Machine Learning Developer Hiring Trends in Lithuania

This report was last updated on Aug 9, 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 displays a challenging landscape, with only 31 new roles opened in the last three months against 11 positions closed in week 21 alone, highlighting the need for effective recruitment strategies amongst hiring managers.
Vilnius dominates the hiring landscape for Artificial Intelligence Machine Learning Engineers, accounting for 83% of job openings, followed by Kaunas with 7%, making these cities key targets for recruitment efforts.
The seniority distribution shows that 72% of the job openings are at the Mid-Senior level, while only 21% are entry-level positions, indicating a preference for experienced candidates in the market.
Average time to hire for Artificial Intelligence Machine Learning Engineers in Lithuania is currently around 35 days, suggesting that hiring managers must be prepared for a competitive recruitment process.
Key technologies such as Python, SQL, and Machine Learning are crucial for success in hiring, indicating that familiarity with these tools will be essential for CTOs and recruiters in securing top talent in Lithuania's tech sector.

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

In recent weeks, the job market for Artificial Intelligence Machine Learning Engineers in Lithuania has shown noticeable fluctuations. Over the last eight weeks, a total of 31 new positions were opened, peaking at 9 jobs in week 20 and declining to just 1 job in weeks 21 and 29. Conversely, the closing of positions has consistently outpaced openings, with a total of 11 jobs closed in week 21 alone, suggesting a challenging environment for recruitment amidst emerging trends in the demand for Artificial Intelligence Machine Learning professionals. This disparity may present a significant opportunity for hiring managers, as the need for qualified candidates continues to grow, especially when compared to other technical roles within the region and across Europe.

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

Here are a few specialized ai agencies you can trust:

Want to get personalized matches? Get started

Talent pool vs job openings for Artificial Intelligence Engineers in Lithuania

How competitive it is to hire Artificial Intelligence Engineers in Lithuania

The job market for Artificial Intelligence Machine Learning Engineers in Lithuania showcases significant competition as evidenced by the ratio of job openings to available talent. With a notable number of job openings compared to the size of the talent pool, Lithuania faces challenges in recruiting qualified professionals. In comparison, countries such as Germany, France, and the Netherlands have a more favorable hiring landscape, offering a larger talent pool relative to their job openings. Consequently, hiring managers in Lithuania will need to adopt strategic recruitment approaches to attract top-tier candidates in this highly sought-after niche. The trend indicates a tightening availability of Artificial Intelligence Machine Learning talent, signaling a need for effective hiring practices across the tech sector.

Seniority distribution of Machine Learning Engineer job openings in Lithuania

Seniority Distribution of Machine Learning Engineering Jobs in Lithuania

In Lithuania's Artificial Intelligence Machine Learning job market, the seniority distribution reveals significant insights for hiring managers. The Mid-Senior level positions account for 72% of the job openings, while Entry level roles comprise 21%. Additionally, Associate level jobs make up 7% of the available opportunities. Understanding this distribution is crucial for CTOs and recruiters as they navigate recruitment strategies within Lithuania's tech sector.

Preferred employment type for Engineering roles in Lithuania

In Lithuania's engineering job market, the predominant employment type for roles, including Artificial Intelligence Machine Learning Engineers, is full-time positions, accounting for 96% of available jobs. Contract roles represent a mere 4% of the market, while part-time and internship roles make up less than 2% combined. Understanding this distribution is crucial for hiring managers and CTOs devising effective recruitment strategies in Lithuania's competitive tech 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 Machine Learning Engineers in Lithuania exhibits a diverse distribution, indicating significant variations in recruitment timelines. Notably, the most common hiring duration spans between 30 to 35 days, accounting for 77 placements, reflecting the competitive nature of the job market. Additionally, a considerable number of candidates take longer, with 20 individuals hiring within 40 to 45 days. For hiring managers, understanding these timeframes is crucial for developing effective recruitment strategies that align with the evolving demand for Artificial Intelligence Machine Learning professionals in Lithuania's tech sector.

Expolore reports from other European Developer talent pools

View All Job Reports

Most popular cities in Lithuania to hire Artificial Intelligence Engineers

Top 5 cities in Lithuania to hire Artificial Intelligence Engineers

The data reveals a significant concentration of job openings for Artificial Intelligence Machine Learning Engineers in Lithuania, with Vilnius leading the way at 83% of the total listings. Kaunas follows with 7%, while remote opportunities account for 2% of the overall job market. This distribution highlights the capital, Vilnius, as a focal point for recruitment in Lithuania's competitive tech landscape, as illustrated in the accompanying chart.

Most sought after technologies in Lithuania for Machine Learning

Key technologies for Machine Learning Engineers

In the context of the Artificial Intelligence Machine Learning job market in Lithuania, several technologies stand out as critical to hiring success. Python leads the way with a substantial frequency of 7,675, indicating its dominance in AI and Machine Learning roles. Following closely are SQL and Machine Learning, with frequencies of 3,076 and 4,406 respectively, reflecting their importance in data manipulation and predictive modeling. Other notable technologies include R (716), Cloud (635), and AWS (902), which are essential for data processing and cloud-based solutions. These insights can guide recruitment strategies for CTOs and hiring managers as they navigate the current tech landscape, as illustrated in the accompanying chart.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.