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Machine Learning Developer Hiring Trends in Espoo, Finland

This report was last updated on Jul 26, 2025

Bence Gedai / Founder

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 job market in Finland, particularly in Espoo, is currently characterized by a notable imbalance between job openings and closures, with 4 positions opened and 11 roles closed over the past 12 weeks.
  • Helsinki and Espoo dominate the Artificial Intelligence Engineers job openings in Finland, with Helsinki leading at 58% and Espoo comprising 20% of the total demand, suggesting key urban areas for recruitment efforts.
  • The median time to hire for Artificial Intelligence Machine Learning Engineers in Finland is 34 days, reflective of a competitive landscape where efficient recruitment strategies are essential for attracting talent.
  • Python stands out as the most sought-after programming language in the Artificial Intelligence and Machine Learning field, followed by SQL and Machine Learning, which should inform hiring strategies for prospective candidates.
  • The current demand distribution indicates a significant leaning towards Mid-Senior level professionals at 44%, which underscores the necessity for hiring managers in Espoo to focus on targeted recruitment strategies to attract experienced talent.
Number of roles opened and closed for Machine Learning Engineers in Espoo in the last 3 months

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

In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Finland Espoo has shown a modest activity level, with only 4 positions posted, peaking at 2 in week 20. In stark contrast, the closure of jobs in the same sector has been notably higher, with 11 roles closed, indicating a challenging recruitment landscape. This represents a significant gap between openings and closures, suggesting intensified competition for available talent. When compared to other tech roles in Finland Espoo, the numbers reflect a more precarious situation for hiring Artificial Intelligence Machine Learning Engineers, emphasizing the need for strategic recruitment initiatives tailored for the unique dynamics of this specialized field.

Who else is hiring for ai Engineers in Finland:

Company name Country Industry Founded # Job openings
Huawei logo Huawei China Telecommunications 1987 9
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 4
Nitor logo Nitor Finland Information Technology & Services 2007 3
Canonical logo Canonical United Kingdom Information Technology & Services 2004 2
BCG Platinion logo BCG Platinion Germany Management Consulting 2000 2
Smartly logo Smartly Finland Marketing & Advertising 2013 2
Solita logo Solita Finland Information Technology & Services 1996 2
Apukka Resort logo Apukka Resort Finland Leisure, Travel & Tourism 2017 2
Digia Plc logo Digia Plc Finland Information Technology & Services 1990 2
Accenture Nordics logo Accenture Nordics null null null 1

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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 talent market for Artificial Intelligence Machine Learning Engineers reveals a competitive landscape in Finland, particularly in its tech hub, Espoo. With a considerable number of job openings juxtaposed against a moderate talent pool, hiring managers may find the recruitment process moderately challenging. When comparing Finland with countries such as Germany, where the number of job openings is high but so is the talent availability, or France and the Netherlands, where the talent landscape is more saturated, it becomes evident that Finland's market is tightening. This ratio indicates that while opportunities for Artificial Intelligence Machine Learning job market expansion exist in Finland Espoo, hiring strategies must be more targeted and innovative to attract top candidates.

Seniority distribution of Machine Learning Engineer job openings in Espoo

Seniority Distribution of Machine Learning Engineering Jobs in Espoo

In Finland Espoo, the seniority distribution for Artificial Intelligence Machine Learning Engineering roles indicates a significant demand for Mid-Senior level professionals, comprising 44% of available positions. Entry-level roles account for 33%, while Internship opportunities represent 31%. This distribution highlights the need for targeted recruitment strategies aimed at attracting experienced talent in an evolving tech landscape.

Chart about preferred employment type for Engineering roles in Finland

Preferred employment type for Engineering roles in Finland

In the Finnish engineering job market, the employment type distribution reveals a strong preference for full-time roles, which constitute 94% of available positions. Contract roles follow, making up 6% of the market, while part-time positions account for just 4%. This landscape provides key insights for hiring managers seeking to understand the dynamics of the Artificial Intelligence Machine Learning Engineers job market trends in Finland, especially in Espoo.

Time to Hire Distribution for Artificial Intelligence in Finland

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineer positions in Finland reveals significant insights for hiring managers in the tech industry. The data indicates that 30% of candidates are hired within a 10 to 20-day timeframe, emphasizing the competitive landscape in this field. Moreover, the volume peaks at 112 candidates requiring 30 days for recruitment, indicating a potential bottleneck that employers should navigate carefully. Notably, the decline in counts for hires extending beyond 40 days reflects the urgent need for effective recruitment strategies. This assessment is crucial for CTOs and Engineering Managers in Finland Espoo’s tech sector to refine their hiring processes and address the emerging trends in the Artificial Intelligence Machine Learning job market.

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Most popular cities in Finland to hire Artificial Intelligence Engineers

Top 5 cities in Finland to hire Artificial Intelligence Engineers

The distribution of Artificial Intelligence Engineers job openings in Finland indicates a strong concentration in major urban areas. Helsinki leads the market with 58% of the total job openings, followed by Espoo, which accounts for 20%. Tampere comes in third with 14%, showcasing a significant opportunity for recruitment in these key regions. For a visual representation, please refer to the accompanying chart.

Most sought after technologies in Espoo for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Finland, particularly in Espoo, indicates a strong preference for certain technologies. Based on recent data, Python leads the way with a frequency of 8,429, making it the most sought-after programming language for candidates. Following closely are SQL and Machine Learning, with frequencies of 3,382 and 4,786 respectively. Other notable technologies include Data Analysis and R, with frequencies of 1,947 and 716. This data is further illustrated in the accompanying chart, providing valuable insights for hiring managers seeking to navigate the Artificial Intelligence Machine Learning job market.

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