Machine Learning Developer Hiring Trends in Ljubljana, Slovenia

This report was last updated on Jul 13, 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 Ljubljana, Slovenia, is witnessing a nuanced upward trend, with job openings peaking at 2 in week 26, despite challenges highlighted by a surge in closures, peaking at 7 in week 21, indicating a competitive environment for hiring managers.
In Ljubljana, the median time to hire for Artificial Intelligence Engineers stands at 32 days, which suggests a relatively efficient hiring process, though the market's volatility in job availability should prompt CTOs and tech leads to adjust their recruitment strategies accordingly.
There is a notable concentration of demand for Artificial Intelligence Machine Learning Engineers in Ljubljana, which accounts for 86% of job openings in Slovenia, reflecting the city's prominence as the focal point for hiring activities.
The seniority distribution reveals a strong preference for Mid-Senior level professionals, making up 61% of the job market, while the rise in Entry level roles (20%) and Associate positions (12%) indicates a growing need for experienced candidates, driving recruitment approaches to focus on talent retention at these levels.
Key hiring trends in Slovenia's tech landscape highlight a competitive recruiting environment, as Slovenia's jobs-to-talent ratio suggests potential challenges in attracting skilled professionals, necessitating proactive recruitment strategies for CTOs and Engineering Managers to navigate an evolving job market.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Slovenia Ljubljana has displayed a modest yet gradual upward trend, with the number of new jobs posted peaking at 2 in week 26, while recruitment activity remained stagnant in certain weeks. Notably, job closures have surged, particularly in earlier weeks, with a high of 7 positions closed in week 21. This indicates a challenging environment for recruitment, suggesting that hiring managers should adopt robust recruitment strategies to secure top talent. In comparison to other roles within Slovenia Ljubljana and across Europe, the demand for Artificial Intelligence Machine Learning Engineers appears to be more volatile, prompting CTOs and Engineering Managers to continuously adapt to the changing hiring landscape.

Who else is hiring for ai Engineers in Slovenia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	7
Axelera AI	Netherlands	Semiconductors	2021	3
Sunrise Robotics	null	Machinery	null	3
Pipistrel Aircraft	Slovenia	Aviation & Aerospace	1989	2
Zurich Insurance	Switzerland	Insurance	1872	2
Cast AI	United States	Information Technology & Services	2019	1
Manpower Slovenija	Slovenia	Staffing & Recruiting	2003	1
Danfoss	Denmark	Machinery	1933	1
Coley S Home Remodeling	United States of America	Construction	null	1
University of Ljubljana, Faculty of Computer and Information Science	null	null	null	1

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Talent pool vs job openings for Artificial Intelligence Engineers in Slovenia

How competitive it is to hire Artificial Intelligence Engineers in Slovenia

The job market for Artificial Intelligence Machine Learning Engineers in Slovenia, particularly in Ljubljana, reflects a significant disparity between available job openings and the talent pool. Slovenia has a jobs-to-talent ratio that suggests a competitive environment for hiring, as seen when compared to neighboring countries such as Austria, where there is a larger pool of talent relative to job openings, and Germany, which exhibits strong demand but similar challenges. In contrast, Poland demonstrates a relatively balanced market, making it moderately easier to recruit talent. This analysis indicates that while opportunities for Artificial Intelligence Machine Learning Developers are expanding in Slovenia, hiring managers may find it increasingly difficult to attract skilled professionals due to the limited talent availability.

Seniority distribution of Machine Learning Engineer job openings in Ljubljana

Seniority Distribution of Machine Learning Engineering Jobs in Ljubljana

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Slovenia's capital, Ljubljana, reveals a strong demand for Mid-Senior level professionals, comprising 61% of the job market. Entry level positions account for 20%, while Associate roles represent 12%. This trend indicates a growing preference for experienced candidates in the tech sector, suggesting that recruitment strategies must adapt to attract and retain talent at these key levels.

Preferred employment type for Engineering roles in Slovenia

The employment type distribution of engineering roles in Slovenia indicates a strong preference for full-time positions, comprising 89% of the market with 3,335 available jobs. Contract roles account for 10% with 410 positions, while part-time opportunities represent a modest 3% of the total at 130 jobs. This data highlights the predominant demand for full-time employment among engineering professionals in Slovenia, particularly for roles related to Artificial Intelligence and Machine Learning.

Time to Hire Distribution for Artificial Intelligence in Slovenia

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence and Machine Learning positions in Slovenia indicates key insights for hiring managers. A significant majority of candidates, approximately 26, are hired within a 30-day timeframe, reflecting a favorable and efficient recruitment process in the tech sector. However, as the time to hire increases, there is a notable decline in candidates, with only 1 candidate hired after 100 days. Hiring managers, including CTOs and Engineering Managers, should be aware that while the market shows promising quick hiring trends, there is still a potential risk in longer recruitment cycles that may impact project timelines. The focus should be on optimizing recruitment strategies to attract talent swiftly, especially for lucrative roles such as Senior AI and Machine Learning Developers.

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Most popular cities in Slovenia to hire Artificial Intelligence Engineers

Top 5 cities in Slovenia to hire Artificial Intelligence Engineers

In Slovenia, the location distribution for Artificial Intelligence Engineers job openings is predominantly centered in Ljubljana, which accounts for 86% of the total relevant positions. Following Ljubljana, Slovenia as a whole represents 10% of the job openings, with Remote opportunities making up 10% as well. This data illustrates a strong concentration of demand within the capital, making it a focal point for hiring managers in the tech sector.

Most sought after technologies in Ljubljana for Machine Learning

Key technologies for Machine Learning Engineers

The analysis of the job market for Artificial Intelligence and Machine Learning Engineers in Slovenia, particularly in Ljubljana, reveals a strong emphasis on several key technologies. Predominantly, Python leads with a usage frequency of 9,798, reflecting its essential role in AI and ML development. Following closely, Machine Learning holds a frequency of 5,478, highlighting the sector's focus on advanced predictive modeling. SQL, at 4,088, is crucial for data manipulation and querying, while Data Analysis (2,453) and Data Science (2,043) are also significant competencies sought by hiring managers. The accompanying chart illustrates these technologies' prevalence, providing further insights into hiring trends for CTOs and recruiters in the local tech landscape.

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