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Machine Learning Developer Hiring Trends in Poland

This report was last updated on Aug 24, 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 job market for Artificial Intelligence Machine Learning Engineers in Poland exhibits significant fluctuations, with a total of 46 new job postings recorded in week 22, but dropping to just 2 in the following week, indicating a highly competitive environment.
  • Over the past 12 weeks, there have been instances of both peaks, such as 55 job openings in week 31, and troughs, including a sharp decline with only 2 roles available in week 33, suggesting the need for hiring managers to adapt their recruitment strategies.
  • The seniority distribution indicates that mid-senior level positions account for 60% of openings, emphasizing a strong demand for experienced Artificial Intelligence Machine Learning Developers in the Polish job market.
  • Top cities for hiring in Poland include Warsaw, which dominates with 71% of job openings, followed by Cracow at 14% and Wrocław at 13%, highlighting the geographic concentration of opportunities for skilled professionals.
  • The median time to hire for Artificial Intelligence Machine Learning Engineers in Poland is 34 days, with a noticeable number of hires being completed within 30 days, signifying an evolving and fast-paced recruitment landscape in the technology sector.
Number of roles opened and closed for Machine Learning Engineers in Poland in the last 3 months

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

The job market for Artificial Intelligence Machine Learning Engineers in Poland has shown notable fluctuations over the past 12 weeks. In week 22, there were 46 new job postings, but this figure dropped significantly to only 2 in the following week. This trend of inconsistency continued, showcasing peaks like 55 new openings in week 31 but also troughs with low activity such as 2 positions in week 33. Moreover, the weekly closures of roles indicate a competitive market, with 53 positions closed in week 23 alone, highlighting the challenges of retention and demand within the sector. When compared to similar roles in other European countries, the volatility of job openings suggests that hiring managers, including CTOs and Engineering Managers, need to adapt their recruitment strategies effectively to attract the right talent in the evolving tech landscape.

Who else is hiring for ai Engineers in Poland:

Company name Country Industry Founded # Job openings
Sii Poland logo Sii Poland Poland Information Technology & Services 2006 33
Grid Dynamics logo Grid Dynamics United States Information Technology & Services 2006 16
Luxoft Poland logo Luxoft Poland null null null 14
Lingaro logo Lingaro Poland Information Technology & Services 2008 13
Google logo Google United States Information Technology & Services 1998 12
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 12
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 11
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 11
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 10
Tenstorrent logo Tenstorrent Canada Computer Hardware 2016 10

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Talent pool vs job openings for Artificial Intelligence Engineers in Poland

How competitive it is to hire Artificial Intelligence Engineers in Poland

The job market for Artificial Intelligence Machine Learning Engineers in Europe presents varying opportunities across different countries. For instance, Poland has a competitive landscape with numerous job openings relative to its talent pool, showcasing a jobs-to-talent-pool ratio that may indicate moderate difficulty in hiring. In comparison, Germany exhibits a higher number of job openings but also boasts a more substantial talent pool, potentially making recruitment easier. Similarly, France and the Netherlands show promising trends with a balanced relationship between job availability and available talent. Overall, while Poland offers substantial opportunities for Artificial Intelligence Machine Learning Engineers, hiring managers should prepare for a competitive recruitment environment.

Seniority distribution of Machine Learning Engineer job openings in Poland

Seniority Distribution of Machine Learning Engineering Jobs in Poland

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Poland reveals a noteworthy landscape for hiring managers. Mid-Senior level positions dominate the market, comprising 60% of the job openings. Entry level roles account for 14%, while Associate positions make up 10%. This distribution highlights the strong demand for experienced candidates, indicating a competitive environment for sourcing talent in this sector.

Chart about preferred employment type for Engineering roles in Poland

Preferred employment type for Engineering roles in Poland

In the context of the Artificial Intelligence Machine Learning job market in Poland, the distribution of employment types reveals a strong preference for full-time positions, which constitute 92% of available roles. Contract positions account for 8%, while part-time roles represent only 1% of the job market. This highlights the significant demand for dedicated talent in Artificial Intelligence and Machine Learning, guiding CTOs and hiring managers in their recruitment strategies.

Time to Hire Distribution for Artificial Intelligence in Poland

How long does it take to hire Artificial Intelligence Engineers

The current time to hire distribution for Artificial Intelligence Machine Learning Engineers in Poland reveals significant insights for hiring managers. A notable majority of candidates, approximately 398, are hired within a 30-day timeframe, indicating a swift recruitment process in the sector. However, there is also a considerable number of hires extending beyond this period, with 161 candidates taking around 25 days and 152 candidates requiring 35 days. Additionally, a total of 174 individuals are hired within 10 days, further demonstrating the competitive landscape for Artificial Intelligence Machine Learning roles. As the market evolves, understanding these hiring trends is crucial for CTOs and Engineering Managers strategizing recruitment in Poland's tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Poland to hire Artificial Intelligence Engineers

Top 5 cities in Poland to hire Artificial Intelligence Engineers

In Poland, the job market for Artificial Intelligence Machine Learning Engineers is predominantly centered in Warsaw, which accounts for 71% of the total job openings. This is followed by Cracow with 14% and Wrocław with 13%. The capital city’s significant share of positions highlights its pivotal role in the Polish tech landscape, as illustrated in the accompanying chart.

Most sought after technologies in Poland for Machine Learning

Key technologies for Machine Learning Engineers

In examining the Artificial Intelligence Machine Learning job market trends in Poland, several technologies emerge as vital in the hiring landscape. Python leads as the most utilized technology, with a frequency of 5,934, reflecting its dominance in the realm of AI and Machine Learning. Following Python is SQL, commonly employed for data management, appearing 2,298 times. Machine Learning itself has a notable frequency of 3,508, highlighting its critical nature in this sector. Other important technologies include Data Science with a frequency of 1,346, and AI, which is also heavily referenced at 1,930 instances. The accompanying chart provides a visual representation of these trends, showcasing the prominence of these technologies in recruitment for Artificial Intelligence Machine Learning Engineer roles.

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