Machine Learning Engineer Jobs in Czech Republic

Job Market Overview and Demand

The Czech Republic’s tech scene has expanded rapidly in recent years, driven by startups, scale-ups and established multinational R&D centers. Prague and Brno are the primary hotspots: Prague attracts fintech, adtech and enterprise AI teams, while Brno is known for hardware-software integration, automotive AI and research partnerships. Demand for machine learning engineers spans industries—healthcare, finance, e-commerce, manufacturing and gaming—resulting in a steady number of openings for roles like ML Engineer, Research Engineer, Data Scientist with ML focus, and MLOps Engineer. Companies look for engineers who can not only build models but also productionize them: data pipelines, model deployment, monitoring and optimization are in high demand. Remote and hybrid roles are increasingly common, making the market accessible to international candidates.

Skills, Qualifications, and Salary Expectations

Employers typically require a strong foundation in machine learning fundamentals (supervised/unsupervised learning, deep learning, probabilistic models) along with practical skills in Python, TensorFlow/PyTorch, scikit-learn, and SQL. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), MLOps tools, and data engineering (Spark, Kafka) is a major advantage. A degree in computer science, engineering, mathematics or a related field is common, though demonstrable project experience, public code repositories and publications can substitute. Language requirements vary: many international teams operate in English, especially in Prague, but Czech language skills can help for local companies and deeper integration. Salaries depend on experience and city: junior ML engineers often start around €28k–€40k yearly, mid-level roles €40k–€70k, and senior positions can exceed €70k (figures vary; Prague tends to be on the higher side). Benefits often include bonuses, stock options, flexible hours, and relocation support.

How to Find and Apply — Top Employers and Practical Tips

Start by searching job platforms like LinkedIn, Glassdoor, local sites such as Jobs.cz and StartupJobs.cz, and company career pages of local tech firms. Target universities and research institutes for roles tied to academic collaboration. Top employers include international tech companies with Czech R&D centers, fintech firms in Prague, automotive suppliers in Brno, and AI-focused startups. To stand out, prepare a concise portfolio: GitHub projects, Kaggle results, productionized demo apps, and clear case studies that explain business impact. Tailor your CV to highlight end-to-end ML projects, MLOps experience and measurable outcomes. For interview prep, expect coding tests, ML theory questions, and system-design or model-deployment scenarios. If relocating, research visa options: EU citizens can move freely, while non-EU applicants often obtain work visas or Blue Cards—many employers offer relocation assistance. Networking at meetups, conferences (local AI events in Prague) and online communities will accelerate your job search and uncover hidden opportunities.