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Artificial Intelligence Developer Hiring Trends in Eindhoven, Netherlands

This report was last updated on Sep 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 Engineers job market in Netherlands Eindhoven has shown significant fluctuations recently, with a current average of 3.25 new positions posted weekly, alongside a worrying increase in job closures, emphasizing the urgency for effective recruitment strategies.
  • The talent pool for Artificial Intelligence Engineers is currently limited, putting pressure on hiring managers, particularly as competition intensifies, with hiring estimated to be challenging for those seeking qualified candidates.
  • The top companies hiring in this space include Axelera AI, CIMSOLUTIONS, and TNO, which underscores the diverse industries exploring Artificial Intelligence solutions.
  • Eindhoven is among the top cities for Artificial Intelligence Engineer opportunities, alongside Amsterdam and Utrecht, which collectively dominate the Dutch job market in this field, catering to the growing demand for AI expertise.
  • The median time to hire an Artificial Intelligence Engineer in Netherlands Eindhoven is 33 days, indicating a relatively quick recruitment process, which hiring managers should consider when planning their hiring strategies.
Number of roles opened and closed for Artificial Intelligence Engineers in Eindhoven in the last 3 months

Number of roles opened and closed for Artificial Intelligence Engineers in Eindhoven in the last 3 months

In recent weeks, the Artificial Intelligence Engineers job market in Netherlands Eindhoven has shown noteworthy activity. Over the last 12 weeks, the number of new jobs posted experienced some fluctuations, peaking at 6 openings in week 34, while the total counts revealed an average of 3.25 new positions per week. However, this trend contrasts sharply with job closures, which surged significantly, culminating in 13 jobs closed in week 35. For hiring managers, this discrepancy suggests a tightening market for Artificial Intelligence Developer opportunities in Netherlands Eindhoven, highlighting the urgent need for effective recruitment strategies. Compared to other roles within the tech sector, the increasing demand for Artificial Intelligence talent in Eindhoven indicates a growing competitiveness that could influence hiring trends across Europe.

Who else is hiring for ai Engineers in Netherlands:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 12
CIMSOLUTIONS logo CIMSOLUTIONS Netherlands Information Technology & Services 1992 10
Harnham logo Harnham United Kingdom Staffing & Recruiting 2006 8
TNO logo TNO Netherlands Research 1932 7
Adyen logo Adyen Netherlands Financial Services 2006 5
Philips logo Philips Netherlands Hospital & Health Care 1891 5
CGI Nederland logo CGI Nederland null null null 5
Sweco logo Sweco Sweden Professional Training & Coaching 1889 5
ThePhoneLab logo ThePhoneLab Netherlands Telecommunications 2015 5
ML6 | Your partner in AI logo ML6 | Your partner in AI Belgium Information Technology & Services 2013 5

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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 Engineers across Europe reveals varying degrees of competition and availability. In the Netherlands, particularly in Eindhoven, there is a significant number of job openings compared to the available talent pool, indicating a challenging hiring environment for employers. For example, countries like Germany and the United Kingdom exhibit similar trends, where job openings outpace the talent pool, increasing the difficulty in recruitment. However, nations such as Poland present a contrasting scenario with a more favorable jobs-to-talent ratio, suggesting that hiring may be less strenuous in these regions. Overall, as hiring managers consider recruitment strategies for CTOs and other leadership roles, understanding these dynamics will be essential for attracting qualified Artificial Intelligence professionals in the Netherlands and beyond.

Seniority distribution of Artificial Intelligence Engineer job openings in Eindhoven

Seniority Distribution of Artificial Intelligence Engineering Jobs in Eindhoven

In the Artificial Intelligence job market in Netherlands Eindhoven, the seniority distribution reveals a predominant focus on Mid-Senior level positions, which account for 54% of available roles. This is followed by Internship and Associate positions, each comprising 12% of the job market. The notable emphasis on Mid-Senior level roles highlights the demand for experienced talent while also indicating opportunities for entry-level candidates aiming to grow in 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 reveals a strong preference for Full-time positions, accounting for 94% of available jobs. Contract roles represent 6% of the job market, while Part-time roles constitute approximately 5%. This data underscores the dominance of Full-time opportunities in the Artificial Intelligence engineers job market, particularly in cities like Eindhoven.

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 jobs in the Netherlands, specifically in Eindhoven, presents varied distribution patterns. Notably, the majority of candidates (173) are hired within a 30-day timeframe, indicating a streamlined recruitment process that reflects the high demand for Artificial Intelligence Engineers. However, as the timeline extends, hiring trends reveal a gradual decline in candidate availability, with only 3 candidates hired within 90 to 100 days. As hiring managers and CTOs strategize their recruitment for Artificial Intelligence roles in Eindhoven, understanding these timeframes will be crucial in aligning their hiring processes with market expectations.

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 job market for Artificial Intelligence Engineers is predominantly concentrated in Amsterdam, which accounts for 46% of the total job openings. Following Amsterdam, Utrecht represents 16% of the opportunities, while Rotterdam and Eindhoven contribute 9% and 7% respectively. Notably, Eindhoven's job market is significant for hiring managers focusing on regional talent, as it positions itself among the top cities, underscoring the competitive landscape depicted in the accompanying chart.

Most sought after technologies in Eindhoven for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the competitive landscape of the Artificial Intelligence job market in the Netherlands, particularly in Eindhoven, certain technologies stand out due to their frequency of usage among employers. The most sought-after technology among hiring managers is Python, utilized in 7,472 job listings, followed closely by Machine Learning, with 5,033 occurrences. Other significant technologies include SQL, featured in 1,995 listings, and AI itself, appearing in 4,376 job postings. Furthermore, Data Science and NLP (Natural Language Processing) reflect notable frequencies of 1,464 and 870, respectively. For a detailed view, refer to the accompanying chart that visualizes these data points.

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