Machine Learning Developer Hiring Trends in Vilnius, Lithuania

This report was last updated on Aug 10, 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 Engineers job market in Lithuania, specifically in Vilnius, has recently shown a challenging landscape, with 7 new roles appearing in week 20, while closures peaked at 8 positions in week 21, indicating a tightening supply of talent.
The demand for Artificial Intelligence Machine Learning Engineers in Vilnius is reflected in the great interest from leading companies, including Danske Bank, Axelera AI, and EPAM Systems, which are significantly driving hiring efforts in the area.
Notably, there are currently 34 job openings specifically for Artificial Intelligence Machine Learning Engineers in Vilnius, with 83% of positions centered in the city, highlighting its prominence as a hub for tech talent in Lithuania.
The median time to hire for AI Engineers in Lithuania stands at 34 days, indicating a need for efficient recruitment strategies, especially as the job market becomes progressively competitive for qualified candidates.
With a majority of positions categorized as mid-senior level roles, CTOs and Engineering Managers should tailor their recruitment strategies to target this demographic effectively, as it accounts for 56% of job vacancies in the market.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Lithuania, specifically in Vilnius, has shown a fluctuating pattern. Notably, there were 7 new jobs posted in week 20, but this number subsequently declined, reaching only 1 job posted in week 21. Meanwhile, the weekly closure of job positions peaked in week 21 with 8 roles closed, consistently averaging around 4 closures per week thereafter. The significant number of closed positions relative to newly posted jobs suggests a growing challenge in attracting AI and ML talent in Lithuania. Compared to other roles in the region, the disparity in job openings vs. closures for AI and ML engineers indicates increasing competitive pressures in the tech sector, highlighting the need for strategic recruitment approaches tailored for CTOs operating in Vilnius.

Who else is hiring for ai Engineers in Lithuania:

Company name	Country	Industry	Founded	# Job openings
Danske Bank	Denmark	Financial Services	1871	6
Axelera AI	Netherlands	Semiconductors	2021	5
Canonical	United Kingdom	Information Technology & Services	2004	3
EPAM Systems	United States	Information Technology & Services	1993	3
Cognizant	United States	Information Technology & Services	1994	3
Exacaster	Lithuania	Information Technology & Services	2011	3
Unisys	United States	Information Technology & Services	1816	3
Revolut	United Kingdom	Financial Services	2015	2
Cast AI	United States	Information Technology & Services	2019	2
The Flex	United Kingdom	Real Estate	2019	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 current job market for Artificial Intelligence Machine Learning Engineers in Lithuania, particularly in Vilnius, presents distinct challenges for hiring managers. With a modest number of job openings contrasted against a larger available talent pool, Lithuania's ratio indicates a moderately competitive hiring environment. In comparison, countries such as Germany and France experience higher job counts with a similarly substantial talent base, making recruitment processes more straightforward for CTOs and engineering managers. However, in markets like Finland, where job openings are fewer relative to a compact talent pool, hiring may prove more difficult. This scenario emphasizes the necessity for tailored recruitment strategies in Lithuania, Vilnius to attract qualified Artificial Intelligence Machine Learning Developers.

Seniority distribution of Machine Learning Engineer job openings in Vilnius

Seniority Distribution of Machine Learning Engineering Jobs in Vilnius

In Lithuania's capital, Vilnius, the seniority distribution for Artificial Intelligence Machine Learning Engineering positions reveals a notable emphasis on mid-level expertise. Approximately 56% of the jobs are categorized as Mid-Senior level, while Entry level positions account for 16%. Internship roles, though fewer, represent about 6% of the market, underscoring the growing interest in nurturing talent within the industry.

Preferred employment type for Engineering roles in Lithuania

In the Lithuanian software development job market, the predominant employment type for engineering roles is full-time positions, accounting for 96% of job listings. This is followed by contract roles, making up 4%, and part-time positions, which represent less than 1%. The data indicates a strong preference for full-time employment, suggesting that hiring managers in Lithuania should focus their recruitment strategies for Artificial Intelligence Machine Learning Engineers in this domain.

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 Machine Learning engineers in Lithuania demonstrates a varied distribution, highlighting significant trends relevant to hiring managers in the tech sector. Most notably, the largest proportion of hires, accounting for 30 positions, occurred within a 25-day timeframe. Additionally, there is a substantial number of candidates available within the 30-day window, with 48 hires, indicating a potential pool of talent readily accessible to CTOs and engineering managers. However, as the timeline extends beyond 30 days, the number of hires declines, suggesting that swift recruitment strategies can be advantageous in acquiring top talent. Ultimately, understanding these time to hire trends is crucial for tech leaders aiming to navigate the competitive landscape of the Artificial Intelligence Machine Learning job market in Lithuania, particularly in Vilnius.

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Most popular cities in Lithuania to hire Artificial Intelligence Engineers

Top 5 cities in Lithuania to hire Artificial Intelligence Engineers

In Lithuania, the distribution of Artificial Intelligence Engineer job openings is predominantly centered in Vilnius, which accounts for 83% of the total positions available. Following Vilnius, Kaunas contributes 8% to the overall job market. Although 7% of positions are available remotely, Vilnius remains a focal point for talent in the artificial intelligence sector, underscoring the city's significance in the job market. Please refer to the accompanying chart for detailed insights.

Most sought after technologies in Vilnius for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Lithuania, particularly in Vilnius, certain technologies dominate hiring trends. Notably, Python emerges as the most sought-after language, with a frequency of 7,675, reflecting its essential role in AI and machine learning projects. Close behind is SQL, used in 3,076 instances, highlighting the importance of data management. Additionally, Machine Learning has a substantial presence with 4,406 mentions, underscoring its critical application in developing intelligent systems. The chart accompanying this paragraph provides further insight into the frequency of these technologies, offering a clear perspective for hiring managers aiming to stay ahead in the recruitment landscape.

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