Machine Learning Developer Hiring Trends in Basel, Switzerland

This report was last updated on Aug 10, 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, specifically in Basel, is currently experiencing significant volatility, with a net job loss resulting from 14 positions being closed in the past 12 weeks.
Python, SQL, and Machine Learning are leading technologies in the hiring landscape, reflecting their essential role in successful Artificial Intelligence Machine Learning Engineer recruitment.
A considerable 42% of job openings for Machine Learning Engineers in Basel are at the Mid-Senior level, necessitating targeted recruitment strategies for hiring managers looking to attract top talent.
Zurich, Bern, and Basel are the top three cities for hiring Artificial Intelligence Engineers in Switzerland, emphasizing the need for hiring managers to focus efforts in these strategic locations.
The competitive hiring landscape in Switzerland indicates a larger number of job openings than available talent, posing challenges for effective recruitment in the Artificial Intelligence Machine Learning sector.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning job market in Switzerland Basel has exhibited notable fluctuations. Only 1 new job was posted in week 30, while weeks 23 and 31 saw higher activity with 3 postings each, indicating potential market volatility. Over the same period, however, there were significant job closures, with a cumulative total of 14 positions closed, resulting in a net job loss that highlights recruitment challenges for CTOs and hiring managers in this sector. When compared to other roles in Switzerland and similar positions in Europe, the demand for Artificial Intelligence Machine Learning Engineers appears to be on a downward trend, necessitating strategic recruitment approaches to attract talent and counterbalance the closures.

Who else is hiring for ai Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
Microsoft	United States	Information Technology & Services	1975	38
Axelera AI	Netherlands	Semiconductors	2021	9
Gaea21	Switzerland	Environmental Services	2005	8
WorldQuant	United States	Financial Services	2007	6
Daedalean AI	Switzerland	Aviation & Aerospace	2016	5
Luxoft	Switzerland	Information Technology & Services	2000	5
adesso Schweiz AG	Switzerland	Information Technology & Services	2007	5
NVIDIA	United States	Computer Hardware	1993	4
BCG Platinion	Germany	Management Consulting	2000	4
EY	United Kingdom	Professional Training & Coaching	1989	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 job market for Artificial Intelligence Machine Learning Engineers in Europe reflects a competitive landscape with varying ratios of job openings to the available talent pool. In Switzerland, the number of job openings significantly exceeds the size of the talent pool, indicating a challenging hiring environment for positions in Basel. In contrast, countries like Germany, France, and the Netherlands show a more balanced ratio, suggesting that hiring may be relatively easier in these regions. As hiring managers and recruiters strategize to fill roles in Switzerland Basel, understanding these dynamics will be crucial to developing effective recruitment strategies tailored to the local and broader European landscape.

Seniority distribution of Machine Learning Engineer job openings in Basel

Seniority Distribution of Machine Learning Engineering Jobs in Basel

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Switzerland, particularly in Basel, the seniority distribution reveals a substantial concentration of Mid-Senior level positions, accounting for 42% of the total job openings. Following this, Internship roles make up 27%, while Entry level positions represent 17%. This distribution highlights the competitive nature of the market, necessitating recruitment strategies that target these key seniority levels to attract top talent.

Preferred employment type for Engineering roles in Switzerland

The employment landscape for engineering roles in Switzerland reveals a strong preference for full-time positions, accounting for 92% of job opportunities. Part-time roles comprise 7% of the market, while contract positions follow with 1%. This distribution indicates a robust demand for commitment in the workforce, which is essential for attracting top talent in the Artificial Intelligence Machine Learning sector.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Switzerland shows a diverse distribution, with the majority of candidates (286) secured within a 30-day timeframe. Significant numbers also fall into the 10-day (163) and 15-day (149) categories, suggesting that swift recruitment can often yield favorable results. However, there is a notable drop in hires past the 35-day mark, reflecting potential challenges in sourcing candidates. Hiring managers and CTOs in Switzerland must consider these trends in their recruitment strategies to effectively align with market demands and streamline their hiring processes.

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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 distribution of Artificial Intelligence Engineer job openings reveals significant concentration in key cities. Zurich leads the market with 61% of the total job listings, followed by Bern at 15% and Basel, which accounts for 12% of the available positions. Notably, as the capital city, Bern plays a crucial role in the tech ecosystem, making it a strategic location for hiring managers seeking top talent in the field.

Most sought after technologies in Basel 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 Basel, certain technologies stand out due to their high frequency of use. Python leads the pack with 7,675 instances, reflecting its dominant role in developing AI and machine learning applications. Close behind are SQL and Machine Learning, with 3,076 and 4,406 occurrences, respectively, indicating their foundational importance in data manipulation and predictive modeling. Additionally, AI itself has recorded 2,709 mentions, underscoring its significance in the industry. For hiring managers seeking to attract top talent, familiarity with these technologies, as illustrated in the accompanying chart, will be crucial.

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