Machine Learning Developer Hiring Trends in Oslo, 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, specifically in Oslo, has shown a gradual increase in new job postings, with a peak of four roles in weeks 31 and 32, highlighting notable demand.
With a significant talent pool size, hiring managers will notice that Oslo accounts for 75% of the available Artificial Intelligence Machine Learning positions in Norway, making it the primary hub for recruitment efforts.
Major companies actively recruiting for these roles include AutoStore™, Axelera AI, and Canonical, each contributing significantly to the burgeoning demand for skilled professionals in this sector.
The median time to hire for Artificial Intelligence Engineers in Norway stands at 33 days, indicating a competitive landscape where quick hiring strategies are essential to secure top talent effectively.
The seniority distribution indicates a robust demand for Mid-Senior level professionals, comprising 43% of the market, emphasizing the need for hiring managers to align their recruitment strategies with this market reality.

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

In recent weeks, the job market for Artificial Intelligence Machine Learning Engineers in Norway Oslo has displayed notable trends that are critical for hiring managers. Over the past 12 weeks, the number of new job postings has increased gradually, peaking at four roles in weeks 31 and 32, while closures have fluctuated significantly, with a peak of five roles closed in week 32. This discrepancy indicates a potential shortage in the talent pool for these positions, highlighting a growing demand for Artificial Intelligence Machine Learning job market in Norway Oslo compared to other tech roles in the region. Additionally, when comparing this data to similar roles in other European countries, the need for skilled Artificial Intelligence Machine Learning Engineers continues to rise, emphasizing the importance of effective recruitment strategies for CTOs in Norway Oslo's tech sector.

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 Artificial Intelligence Machine Learning Engineers job market in Europe reveals significant disparities when comparing Norway to other countries. In Norway, the ratio of available talent to job openings indicates a more challenging hiring environment; with a higher number of job openings than available talent, hiring managers may find it difficult to source qualified candidates. In contrast, countries such as Germany and the Netherlands exhibit a more favorable ratio, suggesting a more robust talent pool relative to job openings. Additionally, the UK faces a similar challenge to Norway, with an increasing demand for Artificial Intelligence Machine Learning Engineers but a limited talent pool. As such, hiring managers in Norway should optimize their recruitment strategies to attract top talent in this competitive landscape.

Seniority distribution of Machine Learning Engineer job openings in Oslo

Seniority Distribution of Machine Learning Engineering Jobs in Oslo

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Oslo reveals a significant presence of Mid-Senior level positions, accounting for 43% of the market. Entry level roles follow closely, comprising 30% of available jobs, while Associate positions represent a smaller fraction at just 3%. This distribution indicates a robust demand for experienced professionals, making it essential for hiring managers to tailor their recruitment strategies accordingly.

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, comprising 93% of the available jobs. Contract roles account for 7% of the job market, while part-time positions constitute 5%. This distribution highlights the demand for stability and long-term commitments within the Norwegian tech landscape, particularly for Artificial Intelligence Machine Learning Engineers in Oslo.

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 positions in Norway reveals significant insights for hiring managers. Notably, the majority of candidates (40) are hired within 30 days, reflecting a competitive job market, while 23 positions take approximately 25 days to fill. As demand continues to rise for Artificial Intelligence Machine Learning Engineers in Norway, Oslo's tech landscape shows that hiring timelines can vary, with substantial counts for roles taking up to 10 days (21), and fewer positions extending beyond 60 days. Hiring managers should be aware that the quicker turnover suggests an evolving recruitment strategy aimed at attracting skilled candidates promptly.

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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 the current job market for Artificial Intelligence Machine Learning Engineers in Norway, Oslo stands out as the primary hub, accounting for 75% of the available positions. Following Oslo, Trondheim represents 12% of the opportunities, while the broader region of Norway has only 7% of the total job openings. This data illustrates Oslo's dominance in the Artificial Intelligence job market, making it a focal point for recruitment strategies aimed at attracting top talent.

Most sought after technologies in Oslo for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Norway, particularly in Oslo, certain technologies have emerged as fundamental tools for practitioners. Python stands out as the most widely utilized programming language, showcasing a frequency of 6,500, closely followed by SQL at 2,543. The significance of Machine Learning is reflected in its notable frequency of 3,788, with Data Science also demonstrating strong relevance at 1,439. Additionally, key technologies such as AWS and Data Engineering, with frequencies of 803 and 731 respectively, highlight critical competencies sought by employers. This distribution of technologies is further illustrated in the accompanying chart.

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