Agency Partners

Machine Learning Developer Hiring Trends in Vienna, Austria

This report was last updated on Aug 16, 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 in Vienna, is currently competitive, with a total of 81% of job postings concentrated in Vienna.
  • Over the past 12 weeks, the hiring landscape has shown fluctuations, with a peak of seven openings in week 22, but a total of significant turnover indicating challenges in retaining talent amidst rising demand.
  • The talent pool size is moderate compared to the notable number of job openings, suggesting that hiring for this specialized role may be increasingly difficult for CTOs and recruiters.
  • Key technologies in demand include Python, SQL, and Machine Learning, with Python being the most sought-after skill, highlighting the necessity for employers to align their recruitment strategies with these industry trends.
  • The median time to hire for Artificial Intelligence Engineers stands at 33 days, indicating that hiring managers should aim for streamlined processes to secure top-tier talent more efficiently.
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 exhibited notable fluctuations. The peak of new job postings occurred in week 22 with seven openings, while week 24 witnessed a drop to only four. In contrast, closed job positions also varied significantly, with week 22 recording the highest closures at ten jobs. This reflects a challenging recruitment landscape where demand for Artificial Intelligence Machine Learning roles is juxtaposed with substantial turnover, indicating potential difficulties in retaining talent. Comparing this to other tech roles in Austria Vienna, the hiring trends signal that while interest in Artificial Intelligence Machine Learning continues to grow, the competition for qualified engineers remains fierce.

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
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 5
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 5
adesso Austria GmbH logo adesso Austria GmbH Austria Information Technology & Services 2009 4
AIT Austrian Institute of Technology logo AIT Austrian Institute of Technology Austria Research 2009 3
Infineon Technologies logo Infineon Technologies China Semiconductors 1999 3
Helvetia Insurance Austria logo Helvetia Insurance Austria null null null 3
Boston Consulting Group (BCG) logo Boston Consulting Group (BCG) United States Management Consulting 1963 3
Accenture DACH logo Accenture DACH Germany It Services null 3
eurofunk Kappacher GmbH logo eurofunk Kappacher GmbH Austria Information Technology & Services 1969 2

Here are a few specialized ai agencies you can trust:

Logo of recommended agencyLogo of recommended agencyLogo of recommended agency
Want to get personalized matches? Get started
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 in Vienna, reflects a competitive landscape characterized by a significant disparity between the number of job openings and the available talent pool. With a notable count of job opportunities in Austria juxtaposed against a moderate size of the talent pool, the jobs-to-talent ratio suggests challenges in hiring for this specialized role. Comparatively, countries like Germany and the Netherlands exhibit higher talent pools relative to job openings, indicating a potentially easier hiring environment. Meanwhile, nations such as Poland show a growing trend in available talent but still lag in job opportunities, emphasizing the varying dynamics across Europe. Consequently, hiring managers in Austria may find it increasingly difficult to secure qualified Artificial Intelligence Machine Learning Engineers, necessitating targeted recruitment strategies to attract top talent.

Seniority distribution of Machine Learning Engineer job openings in Vienna

Seniority Distribution of Machine Learning Engineering Jobs in Vienna

In the burgeoning Artificial Intelligence and Machine Learning job market in Austria Vienna, the seniority distribution reveals notable trends. Currently, 50% of available positions fall within the Mid-Senior level category, followed closely by Entry level roles at 48%. Additionally, Internship opportunities comprise about 15% of the job market, highlighting the presence of diverse entry points for aspiring professionals in this sector.

Chart about preferred employment type for Engineering roles in Austria

Preferred employment type for Engineering roles in Austria

In Austria, the employment type distribution for engineering roles reveals a strong preference for full-time positions, accounting for 95% of the jobs available. Part-time roles represent 5% of the workforce, while contract roles make up 4% of the total. This trend indicates a robust demand for stability among professionals in the technology sector, highlighting the importance of full-time employment in attracting top-tier talent.

Time to Hire Distribution for Artificial Intelligence in Austria

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Austria reveals critical insights for hiring managers in Vienna's competitive tech landscape. Notably, the majority of hires occur within the 30 to 35-day range, with 85 candidates hired at 30 days and 40 at 35 days. This indicates a prevalent trend towards a hiring process that averages around one month, essential for CTOs and Engineering Managers devising recruitment strategies. However, the substantial count of 45 candidates taking 25 days suggests opportunities for streamlined recruitment efforts to attract top talent sooner. Understanding these trends is vital for optimizing hiring timelines and meeting the future demand for skilled Artificial Intelligence Machine Learning Engineers in Austria.

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 location distribution for Artificial Intelligence Machine Learning Engineers job openings in Austria reveals a significant concentration in Vienna, which accounts for 81% of the total postings. Graz follows with 12%, while Linz represents 10% of the available opportunities. This data underscores Vienna's dominant position in the Artificial Intelligence Machine Learning job market in Austria, as illustrated in the accompanying chart.

Most sought after technologies in Vienna for Machine Learning

Key technologies for Machine Learning Engineers

The recruitment landscape for Artificial Intelligence Machine Learning Engineers in Austria, particularly in Vienna, showcases a significant reliance on specific technologies. According to the data, Python stands out prominently with a frequency of 6,500, reflecting its essential role in AI and ML development. Other noteworthy technologies include SQL, utilized with a frequency of 2,543, and Machine Learning itself, which has a frequency of 3,788. Additionally, Data Science and Deep Learning are critical components, with frequencies of 1,439 and 554 respectively. The accompanying chart provides a detailed overview of these technologies' usage within the job market, offering valuable insights for hiring managers aiming to align their recruitment strategies with industry demands.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.