Machine Learning Developer Hiring Trends in 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 Artificial Intelligence Machine Learning Engineer job market in Germany has experienced notable volatility, with a peak of 47 job openings in week 22, declining to just 5 by week 31. Hiring managers must adapt to these fluctuations as they influence candidate availability.
The talent pool consists of approximately 3,000 qualified candidates competing for around 1,000 job openings, creating a competitive recruitment landscape for CTOs and Engineering Managers.
Key cities for hiring include Berlin, which accounts for 47% of job openings, followed by Munich at 29%, and Hamburg at 11%, indicating geographic hotspots for talent acquisition in the Artificial Intelligence sector.
The majority of roles (97%) offered in the job market are Full-time positions, suggesting that hiring strategies should focus on attracting full-time candidates to meet the industry's demand for skilled professionals.
To secure talent effectively, hiring managers should be mindful that the median time to hire Artificial Intelligence Engineers in Germany is 30 days, highlighting the need for efficient recruitment processes in a competitive job market.

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

In the last 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Germany has exhibited notable fluctuations. While there was a significant spike in new positions in week 22 with 47 openings, the overall trend indicates a declining trajectory, culminating in just 5 new jobs posted in week 31. Notably, the weekly closures have been substantial, with a peak of 44 jobs closing in week 21, suggesting a tightening of suitable candidates in the market. This trend stands in stark contrast to other tech roles in Germany, where new openings may not have experienced such volatility, highlighting the unique challenges and opportunities for hiring managers seeking to attract talent in the Artificial Intelligence Machine Learning sector.

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 Artificial Intelligence Machine Learning job market in Germany currently reflects a high ratio of job openings to available talent, making the recruitment landscape competitive for hiring managers. With approximately 1,000 job openings against a talent pool of 3,000, the jobs-to-talent pool ratio indicates that finding qualified candidates is challenging. In comparison, countries like France and the Netherlands display similar trends, where job openings surpass the local talent availability, exacerbating the hiring pressures faced by CTOs and Engineering Managers. Meanwhile, the UK has also reported significant demand for Artificial Intelligence Machine Learning Engineers, leading to an overall tightening in the European landscape. This trend suggests that strategic recruitment approaches will be essential for successful talent acquisition in the German tech sector.

Seniority distribution of Machine Learning Engineer job openings in Germany

Seniority Distribution of Machine Learning Engineering Jobs in Germany

The seniority distribution for Artificial Intelligence Machine Learning Engineering jobs in Germany reveals a predominance of Mid-Senior level positions, which comprise 40% of the total roles available. Entry level positions follow closely at 38%, indicating a robust influx of new talent into the field. Additionally, Internship roles account for 12%, highlighting opportunities for budding professionals to gain invaluable experience in this evolving sector.

Preferred employment type for Engineering roles in Germany

In Germany's engineering job market, the majority of positions are filled by Full-time employment, accounting for 97% of the available roles. Part-time roles represent 4% of the employment landscape, while internships make up 2%. This distribution indicates a strong preference for Full-time engagements, which may influence recruitment strategies for Chief Technology Officers and hiring managers aiming to attract top talent in the Artificial Intelligence Machine Learning sector.

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 into the recruitment landscape. A substantial portion of candidates (203) are being secured within a 30-day timeframe, suggesting an increasing efficiency in talent acquisition strategies. However, the demand extends further, with 141 candidates hired at 15 days and 169 at 20 days. Notably, hiring managers may find that hiring times extend past 40 days, where 64 candidates were filled, underscoring the competitive nature of the job market for these specialized roles. In light of these trends, crafting effective recruitment strategies is vital for CTOs and tech leaders aiming to attract top-tier talent in the rapidly evolving sector of Artificial Intelligence.

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Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

The job market for Artificial Intelligence Machine Learning Engineers in Germany is predominantly centered in Berlin, which accounts for 47% of the total job openings. Munich follows with 29%, contributing significantly to the demand for skilled professionals. Hamburg ranks third, representing 11% of the opportunities, indicating a concentration of talent in these key cities, particularly the capital.

Most sought after technologies in Germany for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the current landscape of the Artificial Intelligence Machine Learning job market in Germany, several technologies emerge as the most commonly utilized. The most prominent language is Python, leading with a frequency of 7,675, followed by Machine Learning itself at 4,406. SQL, with 3,076 occurrences, emphasizes the importance of database management in AI applications. Additionally, Data Analysis, noted 1,647 times, highlights the necessity for robust analytical skills within this sector. The chart attached below illustrates the frequency of these technologies, providing further insights into the competencies that are driving recruitment strategies for CTOs and hiring managers in Germany's tech sector.

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