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Machine Learning Developer Hiring Trends in Vienna, Austria

This report was last updated on Sep 6, 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 Austria, particularly Vienna, is experiencing a significant imbalance with 23 new positions opened against 41 closures over the past 12 weeks, indicating a challenging recruitment landscape.
  • Vienna stands out as the primary hub for Artificial Intelligence Machine Learning roles, accounting for 84% of all job openings in Austria, followed by Graz and Linz with 12% and 10%, respectively.
  • Current data highlights a preference for full-time positions, with 95% of job openings in Austria being full-time roles, which underscores the stable demand for qualified professionals in the sector.
  • Python, SQL, and Machine Learning are identified as the top technologies essential for attracting talent within the Artificial Intelligence Machine Learning Engineer job market, emphasizing the need for candidates to possess these skills.
  • The median time to hire for Artificial Intelligence Engineers in Austria is currently at 33 days, urging CTOs and hiring managers to develop streamlined recruitment strategies to enhance their hiring efficiency.
Number of roles opened and closed for Machine Learning Engineers in Vienna in the last 3 months

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Austria Vienna has shown fluctuating trends. A total of 23 new positions were opened, with a peak of 8 jobs in week 32. However, the number of job closures has been significant, with 41 positions closed during the same period. This results in a negative net job growth for this role, contrasting with other tech roles in the region, which may offer a more stable hiring landscape. As hiring managers consider recruitment strategies in Austria Vienna's tech sector, understanding these trends is crucial for positioning and meeting the future demand for Artificial Intelligence Machine Learning Engineers.

Who else is hiring for ai Engineers in Austria:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 5
AIT Austrian Institute of Technology logo AIT Austrian Institute of Technology Austria Research 2009 4
adesso Austria GmbH logo adesso Austria GmbH Austria Information Technology & Services 2009 4
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 3
Infineon Technologies logo Infineon Technologies China Semiconductors 1999 3
Helvetia Insurance Austria logo Helvetia Insurance Austria null null null 3
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 3
Boston Consulting Group (BCG) logo Boston Consulting Group (BCG) United States Management Consulting 1963 3
Finmatics logo Finmatics Austria Information Technology & Services 2017 3
21energy logo 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 Machine Learning Engineers in Europe reveals a challenging landscape, particularly in Austria, where the ratio of available talent to job openings indicates a competitive hiring environment. With Austria reporting a specific number of job openings against a limited talent pool, hiring managers may find it more arduous to source qualified candidates for roles in Vienna compared to countries like Germany, the Netherlands, and France, which boast a more favorable jobs-to-talent ratio. In Germany, for instance, the ample number of qualified engineers provides better recruitment prospects, while the Netherlands showcases emerging opportunities that may ease hiring burdens. Ultimately, CTOs and engineering managers in Austria must adapt their recruitment strategies to navigate the tight labor market for Artificial Intelligence Machine Learning Engineers effectively.

Seniority distribution of Machine Learning Engineer job openings in Vienna

Seniority Distribution of Machine Learning Engineering Jobs in Vienna

The seniority distribution for Artificial Intelligence Machine Learning Engineering jobs in Austria, specifically Vienna, reveals a notable demand for talent across different experience levels. Currently, 41% of the positions are categorized as Mid-Senior level, while Entry level roles comprise 29% of the job market. Additionally, Internship opportunities account for 9% of the available positions, indicating a balanced approach to nurturing emerging talent in this rapidly growing sector.

Chart about preferred employment type for Engineering roles in Austria

Preferred employment type for Engineering roles in Austria

In the Austrian software development job market, the employment type distribution reveals a strong preference for full-time positions, with 95% of job openings classified as full-time. Part-time roles constitute 4% of the market, followed by contract positions at 3%. The landscape indicates a stable demand for full-time Artificial Intelligence Machine Learning Engineers, reflecting the ongoing growth in this sector.

Time to Hire Distribution for Artificial Intelligence in Austria

How long does it take to hire Artificial Intelligence Engineers

An analysis of the time to hire distribution for Artificial Intelligence Machine Learning Engineer positions in Austria reveals critical insights for hiring managers. The hiring process demonstrates that the majority of candidates, approximately 61, take around 30 days to fill positions, followed by 39 candidates hiring at the 25-day mark. Notably, there is a significant decline as hiring stretches beyond 35 days, with only 17 candidates requiring 40 days, and diminishing further after that. This trend indicates that tech leads and CTOs in Vienna need to streamline their recruitment strategies to remain competitive in a market increasingly driven by prompt hiring practices.

Expolore reports from other European Developer talent pools

Most popular cities in Austria to hire Artificial Intelligence Engineers

Top 5 cities in Austria to hire Artificial Intelligence Engineers

The job market for Artificial Intelligence Engineers in Austria is predominantly concentrated in Vienna, which accounts for 84% of the total openings. Graz follows with 12% and Linz with 10%, highlighting Vienna's significant role as the epicenter for Artificial Intelligence Machine Learning job opportunities in the region. This distribution underscores the capital's importance in shaping the future demand for Artificial Intelligence Machine Learning Engineers in Austria.

Most sought after technologies in Vienna for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Austria, particularly in Vienna, specific technologies emerge as critical pillars for hiring professionals. Python leads the way with a remarkable usage frequency of 5,248, highlighting its dominance among developers. Following closely are SQL and Machine Learning, with frequencies of 1,995 and 3,149, respectively, indicating their essential roles in data manipulation and algorithm development. Data Science, featured with a frequency of 1,229, underlines the importance of comprehensive data analysis skills in this sector. These insights, represented in the accompanying chart, offer hiring managers a clear understanding of the prevalent technologies essential for attracting top talent.

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