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Machine Learning Developer Hiring Trends in Cracow, 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 Artificial Intelligence Machine Learning Engineers job market in Cracow has experienced notable fluctuations over the last three months, with a total of 25 new roles being posted, indicating an emerging trend in hiring.
  • Currently, the talent pool for Artificial Intelligence and Machine Learning Engineers in Cracow is robust, although the hiring landscape remains competitive, with 38 positions closed during the same period.
  • Senior positions dominate the job market, particularly Mid-Senior roles, which represent 66% of the total job offerings; this trend emphasizes the need for targeted recruitment strategies for hiring managers seeking experienced talent.
  • Top tech employers in Cracow include Sii Poland, Grid Dynamics, and Luxoft Poland, highlighting the prominence of local firms in the Artificial Intelligence sector and their growing demand for skilled developers.
  • The median time to hire for Artificial Intelligence Engineers in Poland stands at 34 days, reflecting a need for urgency in recruitment efforts, particularly in light of the mounting competition for talent across the European technology landscape.
Number of roles opened and closed for Machine Learning Engineers in Cracow in the last 3 months

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

The Artificial Intelligence Machine Learning Engineers job market in Cracow has demonstrated notable fluctuations over the past 12 weeks, with a total of 25 new positions posted. The peak occurred in week 31, where 7 new roles were introduced, reflecting a surge in demand. In contrast, the job closure rate has been significant, with a total of 38 positions closed during the same period, peaking at 8 closures in week 32. This indicates a challenging hiring environment, as the disparity between openings and closures suggests that sourcing talent in the Artificial Intelligence Machine Learning sector remains competitive. Compared to other job roles in Cracow, the hiring activity in this niche appears more volatile, highlighting the need for targeted recruitment strategies for CTOs and hiring managers in this technology 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 talent market for Artificial Intelligence Machine Learning Engineers in Poland, specifically in Cracow, presents a unique scenario. With a robust number of job openings relative to the talent pool, the ratio indicates a competitive hiring landscape. Compared to countries like Germany, where demand significantly outpaces supply, and France and Spain, which also face challenges in sourcing qualified talent, Poland's market shows potential for growth. However, the existing ratio suggests that hiring talent in Poland could be moderately challenging, necessitating strategic recruitment approaches by CTOs and Engineering Managers to secure top candidates efficiently.

Seniority distribution of Machine Learning Engineer job openings in Cracow

Seniority Distribution of Machine Learning Engineering Jobs in Cracow

In Poland's Cracow region, the seniority distribution for Artificial Intelligence Machine Learning Engineering jobs reveals a predominance of Mid-Senior level positions, accounting for 66% of the roles. Entry level positions follow, constituting 13% of the total job landscape. Meanwhile, Internship roles make up 7%. This data underscores the growing demand for experienced talent in the Artificial Intelligence Machine Learning sector, indicating a need for robust recruitment strategies for CTOs and hiring managers in Poland's competitive tech market.

Chart about preferred employment type for Engineering roles in Poland

Preferred employment type for Engineering roles in Poland

In the context of the employment landscape for engineering roles in Poland, a significant 92% of positions are full-time, indicating a strong preference among employers for long-term commitments from talent. Contract roles comprise 8% of the job market, reflecting a growing trend towards flexible engagement models, while part-time positions remain minimal at just 1%. This distribution underscores the necessity for hiring managers to align their recruitment strategies with the predominant full-time offerings within Poland's tech sector.

Time to Hire Distribution for Artificial Intelligence in Poland

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Poland reveals critical trends for hiring managers. A significant spike in the data indicates that 398 positions are filled within 30 days, underlining a rapid hiring environment in this sector. However, applicants may remain on the market for longer durations, with 174 roles taking 10 days, 122 roles taking 15 days, and 161 positions requiring up to 25 days to fill. Notably, the 40-day mark shows a notable dip in hiring with 121 count, suggesting hiring strategies may need adjustment for efficiency. These trends underscore the competitive landscape for Artificial Intelligence Machine Learning Developers in Poland, particularly in cities like Cracow, where demand is continuously growing.

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

The city distribution for Artificial Intelligence Engineers job openings in Poland reveals significant opportunities, particularly in Warsaw, which accounts for 56% of the total job postings. Cracow follows with 11%, highlighting its importance as a hub for talent in the technology sector. Meanwhile, Wrocław and Kraków together comprise approximately 10% of the market, underscoring regional diversity in the job landscape.

Most sought after technologies in Cracow for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Poland, particularly in Cracow, is heavily influenced by a range of advanced technologies. Among the most frequently utilized tools are Python, which stands out with a usage frequency of 5,934, and Machine Learning technologies at 3,508. Data Science also plays a pivotal role, with 1,346 instances noted. Other notable mentions include SQL with 2,298 and AWS at 755. The accompanying chart illustrates these trends, providing valuable insights into the technological preferences that hiring managers should consider when targeting candidates in this competitive space.

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