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Machine Learning Developer Hiring Trends in Kongens Lyngby, Denmark

This report was last updated on Jun 14, 2025

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 Kongens Lyngby has shown a concerning trend with only three new positions posted in the past 12 weeks, while eight roles were closed, highlighting a potential gap in the availability of talent.
  • Prominent companies in the region hiring for these positions include Danske Bank, Outlier, and Dalux, indicating robust interest from diverse sectors such as financial services and information technology.
  • Copenhagen remains the leading hub for Artificial Intelligence talent in Denmark, accounting for 76% of job openings, while Kongens Lyngby represents 8% of available roles, emphasizing the importance of localized recruitment strategies.
  • The time to hire for Artificial Intelligence Machine Learning Engineers in Kongens Lyngby averages 33 days, which suggests a need for agility in recruitment efforts to avoid losing potential candidates.
  • With a jobs-to-talent ratio of 2:1, hiring managers in Denmark Kongens Lyngby should prepare for a moderately competitive hiring landscape, necessitating effective recruitment strategies tailored to attract and retain skilled professionals.
Number of roles opened and closed for Machine Learning Engineers in Kongens Lyngby in the last 3 months

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Denmark Kongens Lyngby has shown a concerning trend with only three new positions posted, while a significant number of roles were closed, peaking at eight closures. This stark contrast highlights a potential gap in the availability of talent, as the demand for these specialized roles continues amidst a backdrop of increasing closures. Compared to other tech roles in the region, which may experience steadier openings and closures, the Artificial Intelligence Machine Learning job market demands strategic recruitment efforts from CTOs and hiring managers. The situation suggests an urgent need for targeted recruitment strategies in Denmark Kongens Lyngby to attract and retain skilled Machine Learning talent amidst fluctuating market dynamics.

Who else is hiring for ai Engineers in Denmark:

Company name Country Industry Founded # Job openings
Outlier logo Outlier United States Information Technology & Services 2023 11
Danske Bank logo Danske Bank Denmark Financial Services 1871 8
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 4
Dalux logo Dalux Denmark Information Technology & Services 2005 3
Corti logo Corti United States Information Technology & Services 2016 3
Corti logo Corti United States Information Technology & Services 2016 2
Sopra Steria logo Sopra Steria France Information Technology & Services 1968 2
Trustpilot logo Trustpilot Denmark Information Technology & Services 2007 2
Agilent Technologies logo Agilent Technologies United States Research 1999 2
BCG X logo 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 talent market for Artificial Intelligence Machine Learning Engineers in Denmark, specifically in Kongens Lyngby, faces increasing competition as evidenced by the current job openings and the size of the available talent pool. With a ratio derived from 150 job openings against a talent pool of 300, the jobs-to-talent ratio stands at 2:1, indicating a moderately challenging hiring landscape. This trend is contrasted with neighboring countries such as Germany, which has a ratio of 3:1, Sweden at 4:1, and France at 2.5:1, suggesting that while opportunities remain abundant in the Danish market, recruitment strategies for CTOs and tech leads must adapt to the tightening availability of qualified professionals. Consequently, hiring managers should be proactive in exploring local talent development and alternative recruitment strategies within Europe’s broader tech landscape.

Seniority distribution of Machine Learning Engineer job openings in Kongens Lyngby

Seniority Distribution of Machine Learning Engineering Jobs in Kongens Lyngby

In the competitive job market for Artificial Intelligence Machine Learning Engineers in Denmark's Kongens Lyngby, the majority of available positions are concentrated in the internship category, accounting for 68% of the roles. Following closely, Entry level positions make up 17%, while Mid-Senior level roles represent 15% of the job offerings. This distribution underscores the need for targeted recruitment strategies for CTOs and hiring managers aiming to attract qualified talent in this specialized field.

Chart about preferred employment type for Engineering roles in Denmark

Preferred employment type for Engineering roles in Denmark

In the context of Denmark's engineering landscape, the distribution of employment types highlights a significant preference for full-time positions, which constitute 93% of available roles. Contract jobs represent 6% of the market, while part-time opportunities account for 1%. This distribution underscores the strong focus on stability and commitment in the Danish tech sector, offering valuable insights for hiring managers considering recruitment strategies for Artificial Intelligence Machine Learning Engineers in Denmark, particularly in Kongens Lyngby.

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, particularly in Kongens Lyngby, reveals critical insights for hiring managers and CTOs. A significant 241 candidates were hired within 30 days, indicating a relatively swift recruitment process in the tech sector. The demand appears to stabilize thereafter, with 128 hires at 25 days and a gradual decline noted toward the two-month mark. Only 7 candidates secured positions after 70 days, showcasing that extended hiring durations may be less favorable in the competitive job market. Companies looking to attract top talent in the Artificial Intelligence sector should consider optimizing their recruitment strategies to align with these hiring trends.

Expolore reports from other European Developer talent pools

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 Machine Learning Engineers highlights Copenhagen as the dominant hub, accounting for 76% of the total job openings in the country with 1,066 positions. Following behind is Aarhus, comprising 14% with 195 opportunities, while Kongens Lyngby stands at 8% with 113 openings. This data indicates a concentrated demand for skilled professionals in the capital and neighboring regions, as illustrated in the accompanying chart.

Most sought after technologies in Kongens Lyngby for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Denmark, particularly in Kongens Lyngby, is heavily influenced by the usage of several key technologies. Among these, Python stands out as the most frequently utilized language, appearing in 12,134 instances, highlighting its prominence in AI and ML applications. Machine Learning is also notably prevalent, with 6,954 occurrences, reflecting its critical role in the field. Data Science and SQL follow with frequencies of 2,497 and 5,097, respectively, indicating their importance in managing and analyzing data. Other significant technologies include Java, AWS, and Data Engineering, underscoring a trend towards cloud-based solutions and robust data handling capabilities. For a detailed breakdown, refer to the accompanying chart.

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