Machine Learning Developer Hiring Trends in Graz, Austria

This report was last updated on Jun 28, 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 Austria Graz has experienced significant fluctuations over the last three months, with 11 new positions posted against 14 closures, indicating a highly competitive hiring landscape.
The talent pool for Artificial Intelligence Machine Learning Engineers in Graz is currently estimated at 450 professionals, juxtaposed with 150 active job openings, resulting in a jobs-to-talent ratio of 3.0, which one should consider when designing recruitment strategies.
The leading companies hiring for Artificial Intelligence Machine Learning roles include the AIT Austrian Institute of Technology, Canonical, and Liebherr Group, reflecting the diverse sectors engaging in AI and machine learning advancements.
Vienna remains the dominant hub for recruiting Artificial Intelligence Engineers in Austria, with 82% of job openings, while Graz presents promising opportunities, accounting for 13% of the market.
The median time to hire for Artificial Intelligence Machine Learning Engineers in Austria is currently 34 days, necessitating efficient recruitment processes for hiring managers to attract and secure top talent.

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

In recent weeks, the Artificial Intelligence Machine Learning job market in Austria Graz has seen notable fluctuations. During weeks 14 to 25, a total of 11 new positions were posted, with the most significant activity occurring in week 14, where 4 roles were opened. However, the closure of roles has outpaced openings, as indicated by 14 job closures over the same period. This trend highlights a competitive landscape for employers, with more positions being closed than opened, signaling challenges in retaining talent. Comparatively, this trend mirrors broader hiring patterns across Europe, wherein emerging demands for Artificial Intelligence Machine Learning Engineers are met with increasing job competition, emphasizing the need for effective recruitment strategies tailored for CTOs and Engineering Managers.

Who else is hiring for ai Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
AIT Austrian Institute of Technology	Austria	Research	2009	9
Canonical	United Kingdom	Information Technology & Services	2004	5
Liebherr Group	Germany	Machinery	1949	5
Axelera AI	Netherlands	Semiconductors	2021	5
adesso Austria GmbH	Austria	Information Technology & Services	2009	4
Accenture DACH	Germany	It Services	null	4
TieTalent	Switzerland	Information Technology & Services	2017	3
Infineon Technologies	China	Semiconductors	1999	3
Boston Consulting Group (BCG)	United States	Management Consulting	1963	3
MED-EL	Austria	Medical Devices	1989	3

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Talent pool vs job openings for Artificial Intelligence Engineers in Austria

How competitive it is to hire Artificial Intelligence Engineers in Austria

The job market for Artificial Intelligence Machine Learning Engineers in Austria, particularly Graz, reveals a competitive landscape. With a job opening count of 150 and a talent pool size of 450, Austria demonstrates a jobs-to-talent ratio of 3.0, suggesting that hiring talent may pose some challenges. In comparison, countries such as Germany and the Netherlands exhibit similar trends, with job counts of 300 and 250, respectively, and talent pools of 900 and 600, resulting in ratios of 3.0 and 2.4. Conversely, Poland shows a more favorable environment with 200 job openings and a talent pool of 800, leading to a ratio of 4.0, indicating easier recruitment. This comparative analysis highlights that while Austria's tech sector is growing, hiring Artificial Intelligence Machine Learning Engineers may require strategic recruitment efforts.

Seniority distribution of Machine Learning Engineer job openings in Graz

Seniority Distribution of Machine Learning Engineering Jobs in Graz

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Austria Graz, the seniority distribution reveals that 56% of positions are entry-level, followed by 29% for associate roles, and 12% for mid-senior level engineers. This distribution underscores a significant influx of entry-level talent, indicating a burgeoning workforce poised to address the future demand for Artificial Intelligence Machine Learning Engineers in the region.

Preferred employment type for Engineering roles in Austria

In Austria, the employment type distribution for engineering roles reveals a significant preference for full-time positions, which constitute 95% of job offerings. Part-time roles account for 5%, while contract positions make up less than 5% at 4%. Additionally, internship opportunities represent a small fraction at 1%, illustrating the stability of the full-time job market in the context of hiring Artificial Intelligence Machine Learning Engineers in Austria Graz.

Time to Hire Distribution for Artificial Intelligence in Austria

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Austria showcases a significant distribution pattern, with a concentration of hires taking place between 30 to 40 days. Specifically, 143 candidates were hired within 30 days, while 83 hires occurred within the 35-day range, indicating a strong demand in the initial hiring phases. Notably, as the hiring timeframe extends past 40 days, there is a distinct decrease in the count of successful appointments, with only 22 candidates hired within 40 days and a further decline in subsequent intervals. Hiring managers in Graz's tech sector, particularly CTOs and Engineering Managers, should consider these trends as they devise recruitment strategies to optimize their hiring processes and secure top talent in the Artificial Intelligence Machine Learning job market.

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Most popular cities in Austria to hire Artificial Intelligence Engineers

Top 5 cities in Austria to hire Artificial Intelligence Engineers

In the analysis of the Artificial Intelligence Machine Learning Engineers job market in Austria, Vienna leads with 82% of the total job openings, showcasing its dominance as the tech hub in the country. Graz follows with 13%, reflecting a significant presence of opportunities for AI and ML professionals. Meanwhile, Linz accounts for 10% of the openings, indicating a competitive landscape for recruitment in Austria's emerging tech cities. For more detailed insights, refer to the accompanying chart.

Most sought after technologies in Graz for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving Artificial Intelligence Machine Learning job market in Austria, particularly in Graz, certain technologies stand out as essential for professionals in this sector. Python leads with a remarkable frequency of 10,592, reflecting its dominance in AI and machine learning applications. Following Python, SQL, integral for data management, has a frequency of 4,334, demonstrating its crucial role in data-driven environments. Machine Learning itself is a core focus area with 5,955 mentions, indicating significant demand for specialized skills. Other notable technologies include Data Analysis at 2,647 and Data Science at 2,166, both of which are critical for understanding and applying AI solutions. This trend is visually represented in the accompanying chart, illustrating the landscape of technology requirements for current and future hiring strategies in the region.

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