Machine Learning Developer Hiring Trends in Austria

This report was last updated on Aug 16, 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 is currently characterized by notable fluctuations in the number of job openings, with a peak of 11 new positions recorded in week 22, but only 1 job posted in week 26, contributing to a challenging landscape for hiring managers.
The demand for key technologies, including Python and SQL, remains strong, with Python appearing in 6,500 postings and Machine Learning cited 3,788 times, indicating essential skills for prospective candidates and highlighting the importance of targeted recruitment strategies.
The seniority distribution reveals that 44% of roles are entry-level, 31% are mid-senior, and 14% are internships, emphasizing the need for employers to cater to a wide range of skill levels in the thriving Machine Learning opportunities across Austria.
Vienna emerges as the primary city for Artificial Intelligence Machine Learning job openings, accounting for 78% of available roles, followed by Graz and Linz, reinforcing the regional concentration of talent acquisition efforts in Austria's capital.
With the median time to hire being 33 days and full-time positions dominating 95% of the job market, tech leads and CTOs must quickly adapt their recruitment strategies to overcome the competitive landscape and attract qualified Artificial Intelligence Machine Learning Engineers effectively.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Austria has shown considerable fluctuations. Job openings peaked significantly in week 22 with 11 new positions posted, but have experienced variance with only 1 job posted in week 26. On a broader scale, the week-on-week job closure rate indicates a troubling trend for hiring managers, as 11 positions closed in the same week that saw the peak in openings, leading to a net decrease in opportunities. This declining trend in closed jobs signifies a potential challenge for recruiters and CTOs, suggesting a competitive hiring landscape. Compared to other tech roles in Austria, the volatility in the Machine Learning sector underscores the necessity for targeted recruitment strategies, particularly as demand rises across Europe's technology landscape.

Who else is hiring for ai Engineers in Austria:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	5
TieTalent	Switzerland	Information Technology & Services	2017	5
Axelera AI	Netherlands	Semiconductors	2021	5
adesso Austria GmbH	Austria	Information Technology & Services	2009	4
AIT Austrian Institute of Technology	Austria	Research	2009	3
Infineon Technologies	China	Semiconductors	1999	3
Helvetia Insurance Austria	null	null	null	3
Boston Consulting Group (BCG)	United States	Management Consulting	1963	3
Accenture DACH	Germany	It Services	null	3
eurofunk Kappacher GmbH	Austria	Information Technology & Services	1969	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 Machine Learning Engineers in Europe exhibits notable disparities among countries. In Austria, the ratio of available talent to job openings suggests a competitive environment, as indicated by the jobs to talent pool metric. Comparatively, countries like Germany and the Netherlands showcase a more favorable talent availability, whereas nations such as Poland present a similar challenge to Austria. The current demand for Artificial Intelligence Machine Learning Developers in Austria is high, resulting in a potentially challenging hiring landscape for CTOs and engineering managers.

Seniority distribution of Machine Learning Engineer job openings in Austria

Seniority Distribution of Machine Learning Engineering Jobs in Austria

In the Austrian job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals significant insights for hiring managers. Notably, 44% of the positions are targeted at Entry level candidates, followed by 31% at the Mid-Senior level, and 14% offering Internship opportunities. This distribution underscores the importance of appealing to a diverse range of skill levels, particularly as demand for Artificial Intelligence Machine Learning Developer opportunities in Austria continues to rise.

Preferred employment type for Engineering roles in Austria

In Austria, the employment type distribution for engineering roles indicates a strong preference for Full-time positions, which constitute 95% of the job market. Part-time roles represent a minor 4%, while Contract positions account for approximately 4% as well. This landscape highlights the predominance of Full-time employment in the Artificial Intelligence and Machine Learning sectors, offering valuable insights for hiring managers and CTOs looking to align recruitment strategies with market demands.

Time to Hire Distribution for Artificial Intelligence in Austria

How long does it take to hire Artificial Intelligence Engineers

The analysis of the time to hire distribution for Artificial Intelligence Machine Learning roles in Austria reveals notable trends. The majority of positions, totaling 85 counts, fall within a 30-day hiring window, indicating a competitive recruitment landscape. A significant number of roles also take approximately 25 days (45 counts) to fill, while positions requiring 15 days (39 counts) reflect the urgency in talent acquisition. Conversely, hiring timelines extending beyond 60 days, such as those at 70 days (8 counts) and 80 days (10 counts), are less common, suggesting challenges in sourcing talent for these specialized roles. Hiring managers and CTOs should consider these timelines when developing recruitment strategies to attract qualified candidates in the booming Artificial Intelligence Machine Learning job market in Austria.

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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 Machine Learning Engineers reveals a significant concentration in major cities. Vienna leads the market with 78% of the total openings, followed by Graz at 12% and Linz at 10%. This data underscores Vienna's pivotal role as the epicenter for Artificial Intelligence Machine Learning job opportunities in Austria.

Most sought after technologies in Austria for Machine Learning

Key technologies for Machine Learning Engineers

The analysis of the Artificial Intelligence Machine Learning job market in Austria highlights a significant prevalence of key technologies essential for candidates in this field. Python emerges as the foremost programming language, utilized in 6,500 instances, followed closely by SQL, which appears 2,543 times. Machine Learning, a critical competency, is noted 3,788 times, indicating its high demand among employers. Data Science and Data Analysis also feature prominently, with frequencies of 1,439 and 1,303, respectively, showcasing the importance of analytical skills. Furthermore, cloud technologies such as AWS are increasingly sought after with 803 mentions, reflecting the shift towards cloud-based solutions in AI and ML applications. For a visual representation of these technologies and their usage frequencies, please refer to the accompanying chart.

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