Agency Partners

Machine Learning Developer Hiring Trends in Bratislava, Slovakia

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 Engineers job market in Slovakia, particularly in Bratislava, is exhibiting dynamic trends with a noticeable fluctuation in openings and closures over the past three months.
  • Bratislava stands out as the prime location for hiring, accounting for 84% of all job opportunities in Slovakia, followed by Košice with 14%. This concentration signals that hiring managers should focus their recruitment efforts in the capital to access the largest talent pool.
  • The current talent pool for Artificial Intelligence Machine Learning Engineers is robust, with key technologies such as Python and SQL dominating job descriptions, indicating their critical role in candidate qualifications.
  • Despite the large number of job openings, hiring for these positions remains competitive, with a median time to hire of 34 days, suggesting that hiring managers must act swiftly to secure top talent before competitors do.
  • Top hiring companies in the region include Axelera AI, Canonical, and GlobalLogic, showcasing a diverse range of industries that are seeking to fill Artificial Intelligence Machine Learning roles, thereby emphasizing the multi-faceted demand for skilled professionals in this area.
Number of roles opened and closed for Machine Learning Engineers in Bratislava in the last 3 months

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

The job market for Artificial Intelligence Machine Learning Engineers in Slovakia Bratislava has shown a dynamic landscape over the past 12 weeks. The weekly job openings peaked in week 32 with 4 new listings, indicating a growing interest in these roles. However, this increase contrasts sharply with the fluctuations in job closures, particularly in weeks 26 and 29 where 5 and 3 roles respectively were closed, suggesting a challenge in retention or fit in the candidate pool. Compared to other roles within the region, the stability of openings for AI Machine Learning positions is notably less predictable, warranting targeted recruitment strategies for CTOs and hiring managers seeking to attract top talent in this critical area.

Who else is hiring for ai Engineers in Slovakia:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6
Canonical logo Canonical United Kingdom Information Technology & Services 2004 3
Swiss Re logo Swiss Re Switzerland Insurance 1863 3
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 3
The Flex logo The Flex United Kingdom Real Estate 2019 3
Siemens Healthineers logo Siemens Healthineers Germany Hospital & Health Care 2017 2
Caterpillar Inc. logo Caterpillar Inc. United States Machinery 1925 2
Takeda logo Takeda Japan Pharmaceuticals 1781 2
Convatec logo Convatec United Kingdom Medical Devices 1978 1
Kronospan logo Kronospan Liechtenstein Paper & Forest Products 1897 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 Slovakia

How competitive it is to hire Artificial Intelligence Engineers in Slovakia

In the competitive job market for Artificial Intelligence Machine Learning Engineers, Slovakia presents a nuanced picture. With a significant number of job openings relative to its available talent pool, Slovakia's hiring ecosystem suggests that recruiters may face challenges in securing top talent. When compared to countries like Poland and the Czech Republic, which exhibit a more favorable jobs-to-talent ratio, the hiring environment in Slovakia indicates a tighter competition for skilled professionals. Additionally, talent markets in Western Europe, such as Germany, often showcase an even greater disparity, making roles in Slovakia particularly attractive for AI and ML engineers seeking opportunities. Therefore, hiring managers in Slovakia should remain proactive in their recruitment strategies to navigate the complexities of this evolving talent landscape.

Seniority distribution of Machine Learning Engineer job openings in Bratislava

Seniority Distribution of Machine Learning Engineering Jobs in Bratislava

In the burgeoning Artificial Intelligence Machine Learning job market in Slovakia's capital, Bratislava, the distribution of seniority levels reveals significant insights for hiring managers. Approximately 50% of available positions are classified as Mid-Senior level, indicating a strong demand for professionals with substantial experience. Entry-level roles follow at 25%, highlighting the opportunities for candidates entering the field. Meanwhile, Associate positions account for 5%, demonstrating a consistent need for skilled individuals at varied career stages.

Chart about preferred employment type for Engineering roles in Slovakia

Preferred employment type for Engineering roles in Slovakia

In the Slovakian software development landscape, the employment type distribution reveals a significant preference for full-time positions, which constitute 93% of the job market. Contract roles account for 6% of available positions, while part-time roles make up 1%. This data underscores the strong inclination for stable, long-term employment among Artificial Intelligence and Machine Learning Engineers in Slovakia, particularly in Bratislava.

Time to Hire Distribution for Artificial Intelligence in Slovakia

How long does it take to hire Artificial Intelligence Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Slovakia, particularly in Bratislava, the distribution of time to hire reveals significant insights. The majority of job openings see a time to hire of 30 days or less, with 26 positions reported within this timeframe, indicating a strong demand for immediate talent acquisition. Notably, 19 positions took about 10 days to fill, highlighting the urgency for hiring managers to act quickly when targeting Artificial Intelligence Machine Learning Engineers. As time to hire extends beyond 30 days, we observe a gradual decline in the count of candidates, suggesting that prolonged hiring processes may hinder access to this sought-after talent pool. For CTOs and recruitment professionals, understanding these trends is crucial for implementing effective hiring strategies in Bratislava's evolving tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Slovakia to hire Artificial Intelligence Engineers

Top 5 cities in Slovakia to hire Artificial Intelligence Engineers

In Slovakia, the distribution of Artificial Intelligence Engineer job openings is heavily concentrated in the capital, Bratislava, which accounts for 84% of the total job postings. Following Bratislava, Košice represents 14% of the opportunities, while the remainder of the country, including both remote and smaller cities, makes up just 2%. This concentration in Bratislava underscores the city's prominence in the Artificial Intelligence Machine Learning job market in Slovakia.

Most sought after technologies in Bratislava for Machine Learning

Key technologies for Machine Learning Engineers

In the ever-evolving landscape of the Artificial Intelligence Machine Learning job market, particularly in Slovakia and Bratislava, several technologies stand out due to their high demand. Python leads the sector with a remarkable frequency of 6500, indicating its essential role in ML and AI applications. Following Python, SQL has a substantial presence with 2543 occurrences, reflecting its importance in data management and analysis. Other notable technologies include Machine Learning at 3788, Data Science at 1439, and Deep Learning at 554, all of which are critical for developing robust AI solutions. For hiring managers, understanding the prevalence of these technologies, as illustrated in the accompanying chart, is crucial for attracting qualified candidates in an increasingly competitive job market.

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.