AI jobs in Hungary: Opportunities, roles, and how to land them

Current landscape and demand for AI talent in Hungary

Hungary has become a regional tech hub with growing investment in artificial intelligence projects. Companies ranging from local startups to multinational R&D centers are hiring for AI-related roles to build recommendation systems, predictive analytics, computer vision solutions and automation pipelines. Demand is strongest in fintech, healthcare, automotive engineering and enterprise software. While Budapest hosts the highest concentration of tech employers, other cities and remote teams are also expanding, creating more options for job seekers. Employers seek people who can combine solid software engineering with applied machine learning knowledge, and they value practical experience using libraries like TensorFlow, PyTorch, scikit-learn and cloud platforms such as AWS, GCP or Azure.

Top AI roles, required skills and what employers look for

Common AI jobs in Hungary include Data Scientist, Machine Learning Engineer, ML Researcher, Computer Vision Engineer, NLP Engineer and MLOps Engineer. Key technical skills include Python, ML frameworks (TensorFlow/PyTorch), data processing (Pandas, SQL), model evaluation and deployment experience (Docker, Kubernetes, CI/CD). Employers also value strong math foundations (statistics, linear algebra), experience with big data tools (Spark) and production-savvy engineering practices. Soft skills—clear communication, problem framing and teamwork—are essential, especially when collaborating with product and domain experts. Salary ranges vary widely by role, experience and company size; candidates with industry experience or specialized skills such as deep learning, time-series modeling or vision system deployment command the strongest offers.

How to find and win AI jobs in Hungary: practical steps

To increase your chances of landing AI jobs in Hungary, build a clear portfolio: public notebooks, GitHub projects, and case studies demonstrating end-to-end solutions (data ingestion, modeling, validation, deployment). Pursue targeted certifications or MOOCs for specific skills but prioritize hands-on projects. Network through local meetups, conferences and online communities; Hungarian AI and data science groups often share openings before they are posted widely. Tailor your CV to emphasize measurable results (improved accuracy, latency reductions, cost savings), and prepare for technical interviews that mix coding, statistics and system-design questions. If you're an international candidate, explore work permit pathways and highlight remote-friendly roles—many Hungarian companies hire EU nationals or offer sponsorship for in-demand positions. Finally, use specialized job boards, LinkedIn, and recruitment agencies focused on tech roles to uncover both permanent and contract opportunities.