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Machine Learning Developer Hiring Trends in Zurich, Switzerland

This report was last updated on Sep 7, 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 Artificial Intelligence Machine Learning Engineers job market in Switzerland, particularly in Zurich, exhibits a dynamic landscape with over 120 job openings reported in the last three months, highlighting a robust demand amidst a small talent pool of around 2,230 qualified professionals.
  • Top companies actively hiring for these roles include Gaea21, TieTalent, and adesso Schweiz AG, indicating a competitive recruitment environment where hiring managers must employ strategic recruitment tactics to attract the best candidates.
  • With mid-senior level positions constituting 63% of job openings, there is a clear trend towards hiring experienced professionals, thereby suggesting the need for tailored recruitment strategies to fill these roles effectively.
  • Zurich emerges as the leading city for Artificial Intelligence Machine Learning Engineer job opportunities in Switzerland, accounting for 57% of the market, which underscores its significance as a tech hub in Europe.
  • The median time to hire for these critical roles is approximately 31 days, emphasizing the urgency and competitiveness in filling positions within this rapidly growing field.
Number of roles opened and closed for Machine Learning Engineers in Zurich in the last 3 months

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

In the past 12 weeks, job postings for Artificial Intelligence Machine Learning Engineer roles in Switzerland Zurich have shown a noteworthy increase, particularly in weeks 31 to 32, where new job openings peaked at 11. However, this surge coincided with a high rate of job closures, most notably 11 closures in week 30. Overall, while the demand for Artificial Intelligence Machine Learning Developers remains robust, the ratio of jobs opened to closed indicates a competitive landscape. Comparing this trend to other roles in Switzerland or to similar positions across Europe reveals that recruitment for AI talent is intensifying, signaling to CTOs and hiring managers the necessity for proactive recruitment strategies in order to attract top talent amid rising demand.

Who else is hiring for ai Engineers in Switzerland:

Company name Country Industry Founded # Job openings
Gaea21 logo Gaea21 Switzerland Environmental Services 2005 8
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 7
adesso Schweiz AG logo adesso Schweiz AG Switzerland Information Technology & Services 2007 7
WorldQuant logo WorldQuant United States Financial Services 2007 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6
BCG Platinion logo BCG Platinion Germany Management Consulting 2000 4
NVIDIA logo NVIDIA United States Computer Hardware 1993 4
Boston Consulting Group (BCG) logo Boston Consulting Group (BCG) United States Management Consulting 1963 4
Laine logo Laine Switzerland Internet null 4
Rocken® logo Rocken® Switzerland Online Media 2020 3

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Talent pool vs job openings for Artificial Intelligence Engineers in Switzerland

How competitive it is to hire Artificial Intelligence Engineers in Switzerland

The job market for Artificial Intelligence Machine Learning Engineers in Europe is characterized by significant disparities across countries. In Switzerland, with a considerable number of job openings relative to its smaller talent pool, the difficulty of hiring such specialized talent is pronounced, reflected in a higher jobs-to-talent pool ratio. In contrast, countries like Germany, France, and the Netherlands present a more favorable landscape for recruitment, showcasing a larger available talent pool relative to job openings. This suggests that while demand is rising for roles in Artificial Intelligence and Machine Learning, Switzerland may present challenges for CTOs and hiring managers looking to secure top talent in Zurich, necessitating strategic recruitment approaches tailored to the local market conditions.

Seniority distribution of Machine Learning Engineer job openings in Zurich

Seniority Distribution of Machine Learning Engineering Jobs in Zurich

In the Artificial Intelligence Machine Learning job market of Switzerland, particularly in Zurich, the distribution of roles reveals significant insights for hiring managers. Mid-Senior level positions account for 63% of the job openings, establishing a strong demand for experienced professionals. Entry-level roles follow, making up 19% of the market, while Associate positions constitute 11%. This data underscores the need for targeted recruitment strategies tailored to attract talent across these seniority levels, particularly for CTOs and Engineering Managers.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

In the Swiss engineering job market, full-time positions dominate with a substantial share of 92%. This is followed by part-time roles, comprising 7% of the employment type distribution, while contract positions account for 1% of the total. Understanding these employment trends is crucial for hiring managers looking to navigate the landscape of Artificial Intelligence Machine Learning Engineers job market trends in Switzerland, particularly in Zurich.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence jobs in Switzerland demonstrates a notable trend that hiring managers should consider. The majority of candidates, accounting for 170 positions, are engaged within a 30-day timeframe, indicating a competitive yet accessible talent pool. Meanwhile, the hiring process tends to elongate, with 91 roles taking up to 15 days and 39 extending to 20 days. Notably, there are fewer candidates available beyond the 40-day mark, as only 44 positions exceed this duration. Understanding this time to hire distribution can inform recruitment strategies for CTOs in Switzerland Zurich's tech sector aiming to secure top-tier Artificial Intelligence Machine Learning Engineers efficiently.

Expolore reports from other European Developer talent pools

Most popular cities in Switzerland to hire Artificial Intelligence Engineers

Top 5 cities in Switzerland to hire Artificial Intelligence Engineers

In Switzerland, the distribution of job openings for Artificial Intelligence Machine Learning Engineers reveals that Zurich dominates the market with 57% of all relevant positions, significantly outpacing the capital Bern, which accounts for 14%. Basel follows with 11% of the job opportunities. This data underscores the robust demand for AI talent in Zurich, making it a critical hub for hiring in this sector. Refer to the accompanying chart for a visual representation of these figures.

Most sought after technologies in Zurich for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving Artificial Intelligence and Machine Learning job market, particularly in Switzerland and Zurich, certain technologies have emerged as cornerstone competencies for professionals in this field. Data from recent industry analysis reveals that Python is the most prevalent technology, being utilized in 5,248 instances, underscoring its dominance in the sector. Following Python, SQL ranks significantly with 1,995 occurrences, emphasizing the need for robust data management skills. In addition, Machine Learning frameworks are prominent, reflecting a frequency of 3,149, indicating a high demand for professionals adept in these methodologies. Other notable technologies include AI, with 1,615 mentions, and Data Science at 1,229, highlighting the comprehensive skill set required for today's machine learning engineers. For a detailed breakdown of these technologies, please refer to the accompanying chart.

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