ML Engineer Salary in Nuremberg (2026)
ML engineers in Nuremberg earn €58,000–€100,000 per year, with a median of €76,000. This is the highest-paying individual contributor role in the region's tech market — and for good reason. Nuremberg sits at the intersection of industrial AI (Siemens deploying ML across thousands of factories), medical AI (Siemens Healthineers with FDA-cleared and CE-marked algorithms), and AI research (Fraunhofer IIS, FAU Erlangen-Nürnberg). These aren't experimental projects — they're production AI systems with physical-world impact.
Key Facts
- ML engineers earn €58K–€100K/year — highest-paying IC role in the region
- Siemens deploys production AI across thousands of factories globally
- Siemens Healthineers has FDA-cleared medical AI algorithms
- Fraunhofer IIS (MP3 inventors) and FAU anchor the research ecosystem
- Production ML + edge deployment skills valued over pure research credentials
Salary by Experience Level
- Junior (0–2 years): €48,000–€60,000
- Mid-level (3–5 years): €60,000–€82,000
- Senior (6+ years): €82,000–€100,000
Industrial AI at Siemens
Siemens is one of Europe's largest deployers of industrial AI — predictive maintenance models monitoring factory equipment, computer vision for quality inspection, energy optimization algorithms, and autonomous logistics systems. These are production systems at industrial scale running in factories across continents. ML engineers who can deploy models to edge devices, handle model drift monitoring in production, and bridge the gap between research prototypes and factory-floor reality are in high demand. Senior roles reach €90,000–€100,000.
Medical AI at Siemens Healthineers
Siemens Healthineers has FDA-cleared and CE-marked AI algorithms for radiology — systems that help doctors detect cancer, heart disease, and neurological conditions. ML engineers need to understand model validation for regulatory submissions, clinical workflow integration, and explainability requirements. These specialized roles are among the highest paid in the region and create globally transferable credentials.
The Research Pipeline
FAU Erlangen-Nürnberg has strong AI research departments. Fraunhofer IIS — the institute that invented the MP3 format — conducts deep research in AI, communications, and signal processing. The Zollhof Tech Incubator supports ML-focused startups. This research-to-industry pipeline creates a rich ecosystem for ML engineers who want to stay close to cutting-edge research while deploying production systems.
Production ML Over Research ML
Nuremberg ML engineering is overwhelmingly applied. The premium goes to engineers who can take a model from prototype to production deployment with proper monitoring, versioning, and performance tracking on edge devices. MLOps skills are more valued than cutting-edge algorithm research — though Fraunhofer and FAU roles serve those who prefer the research track.
Top Hiring Companies
Career Advice
Combine production ML skills (MLOps, model serving, edge deployment, monitoring) with industrial or medical domain knowledge. Siemens offers the strongest compensation for engineers who can deploy models to factory floors. Healthineers provides globally unique medical AI credentials. Build computer vision expertise — it's the most in-demand ML specialization in Nuremberg for both quality inspection and medical imaging. The Fraunhofer/FAU research ecosystem keeps you at the cutting edge while Siemens/Healthineers provide production-scale deployment experience.
ML Engineer Insights — Nuremberg
ML Engineer salaries in Nuremberg range from €58,000 to €100,000, a 55% spread that reflects significant variation based on experience level, specialization, and company size. The median of €76,000 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
Nuremberg's cost of living index of 72/100 makes it one of the more expensive locations for tech professionals. While the €76,000 median is competitive, housing and daily expenses consume a larger share of income compared to lower-cost cities.
The hiring landscape for ml engineer in Nuremberg is anchored by employers like Siemens, Siemens Healthineers, and Adidas, along with 2 other notable employers. Larger employers in this market typically offer compensation at the upper end of the range, often supplemented with equity, signing bonuses, and comprehensive benefits.
Demand for ml engineer in Nuremberg centers around expertise in Python, PyTorch, TensorFlow, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the €100,000 ceiling, and have natural transition paths into roles like Senior ML Engineer or Data Scientist.
Related Roles in Nuremberg
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Senior ML Engineer | Nuremberg | €82,000 - €110,000 | €92,000 |
| Product Manager | Nuremberg | €50,000 - €95,000 | €70,000 |
| Data Scientist | Nuremberg | €52,000 - €90,000 | €68,000 |
| Full Stack Developer | Nuremberg | €48,000 - €85,000 | €64,000 |
| Senior DevOps Engineer | Nuremberg | €72,000 - €102,000 | €85,000 |
| Backend Developer |
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Frequently Asked Questions
What is the average ML engineer salary in Nuremberg?
ML engineers earn €58,000–€100,000/year with a median of €76,000. Junior roles at research spin-offs start at €48,000–€60,000. Mid-level at Siemens or Adidas pays €60,000–€82,000. Senior ML engineers at Siemens AI or Healthineers earn €82,000–€100,000. Including IG Metall bonuses at Siemens, effective senior compensation can reach €110,000+.
What ML use cases are common in Nuremberg?
Top use cases: predictive maintenance and quality inspection via computer vision (Siemens factories), medical imaging AI for diagnostics (Siemens Healthineers), supply chain optimization and personalization (Adidas), automotive component analysis (Schaeffler, Bosch), and signal processing research (Fraunhofer IIS). Nuremberg ML is overwhelmingly applied — solving real-world problems with physical consequences.
Do I need a PhD for ML engineering roles in Nuremberg?
For most industry roles, no. Siemens, Adidas, and Schaeffler prioritize production ML skills over academic credentials. A Master's in ML, CS, or a quantitative field is sufficient. For Fraunhofer IIS research positions and Siemens Healthineers regulatory roles (where academic credibility supports regulatory submissions), PhDs are valued. Demonstrated ability to deploy and maintain ML in production matters more than publications.
How does medical AI change the ML engineer role?
Medical AI adds layers of complexity: model explainability (clinicians must understand why a model flags something), regulatory validation (EU MDR, FDA), clinical workflow integration, and extreme reliability requirements. ML engineers at Healthineers learn model validation for regulatory submissions — a skill set that few other employers can teach and that is globally transferable. Expect longer development cycles but higher impact.
Is Nuremberg or Munich better for ML engineering?
Munich has more ML positions (3–5x), higher nominal pay (median €85K vs Nuremberg's €76K), and Big Tech presence (Google, Apple, Microsoft AI labs). Nuremberg offers unique applied ML in industrial and medical AI that Munich mostly can't match, corporate stability, and 30% lower living costs. For building differentiated ML expertise in manufacturing or medical AI, Nuremberg is compelling. For market breadth and highest ceiling, Munich wins.
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