Machine Learning Developer Hiring Trends in Frankfurt, Germany

This report was last updated on Jun 14, 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 Germany, particularly in Frankfurt, shows a notable disparity in job openings and closures, with a decrease in available positions, which necessitates targeted recruitment strategies.
Emerging from the data, Python leads as the preferred technology for hiring, followed by Machine Learning technologies, SQL, and Data Analysis, emphasizing the crucial skills required in the current job market.
A significant 43% of Machine Learning roles in Frankfurt are at the Mid-Senior level, revealing a strong demand for experienced professionals amid a healthy influx of entry-level talent.
Frankfurt accounts for 12% of job openings in the Artificial Intelligence landscape, continuing to solidify its role as a notable tech hub, while Berlin and Munich dominate the market with 52% and 31% respectively.
The median time to hire for Artificial Intelligence Engineers in Germany is 32 days, indicating that hiring managers should streamline their recruitment efforts to attract top candidates efficiently in this competitive environment.

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

In recent weeks, the artificial intelligence machine learning job market in Germany Frankfurt has displayed a notable imbalance between job postings and closures. While only 1 to 3 new roles were posted weekly since week 13, the region experienced significant job closures, peaking at 5 in week 15, leading to a net decline in available positions. This trend diverges from other tech positions across Germany, where a steadier stream of job openings has been reported. Moreover, a comparative analysis with similar roles in other European cities indicates that the demand for artificial intelligence machine learning engineers remains volatile, prompting recruitment strategies that emphasize talent retention and adaptability.

Who else is hiring for ai Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	9
Deloitte	United States	Management Consulting	1845	9
adesso SE	Germany	Information Technology & Services	1997	8
Trimble Inc.	United States	Information Technology & Services	1978	7
Diehl Defence	Germany	Defense & Space	1902	6
CGI	Canada	Information Technology & Services	1976	6
Constructor Knowledge	Switzerland	Higher Education	null	6
Miltenyi Biotec	Germany	Research	1989	5
Delivery Hero	Germany	Information Technology & Services	2011	5
Henkel	Germany	Mechanical Or Industrial Engineering	1876	4

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Talent pool vs job openings for Artificial Intelligence Engineers in Germany

How competitive it is to hire Artificial Intelligence Engineers in Germany

The talent market for Artificial Intelligence Machine Learning Engineers in Germany, particularly in Frankfurt, reveals a competitive landscape. Currently, Germany has a specific count of job openings that, when compared to its available talent pool, suggests a moderate hiring difficulty. Notably, countries such as France, the Netherlands, and Spain exhibit similar hiring challenges with ratios that indicate a tighter talent market. This scenario highlights the increasing demand for skilled professionals in the field, emphasizing the need for effective recruitment strategies for CTOs in Germany's tech sector. As we assess the Artificial Intelligence Machine Learning job market trends, it becomes clear that hiring Senior Artificial Intelligence Machine Learning Developers in Germany may prove to be challenging, necessitating innovative approaches to attract talent.

Seniority distribution of Machine Learning Engineer job openings in Frankfurt

Seniority Distribution of Machine Learning Engineering Jobs in Frankfurt

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Germany Frankfurt, the seniority distribution highlights critical trends for hiring managers. Notably, 43% of positions are classified as Mid-Senior level, reflecting a strong demand for experienced talent. Entry-level roles account for 34%, indicating a healthy influx of new professionals entering the field. Furthermore, only 8% of jobs are geared towards internships, suggesting a preference for candidates with at least some experience in the technology sector.

Preferred employment type for Engineering roles in Germany

In Germany's software development sector, the employment type distribution reveals a strong inclination towards full-time positions, which constitute 96% of available roles. Part-time positions account for 4%, while internships represent a smaller fraction with just 2%. This data highlights the prevailing preference for stable, long-term commitments in the hiring of engineering talent.

Time to Hire Distribution for Artificial Intelligence in Germany

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Germany reflects a diverse distribution, with the highest concentration occurring between 20 to 40 days, where 224 and 273 positions were filled respectively. This trend suggests that hiring managers in Germany, particularly in Frankfurt, may find it optimal to plan their recruitment strategies around a time frame of approximately 30 to 35 days. Additionally, the lower counts observed beyond 40 days indicate that candidates in the Artificial Intelligence sector are typically in high demand and may receive multiple offers within a shorter hiring cycle. For CTOs and recruiters, this insight highlights the urgency of adopting efficient recruitment strategies to secure top talent in this competitive market.

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Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

In the analysis of the Artificial Intelligence Machine Learning Engineers job market trends in Germany, Berlin emerges as the leading city with 52% of the total job openings, followed by Munich at 31%. Frankfurt accounts for 12% of the opportunities, underscoring its significance as a tech hub, while Hamburg contributes 7%. These figures illustrate the concentration of demand in key urban centers, as depicted in the accompanying chart.

Most sought after technologies in Frankfurt for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Germany, particularly in Frankfurt, certain technologies stand out due to their frequent usage among employers. Notably, Python leads the pack with a frequency of 12,134 occurrences, highlighting its essential role in AI and ML development. Following Python, Machine Learning technologies are referenced 6,954 times, reflecting their prominent demand. SQL and Data Analysis also feature significantly, with frequencies of 5,097 and 3,251 respectively, indicating the importance of data handling skills in this sector. The accompanying chart illustrates these trends, providing a visual representation of the most commonly used technologies tailored for hiring professionals in Germany's tech ecosystem.

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