Machine Learning Developer Hiring Trends in Berlin, Germany

This report was last updated on Sep 6, 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 and Machine Learning Engineers in Germany, particularly in Berlin, has seen a total of 45 new positions opened against 57 closures over the last three months, indicating a tightening landscape.
Berlin remains the leading hub for Artificial Intelligence roles in Germany, accounting for 52% of the total job openings in this sector, followed by Munich at 31% and Hamburg at 12%.
The talent pool for Artificial Intelligence Machine Learning Engineers in Germany is increasingly competitive, with a challenging jobs-to-talent ratio that may hinder hiring managers in filling positions compared to neighboring markets.
Senior-level positions dominate the hiring landscape, with 62% of available roles targeting Mid-Senior professionals, suggesting a clear demand for experienced talent within the Berlin tech sector.
The median time to hire for Artificial Intelligence Engineers in Germany stands at 32 days, emphasizing the necessity for efficient recruitment strategies from CTOs and hiring managers to secure top talent in this dynamic market.

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

The job market for Artificial Intelligence and Machine Learning Engineers in Germany Berlin exhibits a nuanced trend over the past 12 weeks, with a total of 45 positions opened compared to 57 closures. Notably, the peak activity occurred in week 26 with 8 new postings, while weeks 30 and 31 saw a significant drop to just 1 and 2 openings, respectively. This decline in job openings reflects a tightening market, juxtaposed with growing hiring demands across other European regions, indicating that while opportunities still exist, hiring managers must adopt agile recruitment strategies to attract top talent amid fluctuating job dynamics.

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 talent market for Artificial Intelligence and Machine Learning Engineers in Europe reflects a competitive landscape, particularly in Germany. With a count of job openings standing significantly high, the available talent pool ratio indicates a challenge for hiring managers in sourcing suitable candidates. In Germany, the jobs-to-talent pool ratio suggests that it may be harder to fill positions compared to neighboring countries such as France and the Netherlands, where talent is more abundant relative to job openings. Meanwhile, Spain shows a similar trend, indicating heightened competition for skilled professionals. As such, recruitment strategies for CTOs in Germany Berlin's tech sector need to adapt to these dynamics, focusing on attracting top talent by highlighting unique value propositions.

Seniority distribution of Machine Learning Engineer job openings in Berlin

Seniority Distribution of Machine Learning Engineering Jobs in Berlin

In the competitive Artificial Intelligence Machine Learning job market in Germany, particularly in Berlin, the seniority distribution showcases a strong demand for Mid-Senior level professionals, comprising 62% of the available positions. This is followed by Entry level roles at 20% and Associate positions at 10%. Such trends indicate a significant need for experienced talent, providing valuable insights for recruitment strategies within Germany Berlin's tech sector.

Preferred employment type for Engineering roles in Germany

In the German software development job market, full-time positions dominate, accounting for 96% of opportunities, followed by part-time roles at 4%. Internships represent a minor segment at 2%, illustrating a strong preference for full-time employment among Artificial Intelligence Machine Learning Engineer roles. This distribution highlights the necessity for hiring managers, particularly CTOs and Engineering Managers, to tailor their recruitment strategies accordingly.

Time to Hire Distribution for Artificial Intelligence in Germany

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Germany reveals significant insights for hiring managers. Notably, the majority of job openings are filled within 30 to 40 days, with 215 positions hiring at the 30-day mark, followed closely by 168 at 35 days. However, a noticeable drop occurs for hires beyond 40 days, where only 83 positions are filled at the 40-day mark. This data suggests that the artificial intelligence job market in Germany, particularly in cities like Berlin, is highly competitive, highlighting the importance of efficient recruitment strategies for CTOs and HR teams in the tech sector.

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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 job market, Berlin stands out as the leading hub in Germany, accounting for 52% of the total job openings in this sector. Following Berlin, Munich represents 31% of the opportunities, while Hamburg contributes 12%. These statistics, illustrated in the accompanying chart, highlight the capital's dominance and the concentrated demand for Artificial Intelligence Machine Learning Engineers in Germany.

Most sought after technologies in Berlin for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the Artificial Intelligence Machine Learning job market trends in Germany, particularly in Berlin, certain technologies emerge as vital to the hiring landscape. Python leads the pack with a substantial frequency of 5,248, highlighting its dominance in Machine Learning and AI projects. Close behind are SQL and Data Science, recording 1,995 and 1,229 usages respectively, underscoring their critical roles in data management and analytical tasks. Additionally, Machine Learning itself has a noteworthy presence with 3,149 mentions, followed by AI at 1,615. The accompanying chart details these technologies and their frequency, providing further insights into the recruitment strategies for CTOs and hiring managers in Germany Berlin's tech sector.

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