Agency Partners

Machine Learning Developer Hiring Trends in Croatia

This report was last updated on Aug 16, 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 job market in Croatia demonstrates a robust landscape, highlighted by the current availability of 800 job openings and a talent pool of approximately 1,200 candidates, resulting in a competitive jobs-to-talent pool ratio of 1.5.
  • Key hiring trends indicate a heavy concentration of job opportunities in Zagreb, which accounts for 89% of positions, followed by Rijeka and Split, marking the capital as the central hub for Artificial Intelligence Machine Learning talent.
  • The majority of positions, 93%, are full-time roles, reflecting a strong preference for stable employment among candidates, which is essential for hiring managers to consider when framing their recruitment strategies.
  • The demand for mid-senior level professionals is particularly significant, as these roles make up 46% of the job market, underscoring the need for targeted recruitment approaches to attract this essential talent segment.
  • The median time to hire for Artificial Intelligence Machine Learning Engineers in Croatia stands at 34 days, with a considerable number of candidates being hired within a 35-day timeframe, emphasizing the necessity for prompt and efficient hiring processes to secure top talent.
Number of roles opened and closed for Machine Learning Engineers in Croatia in the last 3 months

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

The latest data on the Artificial Intelligence Machine Learning job market in Croatia reveals a dynamic landscape for hiring managers. Over the past 12 weeks, there has been a noticeable fluctuation in job openings, with a peak of 7 new positions in week 23. However, the closure of jobs has also been significant, with weeks recording up to 7 closed roles, indicating possible volatility in demand. In comparison to other European countries, Croatia's market for Artificial Intelligence Machine Learning Engineers demonstrates a growth potential, with recruitment strategies needing to adapt to this rapidly changing environment.

Who else is hiring for ai Engineers in Croatia:

Company name Country Industry Founded # Job openings
Vertiv logo Vertiv United States Electrical/electronic Manufacturing 2016 10
Infobip logo Infobip United Kingdom Information Technology & Services 2006 7
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 6
ENT - Ericsson Nikola Tesla logo ENT - Ericsson Nikola Tesla Croatia Information Technology & Services null 5
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 5
Canonical logo Canonical United Kingdom Information Technology & Services 2004 3
Elixirr Digital logo Elixirr Digital United Kingdom Information Technology & Services 1999 3
Casumo logo Casumo Malta Gambling & Casinos 2012 2
Happening logo Happening United Kingdom Information Technology & Services 2022 2
Roto dinamic d.o.o. logo Roto dinamic d.o.o. null null null 1

Here are a few specialized ai agencies you can trust:

Logo of recommended agencyLogo of recommended agencyLogo of recommended agency
Want to get personalized matches? Get started
Talent pool vs job openings for Artificial Intelligence Engineers in Croatia

How competitive it is to hire Artificial Intelligence Engineers in Croatia

The job market for Artificial Intelligence Machine Learning Engineers in Croatia presents a challenging recruitment landscape, heavily influenced by the available talent pool and number of job openings. With a count of 800 job openings and a talent pool of only 1,200 candidates, Croatia exhibits a jobs-to-talent pool ratio of 1.5. In comparison, neighboring countries like Poland, with 2,000 openings and a talent pool of 5,000, and Germany, which boasts 5,000 job openings against a talent pool of 15,000, illustrate a more favorable hiring environment. This analysis indicates that, while there are opportunities for Artificial Intelligence Machine Learning Developers in Croatia, the demand currently outpaces the available supply, positioning it as a competitive market for hiring managers and CTOs seeking to fill these pivotal roles.

Seniority distribution of Machine Learning Engineer job openings in Croatia

Seniority Distribution of Machine Learning Engineering Jobs in Croatia

The current distribution of job opportunities for Artificial Intelligence and Machine Learning Engineers in Croatia reveals a significant demand for skilled professionals, particularly at the mid-senior level, which accounts for 46% of available positions. Entry-level roles represent 35% of the market, while associates comprise 14%. This distribution highlights the crucial need for targeted recruitment strategies focused on attracting and retaining mid-senior talent within Croatia's evolving tech sector.

Chart about preferred employment type for Engineering roles in Croatia

Preferred employment type for Engineering roles in Croatia

In Croatia's engineering job market, Full-time positions dominate with 93% of listings, illustrating a strong preference for stable employment among candidates. Contract roles account for 6% of the market, indicating a moderate appetite for flexibility, while Part-time opportunities make up 1%, reflecting limited options for those seeking reduced hours. This distribution highlights the need for hiring managers, particularly CTOs and Engineering Managers, to adapt their recruitment strategies to attract talent in line with these trends.

Time to Hire Distribution for Artificial Intelligence in Croatia

How long does it take to hire Artificial Intelligence Engineers

The distribution of time to hire for Artificial Intelligence Machine Learning Engineers in Croatia reveals notable trends pertinent to hiring managers. A significant portion of candidates (39) are hired within the 35-day frame, suggesting that prompt recruitment strategies may be crucial for CTOs and engineering managers facing talent shortages. The variance in hire times, extending up to 105 days, indicates a competitive landscape where prolonged hiring could lead to lost opportunities. With a higher concentration of hires occurring between 20 to 60 days, prospects for Artificial Intelligence Machine Learning Developer opportunities appear to demand a proactive approach in recruitment strategies tailored to Croatia's tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Croatia to hire Artificial Intelligence Engineers

Top 5 cities in Croatia to hire Artificial Intelligence Engineers

In Croatia, the distribution of job openings for Artificial Intelligence Machine Learning Engineers reveals a significant concentration in major cities. Zagreb leads with 89% of the total relevant positions, highlighting its status as the capital and tech hub of the country. Following Zagreb, Rijeka and Split account for 5% and 2% of the job market, respectively, indicating opportunities in these regions as well. For a visual representation, please refer to the accompanying chart.

Most sought after technologies in Croatia for Machine Learning

Key technologies for Machine Learning Engineers

The data highlights a clear preference for specific technologies within the Artificial Intelligence Machine Learning job market in Croatia. Python emerges as the leading technology with a frequency of 6,500, indicating its vital role in Machine Learning applications. Following Python, SQL and Machine Learning also demonstrate significant usage, with frequencies of 2,543 and 3,788 respectively. Additionally, Data Science and R are prominent technologies, appearing frequently with counts of 1,439 and 716. For a comprehensive overview of these technologies, please refer to 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.