Machine Learning Developer Hiring Trends in Copenhagen, Denmark

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 Artificial Intelligence Machine Learning job market in Denmark, particularly in Copenhagen, is characterized by a highly competitive landscape, with 83% of job openings concentrated in the capital city.
Recent trends indicate fluctuating activity, with peaked job postings reaching a maximum of 9 openings in week 25 of the last 3 months, though the trend reflects a higher frequency of job closures, highlighting an intense competition for qualified candidates.
The median time to hire for Artificial Intelligence Machine Learning Engineers in Denmark stands at 33 days, with 36% of positions filled within 30 to 35 days, indicating the urgency that hiring managers must address.
Key companies actively hiring for Artificial Intelligence Machine Learning roles in this market include Danske Bank, Zendesk, and Dalux, underscoring the diverse industries looking for talent in this field.
With a talent pool size that presents challenges for recruitment, the current demand for Artificial Intelligence Machine Learning Engineers necessitates innovative recruitment strategies for CTOs and hiring managers in Denmark.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Denmark's Copenhagen has shown fluctuating activity. New job postings peaked in week 25 with 9 openings, while the average weekly count over this period indicates variability that hiring managers must consider. Notably, the closure of job listings occurred at a higher frequency, particularly in weeks 30 and 31, suggesting that while demand exists, the competition for qualified candidates remains intense. Compared to other roles within Denmark and across Europe, this trend highlights the urgent need for effective recruitment strategies for CTOs aiming to secure talent in this rapidly evolving domain.

Who else is hiring for ai Engineers in Denmark:

Company name	Country	Industry	Founded	# Job openings
Danske Bank	Denmark	Financial Services	1871	7
Zendesk	United States	Information Technology & Services	2007	4
Axelera AI	Netherlands	Semiconductors	2021	4
Dalux	Denmark	Information Technology & Services	2005	3
Netcompany	Denmark	Information Technology & Services	2000	3
The Flex	United Kingdom	Real Estate	2019	3
Playdead	Denmark	Computer Games	2006	2
Nuuday	Denmark	Telecommunications	null	2
Corti	United States	Information Technology & Services	2016	2
Corti	United States	Information Technology & Services	2016	2

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Talent pool vs job openings for Artificial Intelligence Engineers in Denmark

How competitive it is to hire Artificial Intelligence Engineers in Denmark

The talent market for Artificial Intelligence Machine Learning Engineers in Denmark, especially in Copenhagen, is increasingly competitive when compared to other European countries. With a count of job openings significantly high yet accompanied by a relatively limited talent pool, the ratio indicates a challenging recruitment landscape. For instance, Denmark has a jobs-to-talent-pool ratio that suggests hiring may be arduous, especially when juxtaposed with countries like Germany and the Netherlands, where the ratio is more favorable. Furthermore, countries such as Sweden exhibit a similar balance of job openings to available talent, which further intensifies competition for skilled professionals in this domain. Given these dynamics, hiring managers, including CTOs and Engineering Managers, need to adopt strategic recruitment methods to attract and retain top Artificial Intelligence Machine Learning developers in Denmark.

Seniority distribution of Machine Learning Engineer job openings in Copenhagen

Seniority Distribution of Machine Learning Engineering Jobs in Copenhagen

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Denmark, particularly in Copenhagen, the distribution of seniority levels reveals significant trends. Notably, 79% of positions are classified as Mid-Senior level, while Entry level roles account for 16%, and Associate positions comprise 11%. This reflects a strong demand for experienced professionals, which is crucial for CTOs and hiring managers strategizing recruitment in this competitive environment.

Preferred employment type for Engineering roles in Denmark

In Denmark, the employment type distribution for engineering roles indicates a strong preference for full-time positions, which account for 93% of job listings. Part-time roles make up 6% of the employment market, while contract positions comprise 6% as well. This data highlights the predominance of full-time employment within the Danish engineering sector, particularly relevant for hiring managers and CTOs exploring talent acquisition strategies in the region.

Time to Hire Distribution for Artificial Intelligence in Denmark

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Denmark reveals crucial insights for hiring managers in Copenhagen. A significant portion of candidates, 36%, are hired within a timeframe of 30 to 35 days, indicating a robust market with a competitive hiring pace. However, the data shows that 29% of roles take approximately 20 days or less, reflecting an urgent demand for talent in this space. The distribution further emphasizes that 28% of hires extend to 40 days, suggesting that while many positions are filled swiftly, a notable portion requires longer to secure the right candidates. This information is vital for CTOs and Engineering Managers aiming to refine their recruitment strategies in Denmark's burgeoning tech sector.

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Most popular cities in Denmark to hire Artificial Intelligence Engineers

Top 5 cities in Denmark to hire Artificial Intelligence Engineers

In Denmark, the location distribution for Artificial Intelligence Machine Learning Engineers job openings reveals a significant concentration in the capital, Copenhagen, which accounts for 83% of the total job opportunities. Aarhus follows with 14%, while Kongens Lyngby makes up 8% of the listings. This data underscores the pivotal role Copenhagen plays in the Artificial Intelligence Machine Learning job market in Denmark, as illustrated in the accompanying chart.

Most sought after technologies in Copenhagen for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Denmark, particularly in Copenhagen, several technologies consistently emerge as pivotal. Leading the pack is Python, a fundamental tool with a frequency of 5,248, underscoring its dominance in programming for AI and machine learning applications. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149, respectively, both critical for data handling and algorithm development. Additional technologies such as Data Science (1,229) and AI (1,615) further highlight the importance of robust analytic skills and AI integration in candidate profiles. For a comprehensive overview, please refer to the accompanying chart that showcases the usage frequency of these technologies.

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