Machine Learning Developer Hiring Trends in 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 job market for Artificial Intelligence Machine Learning Engineers in Sweden has experienced fluctuations, with a peak of 87 new job openings in week 21, followed by a notable decline and 45 closures in week 28, highlighting competitive hiring conditions.
The talent pool size for Artificial Intelligence Machine Learning Engineers in Sweden faces pressure due to a high ratio of job openings to available candidates, emphasizing the need for CTOS and engineering managers to adopt effective recruitment strategies.
Stockholm dominates the job market, accounting for 64% of openings for Artificial Intelligence Engineers, followed by Gothenburg at 26% and Uppsala at 7%, pointing to geographical concentration for talent acquisition efforts in Sweden.
Full-time positions represent the vast majority (95%) of available roles in Sweden's tech sector, indicating a stable demand for Artificial Intelligence Machine Learning Engineers and a preference among employers for long-term engagements.
The current median time to hire for Artificial Intelligence Engineers in Sweden is 32 days, with most candidates being hired within 10 to 30 days, suggesting that hiring managers must prioritize speed and efficiency in their recruitment strategies.

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Sweden has exhibited notable fluctuations. While the peak of new job openings reached 87 in week 21, the subsequent weeks have shown a declining trend, with only 2 positions opened in week 28. Comparatively, job closures have consistently increased, culminating in 45 positions closed in week 28. This indicates a potentially competitive landscape for hiring managers, as the difference between jobs opened and closed narrows significantly. In contrast to other European countries, Sweden's reduction in new artificial intelligence positions underscores the importance for CTOs to employ strategic recruitment strategies to attract top talent.

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

Here are a few specialized ai agencies you can trust:

Want to get personalized matches? Get started

Talent pool vs job openings for Artificial Intelligence Engineers in Sweden

How competitive it is to hire Artificial Intelligence Engineers in Sweden

The landscape for Artificial Intelligence Machine Learning Engineers across Europe reveals a significant disparity in job openings relative to the available talent pool. In Sweden, with a notable number of job openings, the ratio of talent pool size to job postings indicates a challenging environment for recruitment. Comparatively, countries like Germany, the Netherlands, and France show similar trends, yet Sweden's tighter talent market can discourage swift hiring decisions for CTOs and engineering managers. As a result, crafting effective recruitment strategies becomes imperative for tech leaders aiming to fill roles within this competitive sector.

Seniority distribution of Machine Learning Engineer job openings in Sweden

Seniority Distribution of Machine Learning Engineering Jobs in Sweden

In Sweden, the seniority distribution for Artificial Intelligence Machine Learning Engineering positions reveals a pronounced demand for Mid-Senior level talent, which constitutes 57% of the job market. Entry level roles account for 28%, while Internship opportunities make up 8%. This distribution underscores the focus on hiring experienced professionals who can drive innovation in the rapidly evolving technology landscape.

Preferred employment type for Engineering roles in Sweden

In Sweden's tech sector, the employment type distribution for engineering roles highlights a strong preference for full-time positions, accounting for 95% of the job market. Contract roles represent a modest 5%, while part-time opportunities make up 3% of the available positions. This data signals to hiring managers that the demand for Artificial Intelligence Machine Learning Engineers is primarily focused on stable, full-time engagements, reflecting the evolving needs of Sweden's innovation-driven landscape.

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 Machine Learning Engineer positions in Sweden reveals significant trends that hiring managers should consider. A majority of candidates are hired within 10 to 30 days, with 281 positions filled in 10 days, followed by 217 in 30 days. This suggests that companies should prepare for a competitive hiring landscape, particularly over shorter timeframes. Notably, there remains a considerable volume of roles, with 164 positions filled within 15 days and 106 within 25 days, indicating a consistent demand for talent. As such, recruitment strategies for CTOs in Sweden's tech sector should emphasize efficiency and responsiveness to capitalize on the robust candidate market.

Expolore reports from other European Developer talent pools

View All Job Reports

Most popular cities in Sweden to hire Artificial Intelligence Engineers

Top 5 cities in Sweden to hire Artificial Intelligence Engineers

In Sweden, the distribution of job openings for Artificial Intelligence Engineers is predominantly concentrated in Stockholm, which accounts for 64% of the total positions available. Following Stockholm, Gothenburg represents 26% of the job market, while Uppsala holds 7%. This data, illustrated in the accompanying chart, reflects the significant role of the capital in the emerging Artificial Intelligence Machine Learning job market in Sweden.

Most sought after technologies in Sweden for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of Artificial Intelligence Machine Learning jobs in Sweden, several technologies emerge as pivotal. The predominant programming language is Python, utilized in 6,500 instances, highlighting its central role in AI and ML development. Following Python, SQL is essential for data management, featured in 2,543 occurrences. Machine Learning is also a crucial skill, being referenced 3,788 times, while Data Science follows closely at 1,439 mentions. Furthermore, popular frameworks like Deep Learning (554) and Natural Language Processing (NLP) (556) are increasingly sought after, reflecting current trends in the hiring of Senior Artificial Intelligence Machine Learning Developers. For a comprehensive view of these technologies, please refer to the accompanying chart.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.