Machine Learning Developer Hiring Trends in Lithuania

This report was last updated on Sep 6, 2025

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 job market in Lithuania is characterized by volatility, with 36 new job openings compared to 41 closures in the last 12 weeks, indicating a cautious landscape for hiring managers.
Major tech companies, including Danske Bank, Canonical, and EPAM Systems, are actively hiring, signifying robust demand from established firms for Artificial Intelligence Machine Learning Engineers in Lithuania.
With a talent pool heavily favoring Mid-Senior level professionals, representing 70% of openings, there exists a notable emphasis on recruiting experienced talent in the Artificial Intelligence and Machine Learning sector.
Vilnius stands out as the primary city for hiring, comprising 84% of the job market, signaling the necessity for hiring managers to focus their recruitment efforts in this metropolitan hub.
The median time to hire for Artificial Intelligence Engineers is approximately 35 days, highlighting the urgency for recruitment strategies that can adapt swiftly to attract and secure top candidates in this competitive environment.

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

The Artificial Intelligence Machine Learning job market in Lithuania has shown variable activity over the past 12 weeks. Notably, the number of new jobs posted peaked with 7 openings in week 31, whereas the total number of jobs closed reached a high of 13 in week 34. This discrepancy indicates potential volatility in hiring, with a total of 36 jobs opened compared to 41 closed, showcasing a trend that hiring managers need to navigate cautiously. In comparison with other European countries, Lithuania's market reflects similar challenges and opportunities as seen in locales where demand for Artificial Intelligence Machine Learning Engineers remains robust.

Who else is hiring for ai Engineers in Lithuania:

Company name	Country	Industry	Founded	# Job openings
Danske Bank	Denmark	Financial Services	1871	7
Canonical	United Kingdom	Information Technology & Services	2004	6
EPAM Systems	United States	Information Technology & Services	1993	4
Axelera AI	Netherlands	Semiconductors	2021	4
Exadel	United States	Information Technology & Services	1998	3
Cognizant	United States	Information Technology & Services	1994	3
Cast AI	United States	Information Technology & Services	2019	3
Exacaster	Lithuania	Information Technology & Services	2011	3
Vinted	Lithuania	Information Technology & Services	2008	2
Gcore	Luxembourg	Information Technology & Services	2014	2

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Talent pool vs job openings for Artificial Intelligence Engineers in Lithuania

How competitive it is to hire Artificial Intelligence Engineers in Lithuania

The recruitment landscape for Artificial Intelligence and Machine Learning Engineers across Europe reveals significant disparities, particularly when focusing on Lithuania. With a talent pool of X and Y job openings, the jobs-to-talent ratio indicates a challenging hiring environment in Lithuania compared to countries such as Poland, Germany, and Spain, where the availability of qualified candidates more favorably aligns with job opportunities. The future demand for Machine Learning Engineers in Lithuania suggests a need for strategic recruitment approaches, as competition intensifies in the growing tech sector. Hiring managers, including CTOs and Engineering Managers, must consider these trends in their recruitment strategies to effectively position themselves within the evolving market.

Seniority distribution of Machine Learning Engineer job openings in Lithuania

Seniority Distribution of Machine Learning Engineering Jobs in Lithuania

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Lithuania reveals a significant demand for Mid-Senior level professionals, comprising 70% of the total opportunities. Entry level positions make up 17%, while Associate roles account for 6%. This distribution indicates a favorable environment for experienced candidates in the Artificial Intelligence Machine Learning job market in Lithuania.

Preferred employment type for Engineering roles in Lithuania

In Lithuania's engineering job market, the distribution of employment types reveals a strong preference for full-time positions, which account for 96% of available roles. Contract positions represent 2% of the job offerings, while part-time roles are limited to 1%. This trend underscores the significant opportunities for professionals seeking stable employment in the Artificial Intelligence Machine Learning sector.

Time to Hire Distribution for Artificial Intelligence in Lithuania

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence and Machine Learning Engineer roles in Lithuania demonstrates a varied distribution, with the majority of hires occurring between 30 and 50 days. Specifically, 36 positions were filled in 30 days, while 22 roles took 25 days. This indicates a strong competitive landscape where hiring managers must act swiftly. Notably, only a few roles extend beyond 70 days, suggesting that prompt recruitment strategies are crucial for attracting top talent in the fast-evolving tech sector.

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Most popular cities in Lithuania to hire Artificial Intelligence Engineers

Top 5 cities in Lithuania to hire Artificial Intelligence Engineers

Analyzing the location distribution for Artificial Intelligence Engineers job openings in Lithuania reveals a significant concentration in Vilnius, which accounts for 84% of the total job market. Following closely is Kaunas, representing 7% of the openings, while Remote positions make up 2%. This data indicates that hiring managers should focus their recruitment strategies predominantly in Vilnius, as illustrated in the accompanying chart.

Most sought after technologies in Lithuania for Machine Learning

Key technologies for Machine Learning Engineers

The analysis highlights the most commonly utilized technologies for Artificial Intelligence and Machine Learning jobs in Lithuania. Python stands out as the leading programming language, with a frequency of 5,248 occurrences, reflecting its essential role in developing AI and ML solutions. Following closely is Machine Learning itself, with a notable frequency of 3,149. Other significant technologies include SQL (1,995), Data Science (1,229), and R (716), all of which play critical roles in data manipulation and analysis. The accompanying chart provides a visual representation of these technologies' prevalence, offering valuable insights for hiring managers navigating the recruitment landscape for Artificial Intelligence Machine Learning Engineers.

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