Agency Partners

Machine Learning Developer Hiring Trends in Eindhoven, Netherlands

This report was last updated on Jul 6, 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 in Netherlands Eindhoven has displayed significant fluctuations in job openings and closures over the past three months, indicating an inconsistent demand landscape that may impact recruitment strategies for CTOs.
  • A total of 203 job openings for Artificial Intelligence Engineers exist in Eindhoven, accounting for 9% of the overall market, demonstrating the city's growing importance within the wider Netherlands tech ecosystem.
  • Python is the leading technology in demand, appearing 10,275 times, followed by SQL and Machine Learning, with 4,181 and 5,750 occurrences respectively, reflecting the essential skill set required for successful recruitment of candidates.
  • The median time to hire for Artificial Intelligence Engineers in the Netherlands is 32 days, with most candidates filling positions within 30 to 55 days, emphasizing the need for hiring managers to adapt their recruitment strategies accordingly.
  • The seniority distribution in Eindhoven reveals that 48% of job openings are for Mid-Senior roles, showcasing a strong demand for experienced professionals while still offering entry-level opportunities for newcomers in the Artificial Intelligence Machine Learning sector.
Number of roles opened and closed for Machine Learning Engineers in Eindhoven in the last 3 months

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

The Artificial Intelligence Machine Learning Engineers job market in Netherlands Eindhoven shows noteworthy fluctuations over the past 12 weeks. A peak was observed in week 19 with 10 new job openings, reflecting a significant increase in demand. However, this surge contrasts sharply with the closures, where multiple weeks recorded high rates, such as week 20 with 6 jobs closed. This paints a concerning picture of the hiring landscape, where the overall demand for Artificial Intelligence Machine Learning positions appears inconsistent compared to other tech roles in the region, potentially impacting recruitment strategies for CTOs in Eindhoven's growing tech sector.

Who else is hiring for ai Engineers in Netherlands:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 21
Canonical logo Canonical United Kingdom Information Technology & Services 2004 11
CIMSOLUTIONS logo CIMSOLUTIONS Netherlands Information Technology & Services 1992 11
TNO logo TNO Netherlands Research 1932 9
Harnham logo Harnham United Kingdom Staffing & Recruiting 2006 6
ThePhoneLab logo ThePhoneLab Netherlands Telecommunications 2015 5
Fellowmind logo Fellowmind Netherlands It Services null 5
Uber logo Uber United States Internet 2009 4
ML6 | Your partner in AI logo ML6 | Your partner in AI Belgium Information Technology & Services 2013 4
eBay logo eBay United States Information Technology & Services null 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 talent market for Artificial Intelligence Machine Learning Engineers in Europe exhibits significant disparities across nations. In the Netherlands, particularly in Eindhoven, there are a notable number of job openings for these roles. In comparison to the available talent pool, countries like Germany, France, and the United Kingdom reflect a similar dynamic, where positioning for talent can be competitive. The ratio of job openings to the talent pool indicates that while the Netherlands has a robust landscape for Artificial Intelligence Machine Learning opportunities, the availability of qualified candidates may be limited, making it challenging for hiring managers to find suitable profiles. This trend underlines the importance of adaptive recruitment strategies for CTOs and Engineering Managers seeking to attract top talent in Eindhoven's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Eindhoven

Seniority Distribution of Machine Learning Engineering Jobs in Eindhoven

In the burgeoning Artificial Intelligence Machine Learning job market in Netherlands Eindhoven, the seniority distribution reveals significant insights for hiring managers. The majority of positions are at the Mid-Senior level, comprising 48% of job opportunities, followed by Associate roles at 13%, and Entry level positions accounting for 12%. This data highlights the growing demand for experienced professionals, while also indicating opportunities for those entering the field.

Chart about preferred employment type for Engineering roles in Netherlands

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment type distribution for engineering roles showcases a clear preference for full-time positions, which comprise 93% of available jobs. Contract roles account for 6%, while part-time opportunities represent 1% of the market. This trend reflects the growing demand for stability and long-term commitment from both employers and engineering professionals.

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 demonstrates a diverse distribution, with the majority of candidates being hired within a 30 to 55-day window. Notably, 260 positions were filled in 30 days, followed closely by 193 hires at 25 days. As hiring managers and CTOs in Eindhoven navigate the competitive job market, understanding these hiring trends is crucial for formulating effective recruitment strategies. The data indicates a gradual increase in the time to hire beyond 35 days, highlighting potential delays in attracting top talent. Staying informed about these timeframes will enable tech leads to optimize their hiring processes and remain competitive in the rapidly evolving Artificial Intelligence landscape.

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 demand for Artificial Intelligence Engineers is predominantly concentrated in major cities. Amsterdam leads the way with 1310 job openings, reflecting 62% of the total opportunities in the country. Following Amsterdam, Utrecht and Rotterdam account for 20% and 11% of the job market respectively, with 455 and 258 positions available. Eindhoven, with its growing tech ecosystem, offers 203 openings, representing 9% of the overall market, highlighting its significance in the Artificial Intelligence Machine Learning job market.

Most sought after technologies in Eindhoven for Machine Learning

Key technologies for Machine Learning Engineers

The most commonly used technologies for Artificial Intelligence Machine Learning jobs highlight the growing demands of the market in Netherlands Eindhoven. Notably, Python leads the landscape with a frequency of 10,275 occurrences, underscoring its pivotal role in machine learning applications. Following closely are SQL, which appears 4,181 times, and Machine Learning itself, with a frequency of 5,750, indicating a robust reliance on these languages and frameworks. Other notable technologies include Data Analysis and Data Science, showcasing their integration into AI/ML projects, with frequencies of 2,511 and 2,090 respectively. The accompanying chart provides a visual representation of these data points, offering deeper insights into technology utilization in the 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.