Machine Learning Developer Hiring Trends in Berlin, Germany

This report was last updated on Aug 9, 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 job market for Artificial Intelligence Machine Learning Engineers in Germany Berlin is dynamic, with notable activity observed over the past three months, including a peak of 14 new job postings in week 22.
The talent pool in Germany for Artificial Intelligence Machine Learning Engineers is substantial, supported by Berlin's status as the leading hub, accounting for 39% of job openings in Germany, followed by Munich at 24%.
Notable employers in this sector include TieTalent, Trimble Inc., and adesso SE, with hiring demands indicating a necessity for innovative recruitment strategies to secure top talent amid the competitive landscape.
Hiring for Artificial Intelligence Machine Learning Engineers is currently challenging due to a high demand that exceeds supply, requiring proactive approaches from hiring managers.
The median time to hire for Artificial Intelligence Engineers in Germany is approximately 30 days, underscoring the competitive environment and the need for effective recruitment strategies tailored to this rapidly evolving field.

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

In the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Germany Berlin has demonstrated fluctuating activity. Notably, there was a peak in week 22 with 14 new job postings, significantly higher than the less than 5 openings seen in surrounding weeks. However, this surge contrasts with the total number of closed jobs, which has consistently remained high, peaking at 9 closures in week 21. This discrepancy indicates a challenging hiring landscape where demand exceeds supply, highlighting the need for robust recruitment strategies among CTOs and engineering managers looking to capitalize on the growing market of Artificial Intelligence Machine Learning Developer opportunities in Germany Berlin. Compared to other roles within Germany Berlin and Europe, the volatility in the Artificial Intelligence Machine Learning sector emphasizes the urgent requirement for innovative hiring practices to secure top talent.

Who else is hiring for ai Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	13
Trimble Inc.	United States	Information Technology & Services	1978	11
adesso SE	Germany	Information Technology & Services	1997	11
Microsoft	United States	Information Technology & Services	1975	11
Deloitte	United States	Management Consulting	1845	10
Thoughtworks	United States	Information Technology & Services	1993	9
Canonical	United Kingdom	Information Technology & Services	2004	6
Autodesk	United States	Information Technology & Services	1982	6
PwC Deutschland	Germany	Management Consulting	1924	6
voize	Germany	Information Technology & Services	2020	6

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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 across Europe exhibits significant variability, with Germany leading in both job openings and available talent pool. In Germany, particularly in Berlin, the count of job openings stands at a noteworthy level compared to its significant talent pool, indicating a relatively challenging environment for hiring managers. When comparing Germany to other countries such as France and the Netherlands, we observe that while these nations also showcase viable job openings, their talent pools are smaller, impacting the ease of recruitment. This disparity suggests that hiring demand is intensifying, especially in Germany, highlighting the need for effective recruitment strategies for CTOs and Engineering Managers to attract top candidates. As hiring trends evolve, staying attuned to these dynamics in the Artificial Intelligence Machine Learning sector will be crucial for successful talent acquisition.

Seniority distribution of Machine Learning Engineer job openings in Berlin

Seniority Distribution of Machine Learning Engineering Jobs in Berlin

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Germany Berlin, the distribution of seniority clearly reflects the evolving demand. Currently, 49% of available positions are at the Mid-Senior level, followed by 18% at the Entry level and 7% for Associate roles. This trend illustrates the significant emphasis on experienced professionals while still providing opportunities for those entering the field.

Preferred employment type for Engineering roles in Germany

The employment type distribution for engineering roles in Germany reveals a strong preference for full-time positions, accounting for 94% of job opportunities. Part-time roles represent 4% of the market, while internships comprise 2%. This highlights the importance of full-time employment options in attracting top talent, particularly in the field of Artificial Intelligence and Machine Learning in Berlin.

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 exhibits a notable distribution, with the greatest frequency of hires occurring between 20 to 30 days, where 203 positions were filled within this timeframe. A significant count of 141 hires were recorded at the 15-day mark, illustrating a competitive recruitment environment. In contrast, fewer placements occurred beyond 70 days, indicating potential challenges in sourcing qualified candidates as hiring timelines extend. This data reflects the urgency for recruitment strategies that can adapt to the swift pace of the Artificial Intelligence Machine Learning job market in Germany, particularly in Berlin. As the demand for skilled professionals continues to rise, understanding these hiring patterns will be essential for hiring managers and CTOs aiming to secure top talent.

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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 competitive landscape of the Artificial Intelligence Machine Learning job market in Germany, Berlin stands out as the leading hub, accounting for 39% of the total job openings. Munich follows as a significant player with 24%, while Hamburg holds a 9% share. This distribution highlights Berlin's pivotal role in attracting talent, making it a focal point for hiring managers in the tech sector. Please refer to the attached chart for a detailed visualization of the data.

Most sought after technologies in Berlin for Machine Learning

Key technologies for Machine Learning Engineers

In the current Artificial Intelligence and Machine Learning job market, particularly in Germany's Berlin, certain technologies are predominantly emphasized by employers. Data indicates that Python leads with a frequency of 7,675, showcasing its pivotal role in AI and Machine Learning development. Following Python, SQL and Machine Learning technologies have significant representation, with frequencies of 3,076 and 4,406, respectively. Additionally, AI itself, with a frequency of 2,709, highlights the core focus on artificial intelligence solutions. This data is further illustrated in the accompanying chart, which outlines the prevalence of these technologies across job postings.

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