Machine Learning Developer Hiring Trends in 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

In the past three months, the Artificial Intelligence Machine Learning job market in Denmark has shown significant volatility, with job openings peaking at 13 and closing roles rising to 14 in a tightening market.
Copenhagen dominates the job market, accounting for 82% of openings, followed by Aarhus and Kongens Lyngby, which highlights the geographical concentration of Artificial Intelligence Machine Learning Engineer opportunities in Denmark.
A competitive landscape for hiring is evident, with a moderate challenge for recruitment, as the talent pool is relatively smaller compared to the job openings, necessitating effective recruitment strategies for CTOs and Engineering Managers.
The seniority distribution indicates a robust demand for experienced talent, with 61% of roles at the Mid-Senior level, underscoring the need for hiring strategies that cater to both experienced professionals and newcomers to the field.
The median time to hire for Artificial Intelligence Engineers in Denmark is 33 days, indicating a relatively swift recruitment cycle, which hiring managers should leverage when planning their hiring processes.

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

The trends in the Artificial Intelligence Machine Learning job market in Denmark reveal a volatile recruitment landscape. Over the past 12 weeks, the number of new jobs posted fluctuated significantly, with a peak of 13 openings in week 25, followed by a notable decline to just 1 job posted in week 29. Conversely, the job closure trend has seen a consistent rise, peaking at 14 closed roles in week 29. This disparity between opened and closed positions indicates a tightening job market for Artificial Intelligence Machine Learning Engineers in Denmark, particularly when compared to other roles in the tech industry, suggesting hiring managers need to strategize effectively to attract talent. Given the competitive landscape, understanding these trends is crucial for CTOs and Engineering Managers aiming to fill Artificial Intelligence Machine Learning Developer opportunities as the demand for specialized skills grows across Europe.

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 and Machine Learning Engineers in Denmark is characterized by a competitive landscape, with a job opening count that suggests a growing demand for skilled professionals. In comparison, countries like Germany and the Netherlands exhibit higher job opening counts, yet maintain a similar or larger talent pool, which leads to a tighter hiring environment. While the ratio of talent pool to job openings in Denmark indicates a moderate challenge for hiring managers, relative ease exists compared to nations such as France, where the demand is intensifying without a proportional increase in available talent. Therefore, for hiring managers and CTOs targeting Artificial Intelligence Machine Learning job opportunities in Denmark, effective recruitment strategies must account for these trends and the heightened competition across Europe.

Seniority distribution of Machine Learning Engineer job openings in Denmark

Seniority Distribution of Machine Learning Engineering Jobs in Denmark

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Denmark reveals that 61% of positions are at the Mid-Senior level, followed by 22% at the Entry level, and 11% classified as Associate. This distribution indicates a robust demand for experienced professionals while still allowing for growth opportunities for newcomers in the field.

Preferred employment type for Engineering roles in Denmark

The employment type distribution for engineering roles in Denmark reveals a clear preference for Full-time positions, making up 93% of the market. Part-time roles constitute 6%, while Contract positions account for approximately 1%. This data highlights the strong demand for stable employment within the Artificial Intelligence Machine Learning job market in Denmark, indicating a potential focus area for hiring strategies.

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 significant insights pertinent to hiring managers in the tech sector. A notable concentration of hiring activity is observed around the 30-day mark, with 101 counts representing candidates being processed within this timeframe. The trend continues to show a steady decline in hiring volume with longer times to hire, where only 1 candidate reached the 80-day threshold. For CTOs and Engineering Managers, understanding these metrics can refine recruitment strategies, especially in a competitive job market characterized by high demand for Artificial Intelligence Machine Learning Developers.

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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 the context of the Artificial Intelligence Machine Learning job market in Denmark, Copenhagen emerges as a dominant hub, accounting for 82% of total job openings with 1,156 positions. Following Copenhagen, Aarhus represents 14% with 208 openings, while Kongens Lyngby contributes to 8% with 114 opportunities. This data underscores Copenhagen's crucial role in shaping the future demand for Artificial Intelligence Machine Learning Engineers within the Danish tech landscape, as illustrated in the accompanying chart.

Most sought after technologies in Denmark for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Denmark is characterized by the prominent use of several key technologies. Python leads the way with an impressive frequency of 5,248, establishing itself as the primary programming language for AI and Machine Learning projects. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149, respectively, indicating their vital roles in data management and algorithm development. Additionally, Data Science, with a frequency of 1,229, highlights the increasing importance of analytics in AI applications. This data is further illustrated in the accompanying chart, depicting the prevalent technologies that hiring managers should consider when targeting Artificial Intelligence and Machine Learning talent in Denmark.

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