Machine Learning Developer Hiring Trends in Switzerland

This report was last updated on Jun 29, 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 Switzerland is experiencing a tightening talent pool, with a current talent availability impacting hiring strategies for CTOs and Engineering Managers.
Over the last three months, the number of job openings has exhibited significant fluctuations, peaking at 79 in week 15, but declining sharply to only 1 in week 25, highlighting the urgent need for proactive recruitment strategies.
Top hiring companies in Switzerland include Gaea21, TieTalent, and Daedalean AI, reflecting a diverse set of industries actively seeking Artificial Intelligence Machine Learning Engineers.
Zurich stands out as the primary hub for Artificial Intelligence Engineer opportunities, accounting for 63% of the job market, followed by Bern and Basel, making these cities strategic locations for targeted hiring efforts.
The median time to hire for Artificial Intelligence Engineers in Switzerland is currently 32 days, indicative of a competitive recruitment landscape that necessitates agile and efficient hiring practices.

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

Over the past 12 weeks, Switzerland has witnessed fluctuating trends in the employment landscape for Artificial Intelligence Machine Learning Engineers. Notably, while there was a peak of 79 new jobs posted in week 15, the total number of new postings has declined significantly in subsequent weeks, with just 1 new position listed in week 25. This trend contrasts starkly with the weekly closures, which averaged 58 jobs closed each week, indicating a troubling imbalance in the job market. Such developments highlight a potential challenge for hiring managers, as they face an increased demand for Artificial Intelligence Machine Learning Developers amidst a narrowing talent pipeline, emphasizing the need for strategic recruitment initiatives to attract top talent in this competitive sector.

Who else is hiring for ai Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	9
Gaea21	Switzerland	Environmental Services	2005	8
TieTalent	Switzerland	Information Technology & Services	2017	7
WorldQuant	United States	Financial Services	2007	6
EY	United Kingdom	Professional Training & Coaching	1989	5
Daedalean AI	Switzerland	Aviation & Aerospace	2016	5
adesso Schweiz AG	Switzerland	Information Technology & Services	2007	5
NVIDIA	United States	Computer Hardware	1993	4
Boston Consulting Group (BCG)	United States	Management Consulting	1963	4
Zalando	Germany	Retail	2008	4

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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 talent market for Artificial Intelligence Machine Learning Engineers in Switzerland showcases significant variability, affecting hiring dynamics across countries. Switzerland presents a considerable challenge for hiring managers, with a jobs-to-talent ratio that indicates a tight labor market. In comparison, countries such as Germany and the Netherlands exhibit a larger available talent pool relative to job openings, easing the recruitment process for CTOs and Engineering Managers. Meanwhile, nations like France are also grappling with similar constraints as Switzerland, highlighting the competitive landscape in attracting skilled professionals. This scenario emphasizes the need for strategic recruitment approaches to secure top talent in the increasingly competitive European technology sector.

Seniority distribution of Machine Learning Engineer job openings in Switzerland

Seniority Distribution of Machine Learning Engineering Jobs in Switzerland

In the Swiss job market for Artificial Intelligence Machine Learning Engineers, the distribution of seniority levels reveals critical insights for hiring managers. Currently, 42% of positions are categorized as Mid-Senior level, followed closely by Entry level roles at 34%. Meanwhile, Internship opportunities account for 21%, highlighting a competitive landscape for both experienced professionals and newcomers in the field.

Preferred employment type for Engineering roles in Switzerland

In the Swiss job market for engineering roles, the distribution of employment types reveals significant trends. Full-time positions dominate, comprising 93% of the job market with 23,546 listings. Part-time roles account for 7% with 1,745 opportunities, while contract positions represent 6% with 1,485 available jobs. This landscape indicates a strong preference for stable, full-time employment in the engineering sector, a critical insight for hiring managers looking to attract Artificial Intelligence Machine Learning Engineers in Switzerland.

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 Machine Learning Engineer positions in Switzerland reveals significant insights for hiring managers. Notably, the most pronounced duration observed is between 30 to 35 days, with a total of 597 instances, indicating that candidates are often sourced and engaged within this timeframe. Additionally, a smaller but notable count of hires occurs around the 20 to 25 day range, totaling 359 positions, highlighting a competitive recruitment landscape. Meanwhile, hiring extending beyond 60 days remains less frequent, emphasizing the urgency and challenges within the Artificial Intelligence Machine Learning job market in Switzerland. Understanding these timeframes can support CTOs and engineering managers in refining their recruitment strategies to attract top talent effectively.

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Most popular cities in Switzerland to hire Artificial Intelligence Engineers

Top 5 cities in Switzerland to hire Artificial Intelligence Engineers

In Switzerland, the job market for Artificial Intelligence Machine Learning Engineers is predominantly centered in Zurich, which accounts for 63% of the total job openings. The capital city, Bern, follows with 16%, while Basel contributes 13% to the overall distribution. Visual insights can be gleaned from the accompanying chart, which illustrates these key data points in detail.

Most sought after technologies in Switzerland for Machine Learning

Key technologies for Machine Learning Engineers

The Artificial Intelligence and Machine Learning job market in Switzerland showcases a diverse array of technologies that hiring managers should be aware of. Dominating the landscape is Python, with a frequency of 10,592 occurrences, making it essential for any Artificial Intelligence Machine Learning Engineer role. Close behind are SQL and Machine Learning, with frequencies of 4,334 and 5,955 respectively, highlighting their integral role in data management and predictive analytics. Other significant technologies include Data Science at 2,166 and Data Analysis at 2,647, indicating a strong demand for expertise in data processing and interpretation. A detailed chart accompanying this analysis illustrates these technologies' frequencies, offering further insights into hiring priorities.

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