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Machine Learning Developer Hiring Trends in Ukraine

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 Artificial Intelligence Machine Learning Engineers job market in Ukraine currently features approximately 1,200 job openings supported by a solid talent pool of 8,000 professionals, indicating a relatively moderate hiring environment.
  • In the last three months, hiring trends indicate fluctuations, with a peak of 10 new positions in week 23, yet accompanied by a notable number of job closures, peaking at 11 in weeks 23 and 25, reflecting a tighter labor market.
  • Kyiv remains the dominant city for hiring Artificial Intelligence Machine Learning Engineers, hosting 69% of job openings, followed by Lviv and Odesa, which account for 18% and 5% respectively, highlighting key locations for hiring managers.
  • The seniority distribution shows that 80% of positions are Mid-Senior level, underlining the demand for experienced professionals while only 12% are Entry-level roles, emphasizing the need for strategic recruitment initiatives to attract new talent.
  • The median time to hire for Artificial Intelligence Engineers in Ukraine is currently 34 days, featuring significant variability across job openings, necessitating adaptive recruitment strategies for CTOs and hiring managers in the tech sector.
Number of roles opened and closed for Machine Learning Engineers in Ukraine in the last 3 months

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

The job market for Artificial Intelligence Machine Learning Engineers in Ukraine has demonstrated notable fluctuations over the past 12 weeks. A peak of 10 new positions was recorded in week 23, while a significant decline was observed in week 22 with only three openings. In contrast, job closures showed a sharp rise, peaking at 11 in weeks 23 and 25. This disparity suggests that while demand temporarily increased, the hiring momentum is challenged by a substantial rate of closed positions. Comparatively, these trends may indicate a tighter labor market for Artificial Intelligence Machine Learning Developers in Ukraine than in other European countries, where hiring patterns have shown more stability.

Who else is hiring for ai Engineers in Ukraine:

Company name Country Industry Founded # Job openings
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 19
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 9
TSMG Holding logo TSMG Holding Poland Outsourcing/offshoring 2018 4
Avenga logo Avenga Germany Information Technology & Services 2019 4
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 4
Wix logo Wix Israel Information Technology & Services 2006 2
RemoteVA logo RemoteVA United States Outsourcing/offshoring null 2
SPD Technology logo SPD Technology United Kingdom Information Technology & Services 2006 2
Preply logo Preply United States Information Technology & Services 2012 2
Influ2 logo Influ2 United States Information Technology & Services 2017 2

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Talent pool vs job openings for Artificial Intelligence Engineers in Ukraine

How competitive it is to hire Artificial Intelligence Engineers in Ukraine

The job market for Artificial Intelligence Machine Learning Engineers presents a complex landscape across Europe, with significant demand juxtaposed against varying talent pools. In Ukraine, there are currently 1,200 job openings for AI Machine Learning Engineers, supported by a talent pool of 8,000 professionals, resulting in a jobs-to-talent ratio of 6.67. This suggests moderate hiring ease in Ukraine when compared to countries like Germany, with a ratio of 4.00 from 1,200 openings and 4,800 available talents, indicating a tougher market for hiring, and the United Kingdom, which exhibits a ratio of 3.75. Conversely, Poland shines with a ratio of 2.50, creating a more challenging environment for hiring as demand outstrips talent availability. Overall, while Ukraine has a healthy supply of candidates relative to job openings, hiring efficient AI Machine Learning Engineers could still present challenges, especially in comparison to other European nations.

Seniority distribution of Machine Learning Engineer job openings in Ukraine

Seniority Distribution of Machine Learning Engineering Jobs in Ukraine

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Ukraine reveals that 80% of positions are at the Mid-Senior level, suggesting a robust demand for experienced professionals in this field. Meanwhile, Entry level roles account for 12% of the market, indicating a growing interest in fostering new talent. Lastly, Associate positions represent 4% of the job landscape, emphasizing the need for personnel with foundational expertise. These trends highlight the importance of tailored recruitment strategies for CTOs and hiring managers in Ukraine's tech sector.

Chart about preferred employment type for Engineering roles in Ukraine

Preferred employment type for Engineering roles in Ukraine

In the Ukrainian job market for engineering roles, the predominant employment type is Full-time, representing 96% of the positions available. Contract roles follow, accounting for 4% of the job distribution, while Part-time positions hold a minimal share at 2%. This landscape highlights the strong preference for stable, long-term employment in the tech sector, essential for hiring managers looking to align their recruitment strategies.

Time to Hire Distribution for Artificial Intelligence in Ukraine

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Ukraine demonstrates significant variability, with a notable concentration of vacancies requiring between 30 to 35 days to fill, accounting for 107 of the total positions. Specifically, 81 roles were filled within 30 days, while 26 took 35 days. In contrast, a smaller segment of the market indicates longer hiring periods, with 22 positions requiring up to 40 days and 12 up to 50 days. Recruitment strategies for CTOs in Ukraine's tech sector should align with these trends, as the average hiring duration suggests a growing demand for Artificial Intelligence Machine Learning talent amid increased competition across Europe.

Expolore reports from other European Developer talent pools

Most popular cities in Ukraine to hire Artificial Intelligence Engineers

Top 5 cities in Ukraine to hire Artificial Intelligence Engineers

In the competitive landscape of Ukraine's Artificial Intelligence Machine Learning job market, Kyiv stands out as the primary hub, accounting for 69% of job openings. Following Kyiv, Lviv and Odesa represent 18% and 5% of the total job distribution, respectively. This concentration of opportunities underscores the importance of the capital city for hiring managers seeking top talent in this sector, as illustrated in the accompanying chart.

Most sought after technologies in Ukraine for Machine Learning

Key technologies for Machine Learning Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Ukraine, a few technologies stand out due to their high frequency of use. Python remains the most prevalent technology, being utilized in approximately 6,500 instances. Following closely is Machine Learning, with a significant occurrence of 3,788, indicating its critical role in projects. SQL and Data Science are also frequently employed, with usage frequencies of 2,543 and 1,439 respectively. Additionally, the adoption of Deep Learning and Natural Language Processing (NLP) technologies, with frequencies of 554 and 556, showcases the diversity in skill sets required for today’s projects. For a detailed visualization of these trends, please refer to the accompanying chart.

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