Machine Learning Developer Hiring Trends in Stockholm, Sweden

This report was last updated on Jun 15, 2025

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 Engineers job market in Sweden, particularly in Stockholm, has been characterized by notable fluctuations, with a peak of 24 new job openings in week 21, greatly surpassing the four roles closed during the same period, indicating a strong demand for talent.
Currently, the talent pool for Artificial Intelligence Machine Learning Engineers is concentrated, with over 70% of job openings specifically concentrated in Stockholm, highlighting the city as a hub for opportunities in this sector.
Prominent companies actively hiring in this field include Professional Galaxy AB (9 roles), Knowit (6 roles), and Canonical (10 roles), emphasizing the interest from both local and international firms in the Swedish tech landscape.
The competition for hiring Artificial Intelligence Machine Learning Engineers is notably challenging in Sweden, with the median time to hire reported at 33 days, signaling a swift yet competitive market that requires robust recruitment strategies.
As hiring managers consider their strategies, understanding that 55% of roles are mid-senior level reinforces the importance of targeting this demographic, alongside a healthy influx of entry-level candidates to secure future growth.

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

Over the last 12 weeks, the Artificial Intelligence Machine Learning Engineers job market in Sweden, particularly in Stockholm, has exhibited notable fluctuations. New job postings peaked sharply in week 21 with 24 openings, significantly outpacing the number of closed roles, which reached only 4 during the same week. This indicates a growing demand for Artificial Intelligence Machine Learning talent in this region. In contrast, the week-to-week data reflects variations in hiring activity for other tech roles in Sweden, emphasizing the unique surge for this specific job category. When compared to similar roles in other European tech hubs, the trends suggest that Stockholm is emerging as a critical market for Artificial Intelligence Machine Learning Engineer opportunities.

Who else is hiring for ai Engineers in Sweden:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	10
Professional Galaxy AB	Sweden	It Services And It Consulting	2022	9
Sogeti	France	Information Technology & Services	1967	7
Knightec Group	null	Management Consulting	null	7
Knowit	Sweden	Information Technology & Services	1990	6
Deploja	Sweden	Information Technology & Services	2020	5
Knightec	Sweden	Information Technology & Services	2003	5
FC CASINO AB	Sweden	Restaurants	2000	5
Axelera AI	Netherlands	Semiconductors	2021	5
Huawei Sweden	null	null	null	5

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Talent pool vs job openings for Artificial Intelligence Engineers in Sweden

How competitive it is to hire Artificial Intelligence Engineers in Sweden

The job market for Artificial Intelligence and Machine Learning Engineers demonstrates significant disparities across Europe. For instance, Sweden, with an increasing number of relevant job openings, presents a competitive environment for hiring managers in Stockholm. In comparison, countries like Germany and the Netherlands show a larger talent pool relative to their job openings, implying an easier recruitment landscape. Conversely, France faces a more challenging hiring scenario due to a higher ratio of job openings to available talent. Consequently, hiring talent in Sweden, while promising, is relatively harder compared to its European counterparts.

Seniority distribution of Machine Learning Engineer job openings in Stockholm

Seniority Distribution of Machine Learning Engineering Jobs in Stockholm

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Sweden, particularly in Stockholm, the seniority distribution reveals that 55% of positions are classified as Mid-Senior level, followed by 20% at the Entry level, and 7% as Associate. This distribution underscores the need for hiring managers and CTOs to develop recruitment strategies that cater to a predominantly mid-level talent pool, while also considering entry-level candidates to support future growth.

Preferred employment type for Engineering roles in Sweden

In the Swedish job market for engineering roles, the majority of positions are full-time, accounting for 95% of the total employment opportunities. Contract roles comprise 5% of the market, followed by part-time positions at 3%. This distribution highlights a strong preference for stable, long-term employment among employers and professionals in the tech sector.

Time to Hire Distribution for Artificial Intelligence in Sweden

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence positions in Sweden reveals significant insights for hiring managers. A considerable majority of candidates, approximately 315, were hired within 30 days, highlighting a swift recruitment cycle in the current market. Meanwhile, 289 candidates took around 10 days, indicating a steady influx of qualified prospects. However, as the hiring timeline extends beyond 40 days, a notable decrease in counts is observed, particularly for roles exceeding 60 days. This data signals a competitive landscape for AI and Machine Learning Engineers in Sweden, particularly in Stockholm, where swift hiring strategies may benefit recruitment outcomes.

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Most popular cities in Sweden to hire Artificial Intelligence Engineers

Top 5 cities in Sweden to hire Artificial Intelligence Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning Engineers job market in Sweden, Stockholm stands out as a significant hub, accounting for 59% of total job openings. Following Stockholm, Gothenburg represents 25%, while Uppsala contributes 7% to the overall distribution. This data underscores the prominence of the capital city in attracting talent for Artificial Intelligence Machine Learning positions, as illustrated in the accompanying chart.

Most sought after technologies in Stockholm for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Sweden, particularly in Stockholm, specific technologies are predominant. Python leads with a frequency of 12,134, reinforcing its status as the primary language for machine learning development. Following closely are SQL and Machine Learning, with frequencies of 5,097 and 6,954, respectively, indicating their critical roles in data manipulation and algorithm implementation. Other noteworthy technologies include R, Data Science, and AWS, which also exhibit significant usage, reflecting the industry's reliance on robust data analysis and cloud computing capabilities. This trend is illustrated in the accompanying chart, showcasing the prevalence of these technologies in the job market.

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