Machine Learning Developer Hiring Trends in 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

The job market for Artificial Intelligence Machine Learning Engineers in Denmark is experiencing dynamic fluctuations, characterized by a peak of 9 job postings per week during weeks 22 and 23, while also reflecting a high closure rate, suggesting a tightening market for talent.
Copenhagen emerges as the dominant city for Artificial Intelligence Machine Learning job openings, accounting for 83% of available roles, followed by Aarhus and Kongens Lyngby, which collectively represent a small fraction of the market.
The seniority distribution for Artificial Intelligence Machine Learning roles indicates that 41% of positions available are at the Mid-Senior level, highlighting opportunities for both entry-level talent and a strong emphasis on nurturing new professionals through internships, which make up 11% of the market.
The current hiring environment for Artificial Intelligence Machine Learning Engineers in Denmark is competitive, with a talent pool size that presents challenges when compared to other European markets. CTOs and hiring managers must adopt tailored recruitment strategies to attract top talent in this landscape.
The median time to hire for Artificial Intelligence Engineers in Denmark is approximately 33 days, indicating that the recruitment process requires efficiency to remain competitive, particularly as 80% of candidates tend to secure positions within a 35-day period.

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

The job market for Artificial Intelligence Machine Learning Engineers in Denmark has shown fluctuating trends over the last 12 weeks, with a noticeable peak occurring in weeks 22 and 23, when 9 jobs were posted each week. Comparatively, the closure rate of these roles has been significantly high, with a total of 20 jobs closed in week 21 alone. This dynamic suggests a tightening market for talent in Denmark's tech sector, given the urgent need to fill these positions. In contrast, other technical roles in Denmark have not exhibited the same level of demand fluctuation, indicating that hiring strategies for Artificial Intelligence Machine Learning roles will require proactive measures from hiring managers to attract and retain top talent in this competitive landscape.

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 Europe reveals significant variances across countries. In Denmark, the current job openings for Artificial Intelligence Machine Learning Engineers are comparable to various other prominent markets such as Germany, Sweden, and the Netherlands. However, when analyzing the ratio of available talent to job openings, Denmark presents a more challenging hiring environment, with a lower jobs-to-talent pool ratio than countries like Germany and Sweden. This suggests that hiring managers, including CTOs and Engineering Managers, may face heightened competition when seeking qualified Artificial Intelligence Machine Learning Engineers in Denmark. Recruitment strategies must therefore be tailored to attract potential candidates in this competitive landscape, considering both local and pan-European trends.

Seniority distribution of Machine Learning Engineer job openings in Denmark

Seniority Distribution of Machine Learning Engineering Jobs in Denmark

In the Danish job market for Artificial Intelligence and Machine Learning Engineering, the majority of positions are concentrated at the Mid-Senior level, accounting for 41% of the total roles. Entry level positions follow closely, representing 28% of the market. Additionally, Internship roles make up 11%, highlighting the emphasis on fostering new talent in this competitive landscape.

Preferred employment type for Engineering roles in Denmark

In Denmark's engineering landscape, the employment type distribution reveals that 93% of positions are full-time, reflecting a strong preference for stable employment among tech professionals. Additionally, contract roles account for 6%, illustrating a moderate demand for flexible work arrangements. Part-time positions make up 1%, indicating limited availability for those seeking reduced hours in the artificial intelligence and machine learning sectors.

Time to Hire Distribution for Artificial Intelligence in Denmark

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Denmark exhibits a significant distribution pattern, with the most notable peak occurring at 30 days, which accounts for 159 instances. Following this, the time frames of 25 days and 15 days also show high activity, reflecting counts of 87 and 44, respectively. Hiring managers should particularly note that 80% of candidates are typically hired within 35 days, indicating a competitive landscape in the Artificial Intelligence job market. Conversely, the time intervals of 70 days and beyond demonstrate a steep decline in counts, suggesting potential challenges in filling roles beyond this period. Understanding these trends is crucial for developing effective recruitment strategies within Denmark's 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 distribution of job openings for Artificial Intelligence Machine Learning Engineers is predominantly concentrated in Copenhagen, which accounts for 83% of the total opportunities. Following the capital, Aarhus and Kongens Lyngby represent 15% and 8% of the market, respectively. This data underscores the significance of Copenhagen as a key hub for Artificial Intelligence Machine Learning job seekers in the country, as illustrated in the accompanying chart.

Most sought after technologies in Denmark for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving landscape of the Artificial Intelligence Machine Learning job market in Denmark, certain technologies emerge as pivotal for hiring decisions. Python leads the charge with a substantial frequency of 7,675, demonstrating its prevalence among candidates. Following closely are SQL and Machine Learning, with frequencies of 3,076 and 4,406, respectively, indicating their critical role in data manipulation and predictive analytics. Other notable technologies include R, C++, and AWS, with frequencies of 716, 839, and 902, respectively. These technologies form the foundation for effective recruitment strategies for CTOs in Denmark's tech sector, as illustrated in the accompanying chart.

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