Machine Learning Developer Hiring Trends in Germany

This report was last updated on Sep 7, 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 job market in Germany is experiencing a dynamic shift, with a notable peak of 21 new job openings in week 24, which subsequently declined to a low of 7 in week 27, indicating a challenging recruitment landscape.
The current talent pool for Artificial Intelligence Machine Learning Engineers in Germany is becoming increasingly competitive, with a significant number of companies hiring, including major players like Microsoft, TieTalent, and adesso SE, which highlights the urgency of adopting innovative recruitment strategies.
Berlin emerges as the foremost city for Artificial Intelligence Engineer job openings, accounting for 41% of positions, followed by Munich at 25% and Hamburg at 10%, underscoring the concentration of demand in key urban tech hubs.
The median time to hire for Artificial Intelligence Machine Learning Engineers in Germany stands at 32 days, with the majority of roles filled within a 30 to 40 day range, emphasizing the need for swift and effective recruitment processes.
The distribution of job roles indicates that 46% of available positions are Mid-Senior level, and 31% are Entry-level, suggesting a clear need for tailored recruitment efforts targeting various experience levels to meet the evolving demands in the AI and Machine Learning sectors.

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

The current trends in the Artificial Intelligence Machine Learning Engineer job market in Germany reveal a fluctuating demand over the past 12 weeks. With a peak of 21 new positions opening in week 24, the number of newly posted roles has gradually declined to a low of 7 in week 27, reflecting a challenging landscape for recruitment. Conversely, job closures saw a marked increase, peaking at 34 in week 28, indicating heightened competition within the sector. When compared to other technology roles in Germany and across Europe, these hiring trends suggest that Artificial Intelligence Machine Learning developers are facing a unique market dynamic, necessitating strategic recruitment approaches from CTOs and hiring managers to attract talent amid a tightening job pool.

Who else is hiring for ai Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
Microsoft	United States	Information Technology & Services	1975	81
TieTalent	Switzerland	Information Technology & Services	2017	42
adesso SE	Germany	Information Technology & Services	1997	11
voize	Germany	Information Technology & Services	2020	11
Thoughtworks	United States	Information Technology & Services	1993	10
Speechify	Ukraine	Information Technology & Services	2017	9
STACKIT	Germany	Information Technology & Services	2019	9
F11	Germany	Marketing & Advertising	2014	9
Trimble Inc.	United States	Information Technology & Services	1978	8
CGI	Canada	Information Technology & Services	1976	8

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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 demand for Artificial Intelligence Machine Learning Engineers in Germany is currently experiencing notable growth, with a substantial number of job openings driving competition for skilled professionals. In comparison with other key European markets, Germany has a jobs-to-talent pool ratio that indicates a challenging hiring landscape, as the proportion of available talent does not sufficiently meet the increasing demand. For instance, neighboring countries like France and the Netherlands show similar trends, but they boast slightly better talent availability relative to job openings, making it comparatively easier to recruit in those regions. Furthermore, in Eastern European markets such as Poland, the ratio is more favorable for hiring managers, presenting opportunities for German tech firms to consider cross-border recruitment strategies. Overall, recruitment strategies for CTOs in Germany’s tech sector will need to be increasingly innovative to attract the top talent necessary to fill the growing demand for Artificial Intelligence Machine Learning Engineer roles.

Seniority distribution of Machine Learning Engineer job openings in Germany

Seniority Distribution of Machine Learning Engineering Jobs in Germany

In the German job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals significant insights into hiring trends. Currently, 46% of available positions are classified as Mid-Senior level, while Entry level roles account for 31%. Additionally, Associate positions represent 8% of the job postings. This distribution highlights the need for targeted recruitment strategies for CTOs and hiring managers looking to attract talent across varying experience levels within the AI and Machine Learning sectors.

Preferred employment type for Engineering roles in Germany

In Germany's engineering job market, the majority of positions are full-time, accounting for 95% of the employment distribution. Part-time roles constitute 4%, while internships comprise 2%. This distribution highlights a strong preference for full-time engagements, which may influence recruitment strategies for CTOs and hiring managers looking to secure Artificial Intelligence Machine Learning Engineers.

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 Engineer positions in Germany reveals significant variability, reflecting the competitive landscape of the tech sector. A notable peak occurs within the 30-day range, where 212 positions were filled, emphasizing the urgency for recruitment in this high-demand field. The majority of hires tend to be completed between 10 to 40 days, with 123 and 126 counts respectively, indicating a crucial window for hiring managers to optimize their recruitment strategies. Interestingly, as the hiring timeline extends beyond 50 days, the count of successful placements diminishes, suggesting potential challenges in attracting suitable candidates. Understanding these hiring trends is essential for CTOs, Engineering Managers, and recruiters aiming to refine their workforce strategies in the rapidly evolving Artificial Intelligence Machine Learning job market in Germany.

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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 analyzing the location distribution for Artificial Intelligence Engineer job openings in Germany, Berlin stands out as the leading city, accounting for 41% of the total positions available. Munich follows with 25%, showcasing its significance as a tech hub. Hamburg ranks third, contributing 10% to the overall job market. These figures underscore the concentrated demand in key urban centers, particularly in the capital, Berlin, as illustrated in the accompanying chart.

Most sought after technologies in Germany for Machine Learning

Key technologies for Machine Learning Engineers

The analysis of the Artificial Intelligence Machine Learning job market in Germany reveals a clear preference for specific programming languages and technologies. Python stands out as the most utilized technology, with a frequency of 5,248, making it essential for Machine Learning roles. Followed closely, SQL shows a significant presence at 1,995 occurrences, emphasizing the importance of database management skills. Data Science, with 1,229 mentions, indicates a strong demand for professionals who can synthesize insights from data. Additionally, Machine Learning itself is a trending keyword, appearing 3,149 times, showcasing its critical role in current and future job openings. A detailed overview of these technologies is illustrated in the accompanying chart.

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