Oria · Careers
Machine Learning Engineer
You build, train, and deploy ML models in production at the intersection of software engineering and data science.
Most in-demand skills this week — Machine Learning Engineer
Updated on 2026-07-20
- 1.Python↑ +26%4,521
- 2.Machine Learning→ -86%4,102
- 3.Docker↑ +100%3,201
- 4.PyTorch↑ +100%2,890
- 5.Kubernetes↑ +100%2,455
- 6.TensorFlow↓ +100%2,104
- 7.Deep Learning↑ -53%1,988
- 8.MLOps↑ -69%1,876
Salary by city
Editorial estimates from EU job boards and surveys — not live salary extracts.
Paris
€55K–€95K
Berlin
€60K–€100K
Amsterdam
€58K–€92K
Certifications ranked for this role
1.Machine Learning Specialization
Stanford (Coursera)
2.AWS ML Specialty
Amazon
3.TensorFlow Developer Certificate
Your path to Machine Learning Engineer
Weeks 1–4
Python + ML math foundations
Weeks 5–10
Deep learning + core ML certification
Weeks 11–16
End-to-end portfolio project (API + monitoring)
Weeks 17+
MLOps depth and technical interviews
Your personalized plan in 3 minutes
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Target role
FAQ
ML Engineer vs Data Scientist?+
Data Scientists focus on analysis and experimentation. ML Engineers own deployment, pipelines, latency, and reliability in production.
What salary can I expect in Europe?+
Junior to mid ML Engineers often earn €60K–€110K. Senior roles with cloud/MLOps depth go higher in DE, NL, UK, and remote US/EU companies.
Best certifications to start?+
Andrew Ng ML Specialization, AWS ML Specialty, and a public GitHub project beat generic certificates alone.
How long does the transition take?+
From strong software background: 6–9 months. Career changers should plan 8–12 months with structured practice.
Which skills are hottest right now?+
LLM fine-tuning, RAG pipelines, Docker/Kubernetes, and model monitoring show up in most EU job posts this year.