-time positions make up 1%. This distribution highlights the strong preference for full-time employment among companies looking to hire Artificial Intelligence and Machine Learning Engineers in 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 significant insights for hiring managers. A notable 394 hires occur within the 30-day range, indicating that quick recruitment strategies may be vital for securing top talent. However, as candidates move towards the 40 and 45-day mark, the numbers drop considerably, with only 94 and 68 hires, respectively. This trend suggests a potential bottleneck in the hiring process when extending beyond 30 days. For CTOs and Engineering Managers in Amsterdam, understanding these dynamics is essential for optimizing recruitment strategies in the competitive Artificial Intelligence Machine Learning job market.

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 Engineers job openings reveals a strong concentration in Amsterdam, which accounts for 66% of the total roles in the market. Following Amsterdam, Utrecht represents 23% of the job opportunities, while Rotterdam contributes 12%. This data underscores the capital's dominance as a hub for Artificial Intelligence Machine Learning job opportunities.

Most sought after technologies in Amsterdam for Machine Learning

Key technologies for Machine Learning Engineers

The Artificial Intelligence and Machine Learning job market in the Netherlands, particularly in Amsterdam, is characterized by a strong demand for several critical technologies. Python remains the most sought-after language, with a frequency of 13,742 mentions, highlighting its prominence in developing AI and machine learning solutions. Following closely is SQL, utilized in data management with 5,896 mentions, and Machine Learning itself, a core competency with 7,875 occurrences in job postings. Additionally, cloud technologies, represented by AWS with 1,471 mentions and other cloud platforms, are increasingly integral to deployment strategies. The attached chart provides a visual representation of these technologies and their usage frequency, offering further insights into recruitment strategies for hiring managers in the tech sector.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.