Machine Learning Developer Hiring Trends in Finland

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 Finland has shown varying dynamics in the last three months, with significant fluctuations in openings and closures, demonstrating a competitive landscape that requires strategic adaptation by hiring managers.
Helsinki remains the primary hub for Artificial Intelligence Engineer job opportunities, accounting for 67% of the total listings, followed by Espoo and Tampere, which highlights the geographic concentration of demand in Finland.
The current talent pool for Artificial Intelligence Machine Learning Engineers in Finland is challenged by a noticeable disparity between job openings and available qualified candidates, making it essential for recruiting managers to develop targeted strategies to attract top talent.
A majority of the roles within this sector (68%) are aimed at Mid-Senior level professionals, indicating a strong preference for experienced candidates as companies seek skilled talent to fill critical positions in their operations.
The median time to hire for Artificial Intelligence Engineers in Finland is 34 days, suggesting opportunities for hiring managers to refine their recruitment processes for greater efficiency in securing candidates amidst rising demands.

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

The Artificial Intelligence Machine Learning Engineer job market in Finland has exhibited fluctuating trends over the past 12 weeks. Notably, there was a significant spike in openings during week 27, with 6 new positions posted, contrasting sharply with a downturn in openings subsequently, particularly in week 29 which saw only 1 job added. Additionally, the closure of jobs has been notable, especially in week 26, where 5 roles were closed, indicating potential pressures in retention or market saturation. This trend of openings and closures highlights a competitive landscape, as hiring managers may need to adapt their recruitment strategies for CTOs and team leads to secure top talent in Finland's tech sector. Comparatively, the recruitment dynamics for similar roles across other European countries may require a nuanced approach, considering local market fluctuations.

Who else is hiring for ai Engineers in Finland:

Company name	Country	Industry	Founded	# Job openings
Wärtsilä	Finland	Machinery	1834	4
Wolt	Finland	Information Technology & Services	2014	4
Huawei	China	Telecommunications	1987	4
Axelera AI	Netherlands	Semiconductors	2021	3
Smartly	Finland	Marketing & Advertising	2013	2
Solita	Finland	Information Technology & Services	1996	2
BCG Platinion	Germany	Management Consulting	2000	2
Apukka Resort	Finland	Leisure, Travel & Tourism	2017	2
Digia Plc	Finland	Information Technology & Services	1990	2
OP Financial Group	Finland	Financial Services	1902	2

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Talent pool vs job openings for Artificial Intelligence Engineers in Finland

How competitive it is to hire Artificial Intelligence Engineers in Finland

The job market for Artificial Intelligence Machine Learning Engineers in Finland reflects a competitive landscape, with a notable disparity between the number of job openings and the available talent pool. Finland showcases a ratio that indicates a challenging hiring environment, similar to other countries like Germany, where the ratio of job openings to available talent suggests saturation. This trend contrasts with countries such as Poland and Portugal, where there exists a more favorable ratio for hiring, indicating easier access to qualified candidates. For hiring managers, this suggests that recruitment strategies must be optimized for Finland's tech sector, particularly in securing Senior Artificial Intelligence Machine Learning Developers amidst the expected future demand.

Seniority distribution of Machine Learning Engineer job openings in Finland

Seniority Distribution of Machine Learning Engineering Jobs in Finland

In the Finnish job market for Artificial Intelligence and Machine Learning Engineering, the seniority distribution highlights a significant preference for Mid-Senior level positions, accounting for 68% of openings. Entry level roles comprise 20%, while internships represent 5%. This distribution suggests a robust demand for experienced professionals in the field, with limited entry-level opportunities.

Preferred employment type for Engineering roles in Finland

In the Finnish engineering job market, the dominant employment type is full-time positions, accounting for 94% of opportunities. This is followed by contract roles at 5% and part-time positions, which comprise approximately 1% of the market. The prevalence of full-time employment highlights a stable demand for engineering talent, especially in the realm of Artificial Intelligence and Machine Learning.

Time to Hire Distribution for Artificial Intelligence in Finland

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence roles in Finland exhibits a notable distribution that hiring managers should consider. A significant portion, accounting for 58 positions, reflects a hiring timeframe of 25 days, indicating that many candidates enter the final stages of the recruitment process within this range. The data shows that 48 candidates were hired in an average of 30 days, which suggests that hiring efficiency could be improved. Moreover, the trend reveals that 16 hires were made within a 15-day window, emphasizing the importance of rapid recruitment strategies to secure top talent. In contrast, longer hiring periods of up to 100 days reflect potential bottlenecks that could deter prospective Artificial Intelligence Machine Learning Engineers from considering opportunities in Finland's growing tech landscape.

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Most popular cities in Finland to hire Artificial Intelligence Engineers

Top 5 cities in Finland to hire Artificial Intelligence Engineers

In Finland, the distribution of Artificial Intelligence Engineer job openings is predominantly concentrated in Helsinki, accounting for 67% of the total job listings. Following Helsinki, Espoo represents 21% of the opportunities, while Tampere accounts for 15%. This data underscores the significance of the capital, Helsinki, as a central hub for the Artificial Intelligence Machine Learning job market in Finland.

Most sought after technologies in Finland for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Finland, certain technologies emerge as predominant tools for professionals in this domain. Python leads the pack with a notable frequency of 5,248, underscoring its significance for developers focusing on AI and Machine Learning. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149 respectively, indicating their essential roles in data management and algorithm development. Additional technologies such as R, Data Science, and Java highlight the diverse skill set required, with frequencies of 716, 1,229, and 921 respectively. These insights, illustrated in the accompanying chart, are crucial for understanding the competencies sought by hiring managers in Finland's tech sector.

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