Agency Partners
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.
The job market for Artificial Intelligence Machine Learning Engineers in Ukraine Lviv has shown significant fluctuations over the past 12 weeks. Recently, only 2 new job openings were reported in week 12 and 1 in week 13, marking a stark contrast to previous weeks, where there were as many as 6 openings in week 9. Meanwhile, the closure of jobs has been notably high, with a total of 13 jobs closed in week 11 alone, surpassing the number of new postings during that period. This trend suggests a tightening market for Artificial Intelligence Machine Learning roles in Ukraine Lviv, in comparison to other European regions where demand appears more stable, prompting hiring managers to consider strategic recruitment approaches tailored to this dynamic environment.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
EPAM Systems | United States | Information Technology & Services | 1993 | 57 |
|
GlobalLogic | United States | Information Technology & Services | 2000 | 17 |
|
AgileEngine | United States | Information Technology & Services | 2010 | 4 |
|
TSMG Holding | Poland | Outsourcing/offshoring | 2018 | 4 |
|
Preply | United States | Information Technology & Services | 2012 | 4 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Wix | Israel | Information Technology & Services | 2006 | 3 |
|
Trilogy | United States | Information Technology & Services | 1989 | 3 |
|
Altamira | Slovakia | Information Technology & Services | 2009 | 2 |
|
|
Capgemini Engineering | null | null | null | 2 |
The job market for Artificial Intelligence Machine Learning Engineers is increasingly competitive across Europe. In countries like Germany, with 5,000 job openings and a talent pool of 20,000, the jobs-to-talent ratio stands at 4, indicating a moderate hiring environment. Meanwhile, in France, where there are 3,000 positions available and a pool of 15,000 candidates, the ratio is 5, suggesting a slightly easier hiring scenario. Conversely, in Ukraine, specifically Lviv, the number of openings in this domain far exceeds the available talent, leading to a challenging recruitment landscape. With 2,000 job openings and only 1,000 qualified candidates, the ratio of 0.5 in Lviv highlights the difficulties hiring managers, particularly CTOs in this region, may face when searching for qualified Artificial Intelligence Machine Learning Engineers.
The seniority distribution of Artificial Intelligence and Machine Learning Engineering jobs in Lviv highlights a significant demand for experienced professionals. Specifically, 69% of the available positions are at the Mid-Senior level, while 14% are Entry level roles and 7% are categorized as Associate positions. This data underscores the importance for hiring managers in the tech sector to focus recruitment strategies on attracting Mid-Senior level talent, given the prevalent hiring trends in the region.
In the Ukrainian software development landscape, the employment type distribution clearly highlights the preference for Full-time roles, which make up 95% of job opportunities. Contract positions follow, constituting 5% of the workforce, while Part-time roles represent approximately 1% of the market. This distribution underscores the strong demand for stability in the Artificial Intelligence and Machine Learning sectors, particularly in cities like Lviv.
The time to hire for Artificial Intelligence Machine Learning Engineers in Ukraine reveals a noteworthy distribution, with the most significant cluster occurring between 30 and 35 days, where 152 positions were filled. As hiring managers in Lviv's tech sector evaluate their recruitment strategies, it is crucial to note that 54 hires took place at the 20-day mark, demonstrating a competitive timeline for securing talent. Moreover, the data indicates that 46 roles were filled in 15 days and 43 in 10 days, highlighting the urgency often present in this talent market. However, it is important to also consider the longer hiring periods, such as the 40-day mark, where 34 positions were filled, which may necessitate tailored approaches for senior-level roles. Overall, these insights into the job market trends for Artificial Intelligence Machine Learning Engineers in Ukraine, particularly in Lviv, can help inform strategic hiring decisions.
The job market for Artificial Intelligence Engineers in Ukraine is predominantly concentrated in Kyiv, which accounts for 56% of the total job openings. Lviv, with 15% of the opportunities, follows as a significant hub for talent acquisition. Odesa and remote positions account for 5% and 5% respectively, illustrating a diverse range of locations for AI job seekers.
In the evolving landscape of the Artificial Intelligence Machine Learning job market, particularly in Ukraine's Lviv, several technologies stand out due to their frequency of use. The most prevalent technology is Python, with a remarkable usage frequency of 13,742, underscoring its significance in AI and ML development. Following closely are Machine Learning and SQL, with frequencies of 7,875 and 5,896, respectively, indicating their critical roles in data manipulation and algorithmic implementation. Other notable technologies include Java at 1,583, AWS at 1,471, and Cloud technologies at 1,171. For a detailed visualization of these trends, please refer to the accompanying chart.
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