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Machine Learning Developer Hiring Trends in Gdańsk, Poland

This report was last updated on Aug 3, 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 Gdańsk has showcased significant fluctuations, with an average of 2.14 new job openings per week contrasted by a higher closure rate of 2.08 positions per week, indicating a competitive hiring environment.
  • In Gdańsk, the majority of Artificial Intelligence Machine Learning Engineering roles (83%) are targeting Mid-Senior level professionals, signaling strong demand for experienced talent in the region.
  • With 66% of job openings concentrated in Warsaw, Gdańsk stands out as a secondary hub, featuring notable activity among key employers including Sii Poland, Luxoft, and Lingaro, who collectively showcase robust hiring practices in the Artificial Intelligence Machine Learning job market.
  • The median time to hire for Artificial Intelligence Engineers in Poland is currently 34 days, highlighting the urgency for hiring managers to adopt efficient recruitment strategies amid increasing demand for talent.
  • Full-time positions dominate the employment type distribution in Poland's tech sector, accounting for 91% of roles, emphasizing the need for stability and engagement among Artificial Intelligence Machine Learning Engineers in Gdańsk.
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

The job market for Artificial Intelligence Machine Learning Engineers in Gdańsk has exhibited notable fluctuations over the past 12 weeks. On average, there were 2.14 new job openings per week, peaking at 6 in week 27. However, the closure of roles was significantly higher, averaging 2.08 per week, with a sharp spike observable in week 20 where 8 positions were closed. This trend indicates a competitive environment, suggesting that hiring managers should consider recruitment strategies that focus on the limited supply of qualified candidates. Compared to other roles in the tech sector, the attrition of positions signifies a need for targeted initiatives in attracting talent within the Artificial Intelligence Machine Learning job market in Poland, particularly in Gdańsk.

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 51
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 20
Luxoft Poland logo Luxoft Poland null null null 19
Lingaro logo Lingaro Poland Information Technology & Services 2008 13
Google logo Google United States Information Technology & Services 1998 10
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 10
EY logo EY United Kingdom Professional Training & Coaching 1989 9
AMD logo AMD United States Semiconductors 1969 9
Grid Dynamics logo Grid Dynamics United States Information Technology & Services 2006 9
Capgemini logo Capgemini France Management Consulting 1967 8

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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 in Poland Gdańsk indicate a competitive landscape, characterized by a job openings to talent pool ratio that suggests hiring challenges. Poland has a notable count of job openings, yet its talent pool remains limited compared to other European countries. In contrast, countries like Germany and the Netherlands display more favorable ratios, highlighting their larger available talent pools for these sought-after roles. This situation makes recruitment strategies for CTOs in Poland Gdańsk's tech sector particularly crucial, as navigating the local market may require innovative approaches to attract the right candidates. Therefore, hiring managers must consider both the current demand for Artificial Intelligence Machine Learning Engineers and the emerging trends in hiring across Europe when positioning their opportunities.

Seniority distribution of Machine Learning Engineer job openings in Gdańsk

Seniority Distribution of Machine Learning Engineering Jobs in Gdańsk

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Gdańsk reveals a strong demand for Mid-Senior level professionals, accounting for 83% of positions. Entry level roles comprise 10%, while Associate positions represent 3%. This data highlights the competitive landscape for hiring managers seeking to recruit talent in the Artificial Intelligence Machine Learning job market in Poland Gdańsk.

Chart about preferred employment type for Engineering roles in Poland

Preferred employment type for Engineering roles in Poland

In Poland, the employment type distribution for engineering roles reveals a strong preference for Full-time positions, accounting for 91% of available jobs. Contract roles make up 8%, while Part-time positions represent only 1%. This data underscores the demand for stability and long-term engagement among professionals in the technology sector, particularly for Artificial Intelligence Machine Learning Engineers in Poland 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 Engineer positions in Poland exhibits notable variance, with a significant concentration of hires occurring between 30 to 40 days, accounting for 591 positions. Specifically, 466 out of the total recorded counts fall within the 30-day bracket, indicating that the majority of organizations in Poland are successfully onboarding candidates within this timeframe. The data further reveals a decrease in hiring activity beyond 35 days, as evidenced by a substantial drop in counts, suggesting that the competitive nature of the Artificial Intelligence Machine Learning job market in Poland is influencing quicker decision-making processes for recruitment. For hiring managers and CTOs in Gdańsk, understanding this hiring trend can inform effective recruitment strategies to attract top talent efficiently. As demand for Artificial Intelligence Machine Learning Developers continues to evolve, optimizing the hiring timeframe can enhance recruitment efforts in Gdańsk's burgeoning tech sector.

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Most popular cities in Poland to hire Artificial Intelligence Engineers

Top 5 cities in Poland to hire Artificial Intelligence Engineers

The location distribution for Artificial Intelligence Engineers job openings in Poland highlights significant activity concentrated in major cities. Warsaw leads with 66% of the job openings, followed by Cracow with 20% and Wrocław with 19%. This data underscores the prominence of Warsaw as Poland's capital in the Artificial Intelligence Machine Learning job market, emphasizing its importance for hiring managers and recruiters.

Most sought after technologies in Gdańsk for Machine Learning

Key technologies for Machine Learning Engineers

In the context of the Artificial Intelligence Machine Learning job market in Poland, particularly in Gdańsk, several key technologies dominate the landscape. Python leads with a frequency of 8,156, reflecting its pivotal role in AI and Machine Learning development. Following closely are SQL and Machine Learning itself, with frequencies of 3,272 and 4,640, respectively. Other significant technologies include R with 716 and Cloud solutions, noted for their critical integration in data handling and storage. For a comprehensive overview of these technologies, refer to the accompanying chart.

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