Machine Learning Developer Hiring Trends in Copenhagen, Denmark

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Denmark's capital, Copenhagen, has seen varying trends, with a peak of 9 new roles in week 25 and a significant competitive landscape reflected by 750 job openings against a talent pool of 1,500 engineers.
Python, SQL, and Machine Learning technologies dominate with substantial representation across job postings, indicating their critical importance in the Artificial Intelligence Machine Learning job market in Denmark, particularly in Copenhagen.
The seniority distribution in Copenhagen reveals a predominance of Mid-Senior level positions at 52%, highlighting potential alignment challenges for hiring managers and recruiters seeking to fill roles in this competitive field.
Copenhagen is the primary hub for Artificial Intelligence Engineer opportunities in Denmark, accounting for 84% of openings, followed by Aarhus at 15%, emphasizing the significance of this city in recruitment strategies for tech leads and hiring managers.
The median time to hire for Artificial Intelligence Engineers in Denmark stands at 33 days, reflecting the urgency among companies to secure talent in this rapidly evolving landscape, thereby necessitating strategic recruitment approaches for CTOs and engineering managers.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Denmark's capital, Copenhagen, has exhibited fluctuating trends. Notably, the highest number of job postings occurred in week 25, with 9 new roles unveiled, contrasting sharply with just 1 posting in both weeks 28 and 30. Meanwhile, the closure of positions has been more consistent, peaking at 14 closed roles in week 21, which reflects a compression in available talent amidst a competitive recruitment landscape. Compared to other tech roles within the region and across Europe, the demand for AI and Machine Learning professionals is becoming increasingly pronounced, highlighting the necessity for CTOs and engineering leaders to refine their recruitment strategies in this evolving tech sector.

Who else is hiring for ai Engineers in Denmark:

Company name	Country	Industry	Founded	# Job openings
Zendesk	United States	Information Technology & Services	2007	5
Danske Bank	Denmark	Financial Services	1871	5
Axelera AI	Netherlands	Semiconductors	2021	4
Dalux	Denmark	Information Technology & Services	2005	3
Netcompany	Denmark	Information Technology & Services	2000	3
Corti	United States	Information Technology & Services	2016	3
Specialisterne Danmark	Denmark	Information Technology & Services	2004	3
Nuuday	Denmark	Telecommunications	null	2
Agilent Technologies	United States	Research	1999	2
EUTALENTS	Denmark	Human Resources Services	null	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, particularly in Copenhagen, presents a challenging landscape for hiring managers. With a job opening count of 750 and a talent pool of 1,500, the ratio of talent availability results in a jobs-to-talent pool figure of 2.0, indicating a moderate level of competition for talent. When compared to other European countries, such as Germany, which boasts a jobs-to-talent pool ratio of 1.5, and the Netherlands with a ratio of 1.8, Denmark is slightly more favorable for recruitment. However, in contrast to Poland, where the ratio stands at an impressive 3.0, it is evident that acquiring top-tier AI talent in Denmark may be more arduous. This data emphasizes the need for refined recruitment strategies for CTOs and tech leads aiming to secure skilled candidates in the evolving Artificial Intelligence Machine Learning job market in Denmark, Copenhagen.

Seniority distribution of Machine Learning Engineer job openings in Copenhagen

Seniority Distribution of Machine Learning Engineering Jobs in Copenhagen

The current seniority distribution for Artificial Intelligence Machine Learning Engineering roles in Denmark's capital, Copenhagen, reveals a predominance of Mid-Senior level positions at 52%. Entry level roles comprise 17%, while Associate positions account for 9%. This distribution highlights potential challenges and opportunities for hiring managers and recruiters in aligning their strategies with the prevailing market landscape.

Preferred employment type for Engineering roles in Denmark

In Denmark's engineering landscape, the employment type distribution reveals a strong preference for full-time positions, which constitute 93% of the total job market. Contract roles account for 6%, while part-time positions represent 1%. This distribution underscores the significant demand for stable and long-term employment opportunities in the tech sector, particularly for roles such as Artificial Intelligence and Machine Learning Engineers in Copenhagen.

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 reflects a competitive landscape. Notably, a significant portion of candidates are hired within 30 days, with 159 placements recorded in this timeframe. As hiring trends in the Copenhagen tech sector evolve, 44 candidates were hired in 15 days, while 87 were hired within 25 days, indicating a growing urgency among companies to secure top talent quickly. This trend highlights the need for effective recruitment strategies for CTOs, as the demand for qualified professionals continues to rise. Hiring managers should be prepared for varying timelines, with hiring persisting up to 100 days for fewer candidates.

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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 distribution of Artificial Intelligence Engineers job openings is notably concentrated in the capital city, Copenhagen, which accounts for 84% of the total job opportunities in this field. Following Copenhagen, Aarhus represents 15% of the openings, while Kongens Lyngby contributes a mere 1%. These figures highlight the dominance of Copenhagen as a primary hub for Artificial Intelligence Machine Learning job roles in the region, a trend illustrated further in the accompanying chart.

Most sought after technologies in Copenhagen for Machine Learning

Key technologies for Machine Learning Engineers

In the Artificial Intelligence and Machine Learning job market in Denmark, particularly in Copenhagen, certain technologies dominate the landscape. Python emerges as the most prevalent technology, utilized in 7,675 job postings, reflecting its significance in AI and Machine Learning applications. Following closely is SQL, present in 3,076 postings, which plays a critical role in data management and analysis. Machine Learning itself accounts for 4,406 postings, indicating its growing importance. Other noteworthy technologies include AI with 2,709 postings, C++ at 839, and Java with 1,202 postings. A detailed chart accompanies this analysis, providing further insights into these trends.

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