Machine Learning Developer Hiring Trends in Geneva, Switzerland

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 job market for Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in Geneva, has displayed a net decline in available roles with only 6 new positions posted in the last 12 weeks, versus 11 positions closed.
The technology stack for Machine Learning Engineers in this region is led by Python, SQL, and Machine Learning, emphasizing the need for hiring managers to focus on these essential skills when sourcing candidates.
Senior-level positions dominate the job market, with 50% categorized as Mid-Senior, indicating a strong demand for experienced professionals in the Artificial Intelligence Machine Learning sector in Switzerland.
Zurich, Bern, and Basel are the top cities for Artificial Intelligence Engineer job openings, highlighting the geographical concentration of opportunities, with Zurich leading at 55% of total openings.
With a median time to hire of 33 days, the competitive landscape mandates that hiring managers develop strategic recruitment efforts to effectively attract top-tier talent in the Artificial Intelligence Machine Learning domain.

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

In the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in Geneva, has shown a fluctuating trend. Over this period, there were only 6 new positions posted, peaking in week 31 with 3 openings. In contrast, the closure of jobs has been more pronounced, with a total of 11 positions closed, indicating a net decline in available roles. When compared to other roles in Switzerland, the demand for Artificial Intelligence Machine Learning Engineers appears to be modest, revealing potential recruitment challenges. This trend aligns with similar patterns observed in other European markets, where hiring for these specialists remains competitive, necessitating strategic recruitment efforts from CTOs and hiring managers.

Who else is hiring for ai Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
Microsoft	United States	Information Technology & Services	1975	37
Axelera AI	Netherlands	Semiconductors	2021	9
TieTalent	Switzerland	Information Technology & Services	2017	8
Gaea21	Switzerland	Environmental Services	2005	8
Rocken®	Switzerland	Online Media	2020	6
WorldQuant	United States	Financial Services	2007	6
NVIDIA	United States	Computer Hardware	1993	5
adesso Schweiz AG	Switzerland	Information Technology & Services	2007	5
EY	United Kingdom	Professional Training & Coaching	1989	4
Boston Consulting Group (BCG)	United States	Management Consulting	1963	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 current landscape for Artificial Intelligence Machine Learning Engineers across Europe shows significant variation in job openings and talent availability. Switzerland presents a challenging hiring environment, with a job-to-talent pool ratio indicating difficulty in hiring for these roles. For instance, while Switzerland has a moderate number of job openings, countries like Germany and the Netherlands exhibit a more favorable hiring climate due to a larger available talent pool relative to job vacancies. In contrast, the UK showcases a competitive yet extensive market, presenting both opportunities and challenges for recruitment. Hiring managers in Switzerland must therefore adopt innovative recruitment strategies to attract and retain essential AI talent.

Seniority distribution of Machine Learning Engineer job openings in Geneva

Seniority Distribution of Machine Learning Engineering Jobs in Geneva

In the current job market for Artificial Intelligence Machine Learning Engineers in Switzerland Geneva, the seniority distribution reveals significant insights. Notably, 50% of positions are categorized at the Mid-Senior level, while 17% are for Associates and 15% are internships. This distribution highlights the demand for experienced professionals in a landscape increasingly focused on advanced technological solutions.

Preferred employment type for Engineering roles in Switzerland

In the Swiss software development job market, full-time positions dominate, comprising 92% of engineering roles. Part-time employment accounts for 8%, while contract roles represent a mere 6%. Understanding these employment type distributions is crucial for hiring managers seeking to navigate the competitive landscape for Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in cities like Geneva.

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 positions in Switzerland indicates a competitive landscape for employers seeking Machine Learning Engineers. Notably, the highest frequency falls within the 30-day timeframe, accounting for 247 hires, suggesting that swift recruitment can be essential for attracting top talent. Additionally, a significant number of positions are filled within the 10 to 25 days range, highlighting a potential opportunity for hiring managers to optimize their recruitment strategies. However, over 100 roles took more than 50 days to fill, underlining the challenges faced in securing qualified Artificial Intelligence Machine Learning talent in this vibrant market.

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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 top cities for Artificial Intelligence Engineers job openings showcase significant location distribution, with Zurich leading at 55% of the total opportunities. Following Zurich, Bern accounts for 13% of the market, while Basel constitutes 11%. Notably, the capital city, Bern, remains a key player in the job landscape, highlighting the concentration of demand for Artificial Intelligence Machine Learning Engineers across these metropolitan areas.

Most sought after technologies in Geneva for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Switzerland, particularly in Geneva, several technologies stand out based on their frequency of usage. Python leads significantly with a frequency of 6,500, showcasing its dominance in this sector. Following closely are SQL and Machine Learning, with frequencies of 2,543 and 3,788 respectively, indicating strong reliance on data manipulation and predictive modeling. Other notable technologies include Data Science (1,439) and AI (2,217), both critical for developing innovative solutions. For hiring managers, understanding these trends is essential when seeking talented individuals adept in these technologies, as illustrated in the accompanying chart.

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