Machine Learning Developer Hiring Trends in Oslo, Norway

This report was last updated on Sep 6, 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 Engineer job market in Norway, particularly in Oslo, is witnessing a notable transitional phase with a total of 12 new job postings in the last three months, highlighting a promising demand amidst a competitive landscape.
Oslo accounts for 82% of the total job openings for Artificial Intelligence Engineers in Norway, signifying its importance as a pivotal hub for recruitment in this sector, followed by Trondheim, Stavanger, and Tromsø.
Major players in the market include AutoStore™, Canonical, and Elastic, representing diverse industries and reflecting the broad applicability of Machine Learning expertise across sectors such as industrial automation and information technology.
The current median time to hire for Artificial Intelligence Engineers in Norway stands at 33 days, indicating a competitive recruitment scenario where streamlined hiring processes are essential for attracting top talent in a timely manner.
With 42% of roles classified as Mid-Senior level, hiring strategies should be tailored to attract this segment effectively, while also acknowledging that the overall talent pool in Norway presents challenges for recruiters compared to other European nations.

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

In the past 12 weeks, the hiring landscape for Artificial Intelligence Machine Learning Engineer roles in Oslo has demonstrated fluctuating activity. With a total of 12 new jobs posted in weeks 30, 31, and 32, the demand seems promising, particularly in week 31, which saw a peak of 4 postings. However, this is contrasted by the rate of job closures, which reached 5 in week 31 alone and has averaged multiple closures per week across the period. This dynamic indicates a competitive market where hiring managers, especially CTOs and Engineering Managers, should focus on robust recruitment strategies to secure top talent amidst emerging trends in the Artificial Intelligence Machine Learning job market in Norway and across Europe.

Who else is hiring for ai Engineers in Norway:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	3
Naprapatlandslaget	Sweden	Wellness And Fitness Services	2002	3
AutoStore™	Norway	Industrial Automation	1995	2
Canonical	United Kingdom	Information Technology & Services	2004	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
SPERTON Norway - Where Great People Meet	null	null	null	1
Cisco	United States	Information Technology & Services	1984	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 European job market for Artificial Intelligence Machine Learning Engineers has shown significant variation across countries, with Norway's ratio of talent pool to job openings posing unique challenges for hiring managers. Currently, Norway experiences a talent pool to job openings ratio that suggests a competitive landscape for recruitment, particularly in Oslo. In comparison, Germany and the Netherlands present a more favorable ratio, making it easier for CTOs and engineering managers to find qualified candidates. Meanwhile, countries like France and the UK are also facing similar hiring challenges in the AI sector, which highlights the urgency for effective recruitment strategies tailored to the specific demands of the marketplace. As the future demand for Artificial Intelligence Machine Learning Engineers continues to rise, hiring authorities in Norway must be prepared to adapt their approaches to attract the necessary talent.

Seniority distribution of Machine Learning Engineer job openings in Oslo

Seniority Distribution of Machine Learning Engineering Jobs in Oslo

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Norway, particularly in Oslo, the seniority distribution reveals significant insights for hiring managers. Currently, 42% of available positions are classified as Mid-Senior level, positioning this category as the most prominent. This is followed by Entry level roles, which constitute 31% of the job offerings, while Associate positions represent a smaller segment at 4%. Understanding this distribution is crucial for CTOs and engineering managers when formulating recruitment strategies.

Preferred employment type for Engineering roles in Norway

In the Norwegian engineering job market, the majority of positions are classified as full-time, accounting for 93% of the roles. Contract positions follow at 7%, comprising a smaller yet significant segment of the workforce. Part-time opportunities make up 5% of the employment landscape, reflecting a trend that may cater to specialized talent seeking flexibility.

Time to Hire Distribution for Artificial Intelligence in Norway

How long does it take to hire Artificial Intelligence Engineers

The data on time to hire for Artificial Intelligence positions in Norway reveals significant insights for hiring managers navigating the recruitment landscape. Notably, the most frequent hiring duration is 30 days, accounting for 33 placements, indicating a competitive yet manageable timeline for sourcing talent. Hiring periods extending from 25 to 40 days collectively capture a considerable portion of the market, with 21 and 8 counts respectively. This trend suggests that recruiting strategies should focus on accelerating processes within this timeframe to attract top-tier Artificial Intelligence Machine Learning Engineers. Additionally, the complete absence of hires beyond 75 days showcases a critical threshold for candidates, reinforcing the need for CTOs and recruiters to adapt swiftly to maintain an advantage in the fast-evolving tech sector in Oslo.

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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 is predominantly centered in the capital, Oslo, which accounts for 82% of the total relevant positions. Following Oslo, Trondheim represents a significantly smaller portion of 14%, while Stavanger and Tromsø contribute with 7% and 4% respectively. This data underscores Oslo's vital role in the job market for Artificial Intelligence and Machine Learning professionals, as illustrated in the accompanying chart.

Most sought after technologies in Oslo for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving landscape of the Artificial Intelligence Machine Learning job market, particularly in Norway's capital, Oslo, certain technologies are prevalent. Python leads the way with a frequency of 5,248, cementing its status as the go-to programming language for developers in this sector. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149 respectively, indicating a strong emphasis on data manipulation and predictive modeling. Other notable technologies include R, Data Science, and AWS, which illustrate the diverse toolkit tech leads and hiring managers should seek in candidates. For a visual representation of these trends, please refer to the attached chart.

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