AI / ML Engineer Jobs in Stuttgart

10 positions available in Stuttgart. Automotive and engineering heartland, with industry, services, and the trades

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Teamleiter KI-Entwicklung (m/w/d) – Machine Learning & Softwareentwicklung

DEOptica Abrechnungszentrum Dr. Güldener GmbH • Stuttgart, Baden-Württemberg

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~ €65,231 - €104,538
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KI-Entwickler (m/w/d) – Machine Learning & Softwareentwicklung

DEOptica Abrechnungszentrum Dr. Güldener GmbH • Stuttgart, Baden-Württemberg

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~ €53,623 - €74,441
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Related Roles in Stuttgart

Software Engineer Data Engineer Financial Analyst Backend Developer Mobile Developer Product Manager Cybersecurity Engineer

AI / ML Engineer in Other Cities

Frankfurt (Hesse) Munich (Bavaria) Cologne (North Rhine-Westphalia) Düsseldorf (North Rhine-Westphalia) Dortmund (North Rhine-Westphalia) Essen (North Rhine-Westphalia) Berlin (Berlin) Hamburg (Hamburg)
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What Does a AI / ML Engineer Do?

AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.

AI / ML Engineer Salary in Stuttgart

The median salary for a AI / ML Engineer in Stuttgart is €62,276 per year. The range is €48K - €77K (P10: €37,365, P90: €96,527). (Eurostat SES 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Stuttgart is high compared to other cities.

Most In-Demand Skills

Python TensorFlow/PyTorch Machine Learning Theory NLP/Computer Vision Model Optimization LLM Fine-tuning

The Stuttgart Job Market

Automotive and engineering heartland, with industry, services, and the trades. The automotive and engineering heartland, with strong industry, services, and trades demand.

Top industries: Automotive & Engineering, Industry, Services, Skilled Trades.

SSB U-Bahn is excellent; automotive sector culture supports flexible work arrangements for specialists.

Career Path & 2026 Trends

AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.

Interview Tip

Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.

How to Find a AI / ML Engineer Job in Stuttgart?

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