Machine Learning Developer Hiring Trends in Austria

This report was last updated on Sep 6, 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 has experienced notable fluctuations in job openings, with a peak of 11 postings in week 24 and a significant drop to just 1 in week 26, reflecting a competitive landscape for hiring managers.
Key technologies driving demand include Python, with 5,248 mentions, illustrating its dominance in AI applications, followed by Machine Learning with 3,149 mentions, underscoring the critical focus in this area within the Austrian job market.
The majority of job openings are concentrated in Vienna, which holds 84% of the market with 1,023 positions, followed by Graz and Linz, indicating a strong urban preference for Artificial Intelligence Engineers.
Hiring for Artificial Intelligence Engineers in Austria demonstrates a competitive environment; the ratio of job openings closely aligns with the available talent pool, suggesting that effective recruitment strategies are essential for CTOs in navigating this market.
The median time to hire for Artificial Intelligence Machine Learning Engineers is 33 days, with a swift recruitment process for 61 candidates hired within 30 days, highlighting the urgency and efficiency needed in securing top talent.

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

The job market for Artificial Intelligence Machine Learning Engineers in Austria has shown significant fluctuations over the past 12 weeks. In week 24, there were 11 job postings, which gradually declined to just 1 opening in week 26 before bouncing back to 10 in week 32. However, the closing rate has been consistently high, with a peak of 15 jobs closed in week 32, indicating a challenging environment for hiring managers. Comparing this to other technology roles in Austria, it highlights an emerging trend where demand continues to outpace supply, showcasing the critical need for effective recruitment strategies by CTOs and hiring managers in Austria's tech sector.

Who else is hiring for ai Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	5
AIT Austrian Institute of Technology	Austria	Research	2009	4
adesso Austria GmbH	Austria	Information Technology & Services	2009	4
TieTalent	Switzerland	Information Technology & Services	2017	3
Infineon Technologies	China	Semiconductors	1999	3
Helvetia Insurance Austria	null	null	null	3
Axelera AI	Netherlands	Semiconductors	2021	3
Boston Consulting Group (BCG)	United States	Management Consulting	1963	3
Finmatics	Austria	Information Technology & Services	2017	3
21energy	Austria	Renewables & Environment	2022	2

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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 talent market for Artificial Intelligence and Machine Learning Engineers in Europe exhibits considerable variation across countries, with Austria, Germany, and the Netherlands showing distinct trends. Austria currently has a count of job openings that closely aligns with its available talent pool, suggesting a slightly competitive environment. In comparison, Germany's significant number of job openings results in a more challenging landscape for hiring due to a larger talent pool but less favorable ratio of available candidates. Conversely, the Netherlands, with a burgeoning tech scene, presents a favorable hiring environment, indicating a robust supply of talent against job demand. Overall, while Austria offers opportunities for recruitment, the balance between job openings and available talent suggests that hiring Artificial Intelligence and Machine Learning Engineers may require strategic recruitment efforts.

Seniority distribution of Machine Learning Engineer job openings in Austria

Seniority Distribution of Machine Learning Engineering Jobs in Austria

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Austria reveals a competitive landscape for talent acquisition. Notably, 38% of positions are classified as Entry level, while 31% are designated as Mid-Senior level. Additionally, Internship opportunities comprise 9% of the total roles, indicating a robust entry pathway for new talent in the domain.

Preferred employment type for Engineering roles in Austria

The employment type distribution for engineering roles in Austria reveals a significant preference for full-time positions, which comprise 95% of the market. Part-time roles account for 4%, while contract positions represent 3% of available opportunities. This data underscores the dominant trend towards full-time employment in the Artificial Intelligence Machine Learning job market in Austria.

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 Engineers in Austria reveals significant insights for hiring managers. The majority of candidates, 61 in total, are secured within a 30-day window, indicating a competitive landscape with swift recruitment processes. Additionally, 39 candidates are hired within 25 days, suggesting a readiness in the current job market for quick placements. As hiring demands increase, understanding these trends can aid CTOs and engineering managers in refining their recruitment strategies. Overall, a robust 29 candidates are filling positions at the 10-day mark, emphasizing the crucial need for efficiency in attracting top talent in the emerging field of Artificial Intelligence and Machine Learning.

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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 Austria, the distribution of job openings for Artificial Intelligence Engineers is heavily concentrated in the capital, Vienna, which accounts for 84% of the opportunities with 1,023 positions. Graz follows at a distant second with 13% of the job market, offering 159 openings, while Linz represents 11% with 127 available positions. This concentration indicates a strong urban preference for AI and Machine Learning talent, as illustrated further in the accompanying chart.

Most sought after technologies in Austria for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Austria, certain technologies dominate the hiring landscape. Python leads with a remarkable frequency of 5,248, illustrating its essential role in AI and machine learning applications. Following closely, Machine Learning itself has a strong presence with 3,149 mentions, underscoring the focus on this domain. SQL, with 1,995 mentions, remains critical for data handling, while Data Science and R are also key, with frequencies of 1,229 and 716, respectively. These insights, depicted in the accompanying chart, highlight the trends in hiring for Artificial Intelligence Machine Learning Developers in Austria and across Europe.

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