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Machine Learning Developer Hiring Trends in Bosnia and Herzegovina

This report was last updated on May 24, 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 job market in Bosnia and Herzegovina is characterized by a modest increase in job postings, with 150 current openings but notable closures, indicating a volatile landscape for hiring managers.
  • The talent pool for Artificial Intelligence Machine Learning Engineers in Bosnia and Herzegovina stands at 300, creating a jobs-to-talent pool ratio of 2.0, reflecting a moderate level of competition in securing skilled candidates.
  • Sarajevo is the leading city for hiring Artificial Intelligence Engineers, accounting for 89% of the job openings, with a strong preference for full-time roles, which constitute 92% of the market.
  • Top hiring companies in the region include Infobip, Oracle, and ABB, demonstrating significant employer activity in the Artificial Intelligence Machine Learning sector, essential for CTOs and recruiters to note.
  • Hiring timelines reveal that approximately 30% of positions are filled within 30 days, but 25% may take 30 to 40 days, implying the need for strategic recruitment approaches to attract top-tier talent.
Number of roles opened and closed for Machine Learning Engineers in Bosnia and Herzegovina in the last 3 months

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

In the last three weeks, the Artificial Intelligence Machine Learning Engineer job market in Bosnia and Herzegovina has seen a modest increase in new job postings, with 2 jobs listed in week 11, 1 in week 13, and 3 in week 14. However, this slight uptick is overshadowed by a concerning trend of job closures; a total of 3 positions were closed in week 14 alone, compounding a pattern witnessed over the past weeks with substantial closures. When compared to roles in other technology sectors within Bosnia and Herzegovina, the demand for Artificial Intelligence Machine Learning Engineers remains volatile, indicating a unique challenge for hiring managers and recruiters. This situation also reflects broader hiring trends across Europe, where similar roles face consistent shifts in demand due to rapidly evolving technology landscapes.

Who else is hiring for ai Engineers in Bosnia and Herzegovina:

Company name Country Industry Founded # Job openings
Infobip logo Infobip United Kingdom Information Technology & Services 2006 2
Oracle logo Oracle United States Information Technology & Services 1977 2
ABB logo ABB Switzerland Machinery 1988 2
evoila logo evoila Germany Information Technology & Services 2009 1
Rounds logo Rounds Israel Information Technology & Services 2020 1
TheSoul Publishing logo TheSoul Publishing United States Entertainment 2016 1
OPENCHIP & SOFTWARE TECHNOLOGIES logo OPENCHIP & SOFTWARE TECHNOLOGIES Spain Information Technology & Services 2024 1

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Talent pool vs job openings for Artificial Intelligence Engineers in Bosnia and Herzegovina

How competitive it is to hire Artificial Intelligence Engineers in Bosnia and Herzegovina

The talent market for Artificial Intelligence Machine Learning Engineers in Bosnia and Herzegovina presents a challenging landscape for hiring managers. With a job opening count of 150 and a talent pool of 300, the ratio indicates a jobs-to-talent pool figure of 2.0, suggesting a moderate level of competition for skilled candidates. In comparison, countries like Poland and Germany exhibit a more favorable ratio, making it easier for employers to recruit qualified engineers. Meanwhile, Romania shows similar hiring challenges with a ratio of 1.8, reinforcing the notion that securing top-tier talent in the region may require enhanced recruitment strategies and a competitive approach. Overall, high demand coupled with a limited pool suggests that hiring Artificial Intelligence Machine Learning Engineers in Bosnia and Herzegovina is a complex endeavor.

Seniority distribution of Machine Learning Engineer job openings in Bosnia and Herzegovina

Seniority Distribution of Machine Learning Engineering Jobs in Bosnia and Herzegovina

In the emerging Artificial Intelligence Machine Learning job market in Bosnia and Herzegovina, the distribution of seniority levels reveals notable insights for hiring managers. Mid-Senior level positions constitute approximately 56% of the job market, while Entry level roles account for about 33%. Additionally, Associate positions make up around 7% of the available opportunities. This distribution underscores the current talent landscape, highlighting the importance of targeting Mid-Senior level candidates to meet the increasing demand in this sector.

Chart about preferred employment type for Engineering roles in Bosnia and Herzegovina

Preferred employment type for Engineering roles in Bosnia and Herzegovina

In Bosnia and Herzegovina, the employment type distribution for engineering roles is predominantly full-time, accounting for 92% of the job market. Following this, contract positions represent 9% of opportunities, while part-time roles comprise 3%. This distribution highlights a solid preference for full-time engagements, reflecting the stability sought by both employers and employees in the competitive sector of Artificial Intelligence Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Bosnia and Herzegovina

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence and Machine Learning Engineer positions in Bosnia and Herzegovina exhibits notable distribution trends, which are essential for hiring managers to consider. The majority of candidates, approximately 30%, are hired within 30 days, demonstrating a relatively swift recruitment cycle in the region's tech sector. However, a significant 25% of positions require between 30 to 40 days for hiring, indicating that while immediate staffing needs can often be met, extending timelines might be necessary for finding qualified talent. Additionally, as many as 15% of roles take 40 days or more, suggesting there may be challenges in attracting top-tier Machine Learning Engineers. Understanding these dynamics can aid CTOs and engineering managers in refining their recruitment strategies amidst the evolving landscape of Artificial Intelligence job market trends in Bosnia and Herzegovina.

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Most popular cities in Bosnia and Herzegovina to hire Artificial Intelligence Engineers

Top 5 cities in Bosnia and Herzegovina to hire Artificial Intelligence Engineers

The job openings for Artificial Intelligence Engineers in Bosnia and Herzegovina are predominantly concentrated in Sarajevo, which accounts for 89% of the total positions identified in our analysis. Remote opportunities constitute 7%, while the overall job market also includes 7% positions based within the broader region of Bosnia and Herzegovina. The chart accompanying this paragraph illustrates these distribution trends clearly.

Most sought after technologies in Bosnia and Herzegovina for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Bosnia and Herzegovina, several technologies stand out as essential for prospective candidates. Python leads with a significant usage frequency of 13,742, showcasing its vital role in developing machine learning models. Following closely, SQL with 5,896 occurrences facilitates data manipulation and management, critical for AI applications. Machine Learning itself ranks high with 7,875 mentions, emphasizing its importance in job requirements. Other noteworthy technologies include AI at 5,321, and Java at 1,583, both of which are foundational for advanced programming in this domain. For further insights, please refer to the accompanying chart depicting the frequency of these technologies.

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