Machine Learning Developer Hiring Trends in Norway

This report was last updated on Aug 17, 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 Norway has seen limited opportunities, with only 19 new job postings in the last 12 weeks, reflecting the constrained supply of talent compared to demand.
Oslo dominates the job market, accounting for 71% of available positions for Artificial Intelligence Engineers, followed by Trondheim at 13% and Stavanger at 11%, emphasizing the capital's role as a key hiring hub.
Mid-Senior level positions constitute 59% of the market for Artificial Intelligence Machine Learning Engineers, highlighting a strong demand for experienced professionals while also providing entry-level opportunities.
The median time to hire for Artificial Intelligence Engineers in Norway is approximately 33 days, indicating a competitive landscape and the necessity for hiring managers to act swiftly to secure qualified candidates.
Key companies seeking to fill Artificial Intelligence Machine Learning roles in Norway include AutoStore™, Axelera AI, and Canonical, each playing a significant role in shaping the employment landscape in the tech sector.

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

The job market for Artificial Intelligence Machine Learning Engineers in Norway has experienced notable fluctuations over the last 12 weeks. During this period, there were only 19 new job posts, highlighting the limited supply of opportunities relative to the broader tech labor market. Particularly noteworthy was week 31, which saw an uptick to 8 new postings. In contrast, job closures remained high, with 6 jobs closed in weeks 22 and 27, reflecting a tighter job landscape for AI and Machine Learning roles. This trend indicates a pressing challenge for hiring managers as they navigate recruitment strategies in Norway's tech sector, outpacing the rate of new job openings. Compared to other European countries, the hiring trends for Artificial Intelligence Machine Learning Developers appear to be more constrained, emphasizing the need for effective recruitment strategies to attract top talent.

Who else is hiring for ai Engineers in Norway:

Company name	Country	Industry	Founded	# Job openings
AutoStore™	Norway	Industrial Automation	1995	4
Axelera AI	Netherlands	Semiconductors	2021	4
Canonical	United Kingdom	Information Technology & Services	2004	3
Naprapatlandslaget	Sweden	Wellness And Fitness Services	2002	3
Elastic	United States	Information Technology & Services	2012	2
Tenth Revolution Group	United Kingdom	Staffing & Recruiting	2006	2
Tata Consultancy Services	India	Information Technology & Services	1968	2
Cognite	United States	Information Technology & Services	2016	2
Cisco	United States	Information Technology & Services	1984	1
BCG X	null	null	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 job market for Artificial Intelligence Machine Learning Engineers in Norway reflects a competitive landscape, characterized by x job openings against a talent pool of y professionals. Comparative analysis with neighboring countries reveals that Sweden has z job openings and a talent pool of a, while Finland shows b job openings against a talent pool of c. This results in a ratio of jobs to talent pool that suggests it may be challenging for hiring managers in Norway to secure qualified candidates, particularly when compared to larger talent pools in markets like Germany, which has d openings and an ample supply of professionals. Consequently, recruitment strategies for CTOs and engineering leaders in Norway's tech sector must adapt to these emerging hiring trends, emphasizing proactive engagement and retention initiatives to secure top talent.

Seniority distribution of Machine Learning Engineer job openings in Norway

Seniority Distribution of Machine Learning Engineering Jobs in Norway

In Norway, the Artificial Intelligence Machine Learning job market exhibits a significant prevalence of Mid-Senior level positions, accounting for 59% of available roles. Entry level positions comprise 33% of the market, while Associate roles represent 8%. This distribution indicates a strong demand for experienced professionals while also presenting opportunities for junior candidates in the evolving tech landscape.

Preferred employment type for Engineering roles in Norway

In the Norwegian job market for engineering roles, Full-time positions dominate with 93% of available jobs, reflecting a strong preference for stable employment. Contract roles make up 7% of the market, indicating a growing demand for flexible work arrangements. Part-time roles represent a mere 6%, suggesting that employment in engineering is primarily oriented towards full-time commitments.

Time to Hire Distribution for Artificial Intelligence in Norway

How long does it take to hire Artificial Intelligence Engineers

In Norway, the time to hire for Artificial Intelligence Machine Learning Engineers presents significant insights that hiring managers in the tech sector should note. The data reveals that the majority of candidates are hired within a span of 30 to 40 days, representing a critical timeframe for recruitment strategies in Norway's tech landscape. Specifically, 40 positions were filled within 30 days, while an additional 12 roles were completed within 40 days, indicating a competitive market that requires prompt action from CTOs and Engineering Managers. Conversely, the hiring process extends to 60 days or more for about 27 positions, suggesting that patience may be necessary for specialized roles in Artificial Intelligence Machine Learning. Understanding these hiring trends is essential for companies aiming to secure top talent in a rapidly evolving market.

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Most popular cities in Norway to hire Artificial Intelligence Engineers

Top 5 cities in Norway to hire Artificial Intelligence Engineers

In Norway, the distribution of job openings for Artificial Intelligence Engineers reveals a significant concentration in major urban areas. Oslo, the capital, accounts for 71% of the total job opportunities, followed by Trondheim at 13% and Stavanger at 11%. This data underscores the critical role of Oslo as the central hub for Artificial Intelligence Machine Learning professionals in the country, as illustrated in the accompanying chart.

Most sought after technologies in Norway for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence and Machine Learning job market in Norway, certain technologies are consistently at the forefront. Python emerges as the most prevalent programming language, boasting a remarkable frequency of 6,500 occurrences, primarily due to its versatility and extensive libraries tailored for AI and ML applications. Following closely, SQL ranks second with 2,543 instances, reflecting the importance of data manipulation and querying in various ML projects. Other notable technologies include Machine Learning itself with a frequency of 3,788, and Data Science at 1,439, highlighting the increasing integration of these fields in business solutions. Additionally, AI, with a frequency of 2,217, showcases its central role in driving innovative approaches. This intricate landscape is further illustrated in the accompanying chart, which delineates the usage frequency of these crucial technologies for AI and Machine Learning roles.

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