Machine Learning Developer Hiring Trends in Aarhus, Denmark

This report was last updated on Jul 5, 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 engineering job market in Denmark, particularly in Aarhus, has witnessed a total of six job openings over the past 12 weeks, reflecting a fluctuating demand for skilled professionals in this domain.
Notable hiring activity has been recorded from leading companies such as Danske Bank, Dalux, and Netcompany, which are actively seeking talent in this competitive landscape, thus indicating a significant concentration of opportunities.
The market currently shows a seniority distribution with 50% of positions at the entry level, while mid-senior roles account for 25%, highlighting the strong influx of new talent as well as the need for experienced professionals.
Hiring managers should note that the median time to fill positions for Artificial Intelligence Machine Learning Engineers in Aarhus is 33 days, with positions typically filled within 25 to 30 days, underscoring the need for effective recruitment strategies.
Overall, while there is a moderate level of ease in hiring for these roles, the competition within Denmark's tech sector necessitates innovative recruitment approaches to secure the best talent available.

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

The artificial intelligence machine learning engineering job market in Denmark Aarhus has exhibited fluctuating trends over the past 12 weeks. With a total of six jobs posted, there has been a notable rise in openings during weeks 22 and 25, indicative of a growing interest in this domain. However, the market also experienced closures, with a peak of three jobs closed in week 26, suggesting that while demand exists, the retention of positions may be more challenging compared to other roles in the tech sector. This trend suggests a need for targeted recruitment strategies for CTOs and hiring managers looking to secure talent in an increasingly competitive landscape, aligning with similar patterns observed across Europe where the hiring of artificial intelligence machine learning professionals remains dynamic.

Who else is hiring for ai Engineers in Denmark:

Company name	Country	Industry	Founded	# Job openings
Danske Bank	Denmark	Financial Services	1871	6
Axelera AI	Netherlands	Semiconductors	2021	4
Dalux	Denmark	Information Technology & Services	2005	3
Corti	United States	Information Technology & Services	2016	3
Netcompany	Denmark	Information Technology & Services	2000	2
Corti	United States	Information Technology & Services	2016	2
Sopra Steria	France	Information Technology & Services	1968	2
Playdead	Denmark	Computer Games	2006	2
Agilent Technologies	United States	Research	1999	2
BCG X	null	null	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 job market for Artificial Intelligence Machine Learning Engineers in Denmark, particularly in Aarhus, reflects a competitive landscape when compared to other European countries. With a considerable number of job openings relative to the available talent pool, Denmark's ratio indicates a moderate level of ease in hiring. In contrast, nations like Germany, France, and the Netherlands exhibit significant demand for AI and Machine Learning talents; however, their larger talent pools result in a different hiring dynamic. This suggests that hiring managers in Denmark might face unique challenges, as the demand for skilled professionals in AI continues to outstrip supply, making it essential for CTOs and recruiters to adopt innovative recruitment strategies tailored for this rapidly evolving tech sector.

Seniority distribution of Machine Learning Engineer job openings in Aarhus

Seniority Distribution of Machine Learning Engineering Jobs in Aarhus

The seniority distribution for Artificial Intelligence Machine Learning Engineering jobs in Denmark's Aarhus region reveals a notable trend. Entry-level positions comprise 50% of the market, while Mid-Senior level roles account for 25%. Additionally, Internship opportunities represent 20%, highlighting a strong influx of new talent entering the field.

Preferred employment type for Engineering roles in Denmark

In Denmark, the employment landscape for engineering roles is dominated by full-time positions, which constitute 93% of the total job market. Contract roles account for 7% of the opportunities, while part-time roles represent about 1% of the employment type distribution. This data highlights a robust demand for dedicated professionals in the tech sector, particularly for roles such as Artificial Intelligence Machine Learning Engineers in cities like Aarhus.

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 roles in Denmark, specifically in Aarhus, reveals significant trends relevant to hiring managers. The data indicates that the majority of positions are filled within a time frame of 25 to 30 days, with counts of 102 and 183, respectively. A notable decline in hires occurs after the 30-day mark, with only 92 candidates hired by the 35-day threshold. It is essential for CTOs and Engineering Managers to consider these statistics when developing recruitment strategies, as understanding the time to hire can optimize their approach to attracting top talent in the Artificial Intelligence Machine Learning job market in Denmark Aarhus.

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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 Engineer roles highlights a significant concentration in Copenhagen, which accounts for 82% of the total job market. Aarhus follows with a 15% share, demonstrating its emerging status in the Artificial Intelligence Machine Learning job market in Denmark. Other cities such as Kongens Lyngby and Aalborg contribute 9% and 4% respectively, indicating a more localized demand for talent, as depicted in the accompanying chart.

Most sought after technologies in Aarhus for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving job market for Artificial Intelligence and Machine Learning Engineers, particularly in Denmark's Aarhus region, a few technologies emerge as frequently utilized tools. Python leads the charge with an impressive frequency of 10,275, underscoring its significance in the field. Following closely is Machine Learning itself with 5,750 mentions, highlighting the foundational role it plays in AI applications. Data Analysis and SQL also showcase considerable usage, with frequencies of 2,511 and 4,181 respectively, reflecting the essential skills needed for data manipulation and extraction. Additionally, AI stands out with 3,736 instances, further solidifying its critical position in this sector. This analysis aligns with the accompanying chart that depicts the popularity of these technologies, aiding decision-making for hiring managers in the tech industry.

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