Machine Learning Developer Hiring Trends in Denmark

This report was last updated on Aug 2, 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 has experienced a total of 58 new positions posted over the last 12 weeks, indicating a competitive hiring environment for technology leaders and recruiters.
Copenhagen dominates the job openings, accounting for 80% of the total AI Engineer positions in Denmark, followed by Aarhus at 14% and Kongens Lyngby at 8%. This geographic concentration underscores the importance of targeting recruitment efforts in the capital city.
A significant 41% of AI Machine Learning Engineer positions fall within the Mid-Senior level category, revealing a strong demand for experienced professionals. Additionally, the market shows a healthy distribution of entry-level (32%) and internship (20%) opportunities, indicating a breadth of prospects for candidates at various experience levels.
Currently, hiring artificial intelligence engineers in Denmark presents challenges due to a relatively limited talent pool, necessitating refined recruitment strategies for CTOs and engineering managers to attract skilled candidates.
The median time to hire for Artificial Intelligence Engineers in Denmark is approximately 33 days, with many roles taking between 30 to 40 days to fill. This emphasizes the need for efficient recruitment planning amid the competitive landscape.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Denmark has shown fluctuating activity, with a total of 58 new positions posted, marking a significant peak of 13 openings in week 25. In contrast, the number of closed positions reached 18 in week 20, showcasing a high turnover in the sector. This dynamic indicates a competitive hiring climate, particularly when compared to other roles in Denmark, emphasizing the urgent need for recruitment strategies tailored for CTOs and Engineering Managers. As companies across Europe increasingly seek out qualified professionals in this field, understanding these hiring trends becomes paramount for those aiming to attract top talent in Denmark's Tech sector.

Who else is hiring for ai Engineers in Denmark:

Company name	Country	Industry	Founded	# Job openings
Danske Bank	Denmark	Financial Services	1871	5
Zendesk	United States	Information Technology & Services	2007	4
Axelera AI	Netherlands	Semiconductors	2021	4
Dalux	Denmark	Information Technology & Services	2005	3
Corti	United States	Information Technology & Services	2016	3
Specialisterne Danmark	Denmark	Information Technology & Services	2004	3
Corti	United States	Information Technology & Services	2016	2
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 is characterized by a challenging balance between job openings and the available talent pool. In Denmark, the count of job openings is substantial, yet the talent pool remains relatively limited compared to other European countries such as Norway and Sweden, both of which exhibit a higher ratio of talent to job openings. This translates into a hiring environment where finding qualified candidates may be more difficult in Denmark than in neighboring Sweden, where the talent pool is more abundant. Hiring managers should be prepared for increased competition and consider refined recruitment strategies to attract skilled professionals. The future demand for Artificial Intelligence Machine Learning Engineers in Denmark indicates a need for proactive talent acquisition efforts amidst these emerging trends.

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 significant insights for hiring managers. Currently, 41% of positions are classified as Mid-Senior level, indicating a strong demand for experienced professionals. Entry level roles account for 32%, showing ample opportunities for newcomers to the field. Additionally, Internship positions make up 20% of the job market, reflecting a growing trend towards nurturing talent within the sector.

Preferred employment type for Engineering roles in Denmark

In Denmark, the employment landscape for engineering roles reveals a strong preference for full-time positions, comprising 93% of the job market. Contract roles account for 6%, while part-time positions represent 1%. This distribution highlights the stability sought by companies hiring Artificial Intelligence Machine Learning Engineers in Denmark, emphasizing the importance of structured recruitment strategies for CTOs and hiring managers.

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 shows a diverse distribution, with the majority of roles being filled within a 30 to 40-day timeframe. Specifically, 187 hires took approximately 30 days, while 49 roles were filled around the 15-day mark. Recruitment managers should anticipate a significant recruitment period, as the data highlights that hiring within 65 days or longer is common, evidenced by 12 positions being filled at this duration. Understanding these trends can aid CTOs and hiring managers in planning their recruitment strategies in Denmark's competitive 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 Engineer job openings highlights Copenhagen as the primary hub, accounting for 80% of the total opportunities. Following Copenhagen, Aarhus represents 14%, while Kongens Lyngby contributes 8%. This distribution underscores the significance of the capital city in the Artificial Intelligence Machine Learning job market in Denmark.

Most sought after technologies in Denmark for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving landscape of Artificial Intelligence Machine Learning jobs, specific technologies emerge as leaders in terms of usage. Python leads the charge with a frequency of 8,156, followed by Machine Learning itself, utilized in 4,640 instances. SQL, with 3,272 occurrences, and Data Analysis at 1,864 highlight essential skills for candidates in this field. The importance of foundational technologies continues with Data Science at 1,699 and Java, which features 1,209 times in the job market. A detailed chart accompanying this section illustrates these trends, offering further insight into the technologies driving demand in Denmark's AI and ML sectors.

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