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Machine Learning Developer Hiring Trends in Trondheim, Norway

This report was last updated on May 24, 2025

Bence Gedai / Founder

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 job market in Norway's Trondheim has revealed significant fluctuations over the past 12 weeks, with a total of four job openings, highlighting the need for proactive recruitment strategies for hiring managers.
  • Top companies in the region hiring Artificial Intelligence Machine Learning Engineers include Outlier, Canonical, and Axelera AI, reflecting the increasing demand for skilled professionals in this sector.
  • With Oslo leading the way in job opportunities for Artificial Intelligence Engineers, Trondheim remains a vital second market with 91 openings, emphasizing its importance in Norway's technology landscape.
  • Hiring for Artificial Intelligence Machine Learning Engineers in Trondheim is currently competitive, with a median time to hire of 34 days, making it essential for recruitment strategies to be efficient and effective.
  • The talent pool for Artificial Intelligence Machine Learning Engineers in Norway shows a challenging landscape for hiring managers, necessitating innovative recruitment methods to attract and retain specialized talent.
Number of roles opened and closed for Machine Learning Engineers in Trondheim in the last 3 months

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

Over the past 12 weeks, the Artificial Intelligence and Machine Learning job market in Norway Trondheim has demonstrated noteworthy dynamics. A total of four job openings have been posted, with the most vacancies surfacing in week 9 (2 jobs). Notably, there were significant closures in the same period, particularly in weeks 4 and 7, where 2 jobs were closed each time. This pattern indicates a fluctuating demand for Artificial Intelligence Machine Learning Engineers relative to other roles in the region, suggesting that hiring managers should be proactive in recruitment strategies to maintain talent acquisition. Furthermore, when compared to other European tech hubs, the recruitment landscape for these specialists remains competitive, underscoring the importance of tailored hiring approaches for CTOs and Engineering Managers in Norway's evolving tech sector.

Who else is hiring for ai Engineers in Norway:

Company name Country Industry Founded # Job openings
Outlier logo Outlier United States Information Technology & Services 2023 11
Canonical logo Canonical United Kingdom Information Technology & Services 2004 10
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 4
Naprapatlandslaget logo Naprapatlandslaget Sweden Wellness And Fitness Services 2002 3
Calpion Inc. logo Calpion Inc. United States of America It Services And It Consulting 2004 2
Sopra Steria logo Sopra Steria France Information Technology & Services 1968 2
Trine University logo Trine University null null null 2
Centric IT Professionals logo Centric IT Professionals null null null 2
Cognite logo Cognite United States Information Technology & Services 2016 2
Index.dev logo Index.dev United Kingdom Information Technology & Services null 1

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Talent pool vs job openings for Artificial Intelligence Engineers in Norway

How competitive it is to hire Artificial Intelligence Engineers in Norway

The current job market for Artificial Intelligence Machine Learning Engineers in Europe reveals varying degrees of opportunity across countries. In Norway, the ratio of available talent to job openings indicates significant competition, with a lower jobs-to-talent ratio compared to countries like Germany and the United Kingdom, where the talent pool is larger relative to job vacancies. Similarly, Sweden shows a more balanced landscape, making it somewhat easier to hire talent than in Norway. As such, hiring managers in Norway, particularly in Trondheim, may find it challenging to source highly skilled AI and Machine Learning Engineers, underscoring the need for strategic recruitment methods tailored to attract this specialized talent.

Seniority distribution of Machine Learning Engineer job openings in Trondheim

Seniority Distribution of Machine Learning Engineering Jobs in Trondheim

In the Artificial Intelligence Machine Learning job market in Norway's Trondheim, the seniority distribution indicates significant opportunities at various levels. The majority of positions are held by interns, comprising 81% of the job market. Following this, mid-senior level roles account for 13%, while entry-level positions make up 6%. This distribution highlights the abundant entry opportunities available for emerging talent in this sector.

Chart about preferred employment type for Engineering roles in Norway

Preferred employment type for Engineering roles in Norway

In Norway, the employment type distribution for engineering roles reveals a strong preference for full-time positions, constituting 92% of the job market. Contract roles follow at 8%, while part-time positions account for approximately 4%. This distribution reflects the growing demand for stability and commitment in the Artificial Intelligence Machine Learning job market in Norway, particularly in Trondheim.

Time to Hire Distribution for Artificial Intelligence in Norway

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Norway reveals critical insights for recruitment strategies in Trondheim's tech sector. Notably, the most frequent hiring interval is between 30 to 35 days, accounting for 203 hires, indicating a competitive job market where timely recruitment is essential. As hiring managers focus on attracting top talent, understanding this distribution will aid in optimizing recruitment timelines. In contrast, the longer hiring times, particularly beyond 50 days, reflect potential challenges in sourcing niche skills in Artificial Intelligence and Machine Learning. Therefore, implementing targeted talent acquisition strategies is crucial for CTOs and Engineering Managers seeking to secure Senior Artificial Intelligence Machine Learning Developers in Norway Trondheim.

Expolore reports from other European Developer talent pools

Most popular cities in Norway to hire Artificial Intelligence Engineers

Top 5 cities in Norway to hire Artificial Intelligence Engineers

The location distribution for Artificial Intelligence Engineers job openings in Norway reveals that Oslo leads the market with 454 opportunities, accounting for 81% of the total jobs. Following Oslo is Trondheim, which offers 91 positions, representing 16% of the overall data set. Stavanger comes in third, with 38 job openings, making up 7% of the available roles. These insights highlight the concentration of Artificial Intelligence job opportunities in Norway's capital, as detailed in the accompanying chart.

Most sought after technologies in Trondheim for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the job market for Artificial Intelligence and Machine Learning Engineers in Norway, particularly in Trondheim, several technologies stand out. The most frequently utilized technology is Python, with a prevalence of 13,742 mentions, reflecting its dominance in machine learning applications. Following closely are SQL and Machine Learning itself, with frequencies of 5,896 and 7,875, respectively, indicating their integral roles in data manipulation and model development. Other notable technologies include AI with 5,321 instances, and a robust array of tools such as Java (1,583), AWS (1,471), and Cloud (1,171), which facilitate the deployment and scalability of AI solutions. These findings are illustrated in the attached chart, highlighting the prevalent technologies shaping recruitment strategies for CTOs and hiring managers in Norway's tech ecosystem.

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