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Machine Learning Developer Hiring Trends in Gdańsk, 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 Gdańsk, Poland, has shown fluctuating trends over the last three months, highlighting the need for agility in hiring strategies.
  • Top companies hiring for Artificial Intelligence Machine Learning roles include Sii Poland, Grid Dynamics, and Luxoft Poland, demonstrating a thriving tech ecosystem in Gdańsk.
  • The overall talent pool for Artificial Intelligence Machine Learning Engineers in Poland remains relatively constrained, creating a competitive environment for hiring, especially compared to other European markets.
  • Currently, there are numerous job openings for Artificial Intelligence Machine Learning Engineers, with a median time to hire of 34 days, indicating a need for strategic recruitment methods to attract qualified candidates.
  • The Gdańsk job market shows a strong preference for mid-senior level candidates, comprising 83% of available roles, underscoring the demand for experienced professionals in the sector.
Number of roles opened and closed for Machine Learning Engineers in Gdańsk in the last 3 months

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

In the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Gdańsk, Poland, has exhibited fluctuating trends. Notably, there were spikes in job openings, peaking at six new positions in week 27. However, this surge was countered by a rising closure rate, with 11 jobs closed across the last six weeks. This interplay suggests a tightening market for Artificial Intelligence Machine Learning roles, especially when compared to other tech positions in this region. Furthermore, when analyzing similar roles across other European countries, the stability of job postings for Artificial Intelligence Machine Learning Developers seems to contrast sharply with Gdańsk’s market volatility.

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 European job market for Artificial Intelligence Machine Learning Engineers reveals a notable disparity between job openings and the available talent pool. In Poland, particularly in Gdańsk, there are currently numerous job opportunities, yet the talent pool remains relatively constrained, leading to a challenging hiring environment. Comparative analysis with countries such as Germany, where the number of job openings aligns more favorably with the talent pool, and Spain, where opportunities outnumber the available talent significantly, suggests a more competitive hiring landscape in Poland. The ratio of job openings to available talent in Poland indicates that recruitment for Artificial Intelligence Machine Learning positions may require more innovative and strategic approaches for hiring managers. As the demand for Senior Artificial Intelligence Machine Learning Developers continues to rise across Europe, including countries like France with burgeoning tech sectors, securing top talent in Poland will necessitate targeted recruitment strategies tailored for CTOs and engineering leaders.

Seniority distribution of Machine Learning Engineer job openings in Gdańsk

Seniority Distribution of Machine Learning Engineering Jobs in Gdańsk

In the Gdańsk job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals a strong emphasis on Mid-Senior level positions, comprising 83% of available roles. Entry-level positions account for 14%, while Associate roles represent only 3%. This distribution highlights the demand for experienced professionals in the Artificial Intelligence Machine Learning sector, making it essential for hiring managers to tailor their recruitment strategies accordingly.

Chart about preferred employment type for Engineering roles in Poland

Preferred employment type for Engineering roles in Poland

In the Polish tech sector, the employment type distribution for engineering roles reveals a significant preference for full-time positions, which constitute 92% of all relevant jobs. Meanwhile, contract roles account for 7% of the market, while part-time opportunities represent just 1%. This data highlights the strong demand for stable employment within the Artificial Intelligence and Machine Learning job market in Poland, particularly in cities like Gdańsk.

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 Engineers in Poland reflects a significant distribution across varying time frames. Notably, the majority of candidates, approximately 398 hires, are recruited within a 30-day window, indicating a robust demand for talent in this sector. However, a substantial number of roles remain filled beyond 30 days, with over 300 hires reported in the 31 to 70 days range, suggesting challenges in sourcing qualified candidates. Hiring managers should prepare for extended recruitment cycles, especially for Senior Artificial Intelligence Machine Learning Developers, to align with market trends. This insight is crucial for CTOs and Engineering Managers aiming to optimize their recruitment strategies in Poland's Gdańsk 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 distribution of job openings for Artificial Intelligence Machine Learning Engineers reveals that Warsaw leads with 63% of the total opportunities. Gdańsk, while significant, is not listed among the top contenders, as Cracow follows with 12% and Wrocław contributes 11% of the total job market. This data underscores the prominence of Warsaw as a central hub for AI talent in Poland, highlighting the need for effective recruitment strategies for CTOs and hiring managers navigating this competitive landscape.

Most sought after technologies in Gdańsk for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Poland, particularly in Gdańsk, several core technologies are prevalent. Python leads the way, with a frequency of 5,934, reflecting its critical role in developing AI and ML solutions. Following closely is SQL, utilized in data manipulation and retrieval, with 2,298 occurrences. The importance of Machine Learning is underscored by its frequency of 3,508, while Data Science and Data Analysis are also significant, with 1,346 and 1,100 mentions, respectively. Additionally, frameworks and tools such as AWS, Java, and R are integrated frequently, showcasing the diverse technological expertise required in the field. The accompanying chart illustrates these data points, providing further insights into the technologies shaping the industry.

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