Machine Learning Developer Hiring Trends in Norway

This report was last updated on Aug 31, 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 Norwegian job market for Artificial Intelligence Machine Learning Engineers is currently experiencing a volatile environment, characterized by a net loss in active job postings due to a notable closure rate, compelling hiring managers to adapt recruitment strategies.
There are currently 38 job openings for Artificial Intelligence Machine Learning Engineers, with job postings peaking at 8 in week 31, indicating fluctuating demand.
Oslo is the leading city for job openings in Norway, accounting for 73% of the market, followed by Trondheim (12%), Stavanger (10%), and Tromsø (6%), highlighting Oslo's central role as the hub for AI talent.
The majority of job openings (93%) are full-time positions, which underscores a stable demand for Artificial Intelligence Machine Learning Engineers within Norway's tech sector.
Hiring for Artificial Intelligence Machine Learning Engineers is quite competitive, with the median time to hire indicated at 33 days, reflecting the challenges faced by CTOs and hiring managers in securing top talent within this dynamic market.

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

In recent weeks, the Norwegian job market for Artificial Intelligence Machine Learning Engineers has exhibited fluctuating dynamics, with a peak of 8 new positions posted in week 31, emphasizing a surge in demand. However, this demand appears to be counterbalanced by a significant closure rate, as evidenced by the closure of jobs peaking at 5 in both weeks 30 and 31. This results in a net loss in active postings for these roles, indicating a tightening market. Compared to other European countries, where tech roles tend to maintain a steadier job post-to-closure ratio, the landscape for Artificial Intelligence Machine Learning positions in Norway reflects a more volatile environment, compelling hiring managers to adopt innovative recruitment strategies to attract top talent.

Who else is hiring for ai Engineers in Norway:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	3
Naprapatlandslaget	Sweden	Wellness And Fitness Services	2002	3
Axelera AI	Netherlands	Semiconductors	2021	3
AutoStore™	Norway	Industrial Automation	1995	2
Elastic	United States	Information Technology & Services	2012	2
Tata Consultancy Services	India	Information Technology & Services	1968	2
Cognite	United States	Information Technology & Services	2016	2
Synthflow AI	Germany	Information Technology & Services	2023	1
Nordea	Finland	Banking	1820	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, with a significant number of job openings relative to the available talent pool. In comparison to countries like Germany, which boasts a larger talent pool yet faces similar job demand, and France, where the ratio is slightly skewed towards abundant job opportunities, Norway presents a tighter hiring scenario. With a high jobs-to-talent pool ratio, it can be inferred that hiring talent in Norway is relatively challenging compared to countries like the Netherlands, where the balance is more favorable. This trend is indicative of the future demand for Artificial Intelligence Machine Learning Engineers in Norway, emphasizing the importance of strategic recruitment approaches for CTOs and hiring managers in the region.

Seniority distribution of Machine Learning Engineer job openings in Norway

Seniority Distribution of Machine Learning Engineering Jobs in Norway

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Norway reveals a strong demand for professionals at various experience levels. Notably, 56% of the positions are categorized as Mid-Senior level, followed by 27% at the Entry level, and 8% for Associates. This distribution highlights the existing opportunities and the future demand for skilled Machine Learning Engineers in Norway.

Preferred employment type for Engineering roles in Norway

In Norway's engineering job market, the predominant employment type is full-time positions, accounting for 93% of available roles. Contract jobs represent 7% of the market, while part-time positions comprise 5%. This distribution highlights a strong preference for full-time employment in the sector, indicating a stable demand for Artificial Intelligence Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Norway

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Norway reveals significant insights for hiring managers in the tech industry. The majority of positions, specifically 38 roles, take approximately 30 days to fill, indicating a moderate pace in recruitment. Additionally, 19 positions require around 25 days, while 16 roles take 10 days, showcasing the variability in hiring timelines. Understanding these trends can guide CTOs and recruitment teams in strategizing their approach to attract the best talent within the competitive landscape of the Norwegian tech sector.

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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 Machine Learning Engineers reveals a strong concentration in Oslo, which accounts for 73% of the total opportunities. Following Oslo, Trondheim represents 12% of the job market, while Stavanger and Tromsø contribute 10% and 6% respectively. This data highlights Oslo's pivotal role as the central hub for AI talent 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 stand out as essential for candidates. Python emerges as a predominant language, with a frequency of 5250, reflecting its status as a primary tool for developing AI solutions. Other critical technologies include SQL, utilized for data management, with a frequency of 2006, and Machine Learning, a core focus area with a frequency of 3135. Data Science, fundamental for analytical tasks, is also prevalent with 1214 instances. Additionally, AWS, a crucial cloud platform for deploying machine learning models, appears 699 times in the data. These frequency metrics, as illustrated in the accompanying chart, highlight the focal point of required skills for hiring managers seeking to fill Artificial Intelligence Machine Learning Engineer positions.

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