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Machine Learning Developer Hiring Trends in Hamburg, Germany

This report was last updated on Jun 14, 2025

Bence Gedai / Founder

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 Hamburg has seen 9 new roles posted over the last 12 weeks, alongside a noteworthy number of closures, highlighting a challenging environment for hiring managers.
  • Top hiring companies in Germany for Artificial Intelligence Machine Learning Engineers include adesso SE, Deloitte, and TieTalent, emphasizing the competitive landscape within the region.
  • Full-time positions dominate the market, comprising 96% of job openings, underscoring a strong preference for stable employment in the tech sector.
  • With a median time to hire of 32 days, the urgency for hiring managers to act swiftly is evident, as candidates are being placed quickly in a highly competitive job market.
  • Hamburg accounts for 11% of the total AI Engineer job openings in Germany, positioning it as a significant player, though Berlin and Munich remain the top cities for tech recruitment.
Number of roles opened and closed for Machine Learning Engineers in Hamburg in the last 3 months

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

In the last 12 weeks, the Artificial Intelligence Machine Learning job market in Germany Hamburg has demonstrated fluctuating activity levels, with a total of only 9 new positions posted compared to a significant number of closures. Notably, weeks 14 through 20 witnessed a drop in new job postings, with only 1 new role opened in week 20. Conversely, the rate of job closures was much higher, peaking at 4 closures in week 20 alone. This stark contrast highlights the competitive landscape for Artificial Intelligence Machine Learning Engineers in Germany Hamburg, particularly when compared to similar roles in other European tech hubs, where openings consistently outnumber closures. For hiring managers, understanding these trends is crucial for shaping effective recruitment strategies and meeting the future demand for skilled professionals in this evolving sector.

Who else is hiring for ai Engineers in Germany:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 9
Deloitte logo Deloitte United States Management Consulting 1845 9
adesso SE logo adesso SE Germany Information Technology & Services 1997 8
Trimble Inc. logo Trimble Inc. United States Information Technology & Services 1978 7
Diehl Defence logo Diehl Defence Germany Defense & Space 1902 6
CGI logo CGI Canada Information Technology & Services 1976 6
Constructor Knowledge logo Constructor Knowledge Switzerland Higher Education null 6
Miltenyi Biotec logo Miltenyi Biotec Germany Research 1989 5
Delivery Hero logo Delivery Hero Germany Information Technology & Services 2011 5
Henkel logo 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 current landscape for Artificial Intelligence Machine Learning Engineers reveals a competitive job market in Germany, particularly in cities like Hamburg. With a job opening count significantly outpacing the talent pool, the ratio indicates hiring may be challenging for CTOs and engineering managers. For instance, countries such as France and the Netherlands are witnessing similar trends, where demand is high yet the availability of qualified candidates remains limited. On the other hand, Eastern European countries like Poland exhibit a more favorable jobs-to-talent ratio, suggesting easier recruitment opportunities. As hiring managers assess recruitment strategies, understanding these dynamics will be essential in navigating the complexities of the Artificial Intelligence Machine Learning job market.

Seniority distribution of Machine Learning Engineer job openings in Hamburg

Seniority Distribution of Machine Learning Engineering Jobs in Hamburg

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Germany Hamburg, the seniority distribution reflects distinct hiring trends. Notably, 44% of job openings are at the Mid-Senior level, while Entry level positions account for 41%. Additionally, Associate roles, though fewer in number, comprise approximately 10% of the available opportunities. This distribution indicates a strong demand for seasoned professionals, providing valuable insights for recruitment strategies.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In the German software development job market, full-time positions dominate, comprising 96% of available roles. Part-time employment accounts for 4% of the job offerings, while internship opportunities represent a minimal 2% share. This distribution highlights the strong preference for full-time engagements among employers in the technology 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 positions in Germany reveals significant insights into the hiring landscape. The majority of candidates, totaling 224, were hired within 25 days, while 293 candidates found positions within 35 days, indicating a competitive job market for Artificial Intelligence Machine Learning Engineers. Conversely, hiring beyond 40 days diminishes significantly, with the count declining to only 81 by day 40, underscoring a critical period for recruiters. This trend highlights the urgency for CTOs and hiring managers in the Germany Hamburg region to optimize their recruitment strategies, focusing on swift decision-making to attract top talent amidst increasing demand. Understanding these hiring timelines will be essential for effectively filling Artificial Intelligence Machine Learning Engineer roles in a timely manner.

Expolore reports from other European Developer talent pools

Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

In the current job market for Artificial Intelligence Engineers in Germany, Berlin leads with 46% of the total openings, followed by Munich at 28%. Hamburg, while significant, accounts for 11% of the job listings, showcasing its vital role in the tech landscape. The capital remains the most dominant city, as illustrated in the accompanying chart.

Most sought after technologies in Hamburg for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the most commonly utilized technologies within the Artificial Intelligence and Machine Learning job market, the data reveals Python as the most prevalent language, used in 12,134 job postings. Following Python, Machine Learning ranks second with 6,954 mentions, underscoring its critical role in the field. SQL also plays a significant part with 5,097 instances, enabling effective data management and querying. Additionally, the use of AI technologies is highlighted across 4,603 postings, indicating a strong focus on artificial intelligence components. The chart attached provides a comprehensive overview of the frequency of these technologies, exemplifying the technical competencies that hiring managers should prioritize when considering candidates for roles in Germany's dynamic Hamburg market.

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