Machine Learning Developer Hiring Trends in Stockholm, Sweden

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 Artificial Intelligence Machine Learning Engineers job market trends in Sweden, particularly in Stockholm, reveal significant fluctuations in job openings over the past three months, with a peak of 24 new postings followed by a decline to only 3 in recent weeks.
Key technologies driving hiring in this sector include Python, SQL, and Machine Learning, emphasizing the critical skill set necessary for prospective candidates in the Artificial Intelligence Machine Learning job market in Sweden, Stockholm.
A breakdown of job seniority shows that Mid-Senior level positions make up approximately 64% of openings, indicating a significant demand for experienced professionals in the field in resistance to the existing talent pool.
Stockholm remains the dominant city for Artificial Intelligence Machine Learning job opportunities, accounting for 63% of positions in the market, followed by Gothenburg at 25% and Uppsala at 7%. This geographic concentration highlights recruitment strategies for CTOs and hiring managers.
The median time to hire for Artificial Intelligence Engineers in Sweden is 32 days, underscoring the need for effective recruitment strategies in a competitive landscape where securing qualified talent is increasingly challenging.

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

In the past 12 weeks, the market for Artificial Intelligence Machine Learning Engineer positions in Sweden Stockholm has demonstrated notable fluctuations. There were 24 new job postings in week 21, which have gradually decreased to just 3 by week 30, signaling a potential slowdown in hiring. This downward trend contrasts sharply with the number of jobs closed, which peaked at 20 in week 29, indicating that the attrition rate may be outpacing new openings. Compared to similar roles across Europe, the volatility in Sweden's job market underscores the need for strategic recruitment approaches tailored for CTOs and hiring managers aiming to attract top talent in this niche.

Who else is hiring for ai Engineers in Sweden:

Company name	Country	Industry	Founded	# Job openings
Knowit	Sweden	Information Technology & Services	1990	9
Canonical	United Kingdom	Information Technology & Services	2004	7
Knightec	Sweden	Information Technology & Services	2003	6
Professional Galaxy AB	Sweden	Information Technology & Services	2022	6
Sogeti	France	Information Technology & Services	1967	5
Capgemini	France	Management Consulting	1967	5
Axelera AI	Netherlands	Semiconductors	2021	5
Softhouse	Sweden	Information Technology & Services	1996	4
Försäkringskassan	Sweden	Government Administration	null	4
Nexer Insight	null	null	null	4

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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 talent market for Artificial Intelligence Machine Learning Engineers in Europe presents varying challenges across different countries. In Sweden, particularly in Stockholm, the balance between job openings and the available talent pool indicates a competitive hiring environment. With a talent pool ratio that suggests a significant demand compared to the emerging supply, securing qualified candidates may prove difficult for hiring managers. In contrast, countries like Germany, France, and the Netherlands exhibit higher job-to-talent ratios, suggesting a more favorable hiring landscape for CTOs and Engineering Managers. As such, recruitment strategies in Sweden must adapt to these dynamics, ensuring that companies are well positioned to attract top talent in this evolving domain.

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 distribution of job seniority reveals critical insights for hiring managers. The Mid-Senior level positions constitute approximately 64% of opportunities, followed by Entry level roles at 16%, and Associate positions making up about 6%. Understanding this seniority distribution is vital for CTOs and engineers as they strategize recruitment amidst the evolving demand for Artificial Intelligence Machine Learning talent in the region.

Preferred employment type for Engineering roles in Sweden

In Sweden's engineering job market, the predominant employment type for positions is full-time, comprising 95% of the opportunities available. Contract roles follow at 4%, accounting for a small yet significant share within the sector. Part-time roles make up 2% of the employment landscape, highlighting the strong preference for full-time positions among employers in Sweden, particularly in the Artificial Intelligence Machine Learning field.

Time to Hire Distribution for Artificial Intelligence in Sweden

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Sweden reveals critical insights into market dynamics. A significant proportion of positions, 281, are filled within 10 days, while a considerable number, 164, take around 15 days. As the time to hire increases, the counts gradually decrease, indicating that despite an initial rapid recruitment phase, hiring may slow down for more specialized roles. Notably, hiring for positions exceeding 40 days drops sharply, with only a handful of roles filled beyond 100 days. This data highlights the urgent need for effective recruitment strategies for CTOs to secure top talent in Stockholm’s competitive tech sector.

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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 Sweden, the job market for Artificial Intelligence Machine Learning Engineers is predominantly concentrated in urban areas, with Stockholm leading the way. The capital accounts for 63% of all relevant job openings, showcasing its pivotal role in the tech landscape. Following Stockholm, Gothenburg represents 25% of the available positions, while Uppsala stands at 7%. This distribution emphasizes the significance of Stockholm as a central hub for Artificial Intelligence Machine Learning job opportunities in Sweden.

Most sought after technologies in Stockholm for Machine Learning

Key technologies for Machine Learning Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Sweden, particularly in Stockholm, certain technologies stand out as essential for candidates. Notably, Python emerges as the most sought-after language with a frequency of 6,500 mentions, followed by SQL at 2,543, reflecting its critical role in data management. Machine Learning itself boasts a high frequency of 3,788, indicating the core focus of these roles. Data Science, with 1,439 mentions, further underscores the relevance of data-driven decision-making. Additionally, the significance of cloud services, particularly AWS, at 803 mentions, highlights the growing importance of scalable solutions in AI and ML applications. This data is visually represented in the attached chart for a comprehensive overview.

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