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Machine Learning Developer Hiring Trends in Slovakia

This report was last updated on Sep 7, 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 job market for Artificial Intelligence Machine Learning Engineers in Slovakia has observed the opening of 23 new positions alongside 27 closures over the past 12 weeks, indicating a challenging hiring environment with shifting dynamics.
  • The median time to hire for Artificial Intelligence Engineers in Slovakia stands at 36 days, emphasizing the need for efficient recruitment strategies to meet the high competition for talent.
  • Slovakia's talent pool for Artificial Intelligence Machine Learning Engineers is currently estimated at 4,800 professionals, with a jobs-to-talent ratio of 4.0, presenting moderate hiring challenges compared to other European countries.
  • Bratislava remains the primary hub for job opportunities in this field, accounting for 85% of the available positions, followed by Košice, which represents 13%, suggesting a concentrated recruiting effort in the capital city.
  • Full-time roles dominate the employment landscape for Artificial Intelligence Machine Learning Engineers in Slovakia, comprising 93% of the job offerings, indicating a strong preference among employers for stable employment.
Number of roles opened and closed for Machine Learning Engineers in Slovakia in the last 3 months

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Slovakia has demonstrated fluctuating dynamics, with a total of 23 new positions opened. Notably, the highest influx of new job postings occurred in weeks 25 and 26, each recording four new positions. However, the market saw a concerning trend in job closures, with a total of 27 roles closed during the same period, peaking at six closures in week 32. This pattern indicates a challenging hiring environment, where the demand for talent does not keep pace with closures, compelling recruitment strategies that attract qualified candidates. In comparison to other roles in Slovakia, the volatility within the AI and Machine Learning segment highlights a distinctive need for strategic alignment in recruitment efforts to address the specific challenges faced within this critical domain.

Who else is hiring for ai Engineers in Slovakia:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 5
Swiss Re logo Swiss Re Switzerland Insurance 1863 4
Canonical logo Canonical United Kingdom Information Technology & Services 2004 3
The Flex logo The Flex United Kingdom Real Estate 2019 3
Bloomreach logo Bloomreach United States Information Technology & Services 2009 3
Takeda logo Takeda Japan Pharmaceuticals 1781 3
Siemens Healthineers logo Siemens Healthineers Germany Hospital & Health Care 2017 2
Caterpillar Inc. logo Caterpillar Inc. United States Machinery 1925 2
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 2
Fédération Française de Natation logo Fédération Française de Natation France Sports null 1

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Talent pool vs job openings for Artificial Intelligence Engineers in Slovakia

How competitive it is to hire Artificial Intelligence Engineers in Slovakia

The job market for Artificial Intelligence Machine Learning Engineers in Slovakia presents a competitive landscape when compared to other European countries. With a current count of 1,200 job openings and a talent pool of 4,800, Slovakia has a jobs-to-talent ratio of 4.0, indicating moderate hiring challenges. In contrast, countries like Germany, which has 15,000 openings and a talent pool of 40,000 (ratio of 2.67), and Poland with 5,000 openings and a talent pool of 20,000 (ratio of 4.0), demonstrate more accessible hiring conditions. Overall, while Slovakia's market reflects promising recruitment potential for CTOs seeking Artificial Intelligence Machine Learning Engineers, the recruitment strategies must be finely tuned to navigate the high competition for talent, especially as demand for this skill set continues to rise across Europe.

Seniority distribution of Machine Learning Engineer job openings in Slovakia

Seniority Distribution of Machine Learning Engineering Jobs in Slovakia

In Slovakia's job market for Artificial Intelligence Machine Learning Engineers, the distribution of seniority levels reveals significant insights for hiring managers. Currently, 56% of positions are categorized as Mid-Senior level, followed by 24% at the Entry level, and 10% for Associate roles. This seniority distribution indicates a strong demand for experienced professionals, making it essential for CTOs and recruiters to tailor their recruitment strategies accordingly.

Chart about preferred employment type for Engineering roles in Slovakia

Preferred employment type for Engineering roles in Slovakia

In Slovakia, the employment type distribution for engineering roles reveals a significant demand for Full-time positions, representing 93% of job opportunities. Contract roles make up 6% of the market, while Part-time positions account for 1%. This data highlights the strong preference for stable employment in the Artificial Intelligence Machine Learning job market in Slovakia, signaling that hiring managers should prioritize Full-time candidates to meet the growing demand.

Time to Hire Distribution for Artificial Intelligence in Slovakia

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Slovakia demonstrates a diverse distribution, with a notable concentration of hires typically occurring within the 30 to 50-day range. Specifically, 13 candidates were hired at the 30-day mark, while another 13 were secured at 50 days. Additionally, hiring trends indicate increments of time with 14 hires at 35 days and 7 at both 40 and 60 days. This distribution suggests that hiring managers and recruiters in Slovakia's tech sector should anticipate varying timelines, emphasizing the need for effective recruitment strategies in order to attract top talent in the competitive Artificial Intelligence Machine Learning job market.

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 job market for Artificial Intelligence Engineers is predominantly concentrated in Bratislava, which accounts for 85% of the total job openings within this field. Following Bratislava, Košice represents 13% of the available positions, while the broader national market shows a mere 12% in the overall context, which includes other regions and remote opportunities. The data highlights Bratislava's pivotal role in the country's tech ecosystem, especially for those looking to hire Artificial Intelligence Machine Learning Engineers.

Most sought after technologies in Slovakia for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Slovakia, certain technologies emerge as predominant. Notably, Python leads the way with a remarkable frequency of 5,248, making it an essential skill for aspiring Machine Learning Engineers. Other critical technologies include SQL (1,995), which is vital for data manipulation, and Machine Learning itself, with a frequency of 3,149, highlighting its central importance in this field. Moreover, Data Science (1,229) and AI (1,615) are increasingly relevant, reflecting the trend towards integrated approaches in Machine Learning solutions. For a comprehensive view of these technologies, please refer to the attached chart.

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