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Machine Learning Developer Hiring Trends in Poland

This report was last updated on Aug 17, 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 shows a competitive environment, with notable fluctuations in job openings and closures over the past three months, peaking at 55 job postings.
  • Warsaw emerges as the dominant city for Artificial Intelligence Machine Learning Engineer opportunities, contributing 78% of total openings, followed by Cracow and Wrocław, making location a crucial factor for recruitment strategies.
  • The talent pool for Artificial Intelligence Machine Learning Engineers in Poland is substantial yet indicates a moderately challenging hiring landscape, emphasizing the need for tailored recruitment strategies from CTOs and hiring managers.
  • Python, Machine Learning, and SQL are the leading technologies sought by employers in Poland, highlighting the critical skill sets required for candidates in this field.
  • Hiring timelines for Artificial Intelligence Machine Learning Engineer roles in Poland average around 34 days, necessitating efficient recruitment approaches to secure top talent in a rapidly evolving tech landscape.
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 exhibited fluctuating dynamics over the past 12 weeks. Notable spikes were observed during weeks 22 and 31, with job postings reaching 46 and 55 openings, respectively. In contrast, the closing of jobs has been relatively high, particularly in weeks 22 and 23, with 46 and 53 positions completed. This discrepancy suggests a competitive hiring environment, indicating potential recruitment challenges for CTOs and hiring managers. Compared to other European countries, Poland's job market for Artificial Intelligence Machine Learning roles showcases a robust demand, although careful recruitment strategies will be essential to harness the ongoing opportunities.

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 30
Luxoft Poland logo Luxoft Poland null null null 24
Grid Dynamics logo Grid Dynamics United States Information Technology & Services 2006 14
Base.com logo Base.com United Kingdom Information Technology & Services null 13
Lingaro logo Lingaro Poland Information Technology & Services 2008 13
Google logo Google United States Information Technology & Services 1998 12
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 11
EY logo EY United Kingdom Professional Training & Coaching 1989 10
Tenstorrent logo Tenstorrent Canada Computer Hardware 2016 10
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 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 Artificial Intelligence Machine Learning Engineers job market trends reveal a competitive landscape across Europe, with Poland presenting noteworthy characteristics. With a significant number of job openings relative to its talent pool, Poland's jobs-to-talent ratio suggests a moderately challenging hiring environment, especially when compared to countries like Germany, where job availability exceeds the talent supply, making recruitment easier. On the other hand, France and the Netherlands also reflect similar challenges as Poland, indicating a tightening labor market for Artificial Intelligence and Machine Learning professionals. As such, hiring managers, including CTOs and Engineering Managers, should consider tailored recruitment strategies to attract these valuable professionals within Poland's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Poland

Seniority Distribution of Machine Learning Engineering Jobs in Poland

In the Polish job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals a significant focus on Mid-Senior level positions, which account for 65% of available roles. Entry level positions make up 15% of the job market, followed by Associate roles at 10%. These insights into hiring trends indicate a robust demand for experienced professionals, providing valuable context for recruitment strategies in Poland's tech sector.

Chart about preferred employment type for Engineering roles in Poland

Preferred employment type for Engineering roles in Poland

In Poland's engineering job market, full-time positions dominate, comprising 92% of the total employment types. Contract roles account for 8% of the market, while part-time opportunities represent a mere 1%. Understanding these employment type distributions is crucial for hiring managers and CTOs strategizing recruitment in the rapidly evolving Artificial Intelligence Machine Learning sector.

Time to Hire Distribution for Artificial Intelligence in Poland

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Poland reveals significant insights for hiring managers in the tech sector. The majority of candidates are secured within a 30 to 40-day timeframe, with 424 openings filled at 30 days and 123 at 40 days. Notably, 168 positions are filled by 10 days, indicating a strong initial interest in roles within this specialized area. Recruitment strategies must consider these hiring trends to remain competitive, particularly as the demand for Senior Artificial Intelligence Machine Learning Developers continues to rise across Poland's evolving job market.

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 the Polish job market for Artificial Intelligence Machine Learning Engineers, Warsaw stands out as the leading city with 78% of the total job openings. Following Warsaw, Cracow and Wrocław contribute 14% and 13% respectively. This distribution underscores the significance of Warsaw as the capital and a key hub for talent in the Artificial Intelligence sector, a trend that is critical for hiring managers and CTOs considering recruitment strategies in Poland's tech landscape.

Most sought after technologies in Poland for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Poland, certain technologies are gaining significant traction among employers. Notably, Python is the most sought-after technology, with a frequency of 6,500, followed by Machine Learning at 3,788. Other prominent technologies include SQL, which appears 2,543 times, and Data Science, with 1,439 mentions. The demand for languages like Java (1,069) and R (716) further highlights the diverse skill set required for successful candidates. These trends, illustrated in the accompanying chart, set the stage for informed recruitment strategies for CTOs and hiring managers in Poland's tech sector.

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