AI / ML Engineer Jobs in Rennes

Agri-food, healthcare, services, automotive, and a strong digital sector

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Business Analyst (F/H)

FRGroupe SII • Rennes, Brittany, France

hybrid
€38,000 - €42,000
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Chargé(e) d'Accueil (F/H)

FRGroupe SII • Rennes, Brittany, France

hybrid
€22,500 - €26,000

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Ingénieur(e) Azure

FRBleu • Rennes, Brittany, France

hybrid
~ €37,400 - €58,285
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Stage Innovation : Ingénieur Intelligence Artificielle / NLP

FRALTEN • Rennes, Brittany, France

onsite
~ €23,300 - €38,900
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Stage Innovation : Ingénieur Génie logiciel / Fullstack

FRALTEN • Rennes, Brittany, France

onsite
~ €37,900 - €63,100
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Stage Innovation : Ingénieur Génie logiciel / Blockchain cryptologie

FRALTEN • Rennes, Brittany, France

onsite
~ €23,300 - €38,900
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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 Rennes

The median salary for a AI / ML Engineer in Rennes is €38,857 per year. The range is €34K - €53K. (offers-geo 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Rennes is moderate compared to other cities.

Most In-Demand Skills

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

The Rennes Job Market

Agri-food, healthcare, services, automotive, and a strong digital sector. Agri-food and industry anchor a market with a strong digital and services sector.

Top industries: Agri-food, Healthcare, Automotive & Industry, Digital Services.

STAR provides transit; tech startups emphasize remote flexibility and quality of life benefits.

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 Rennes?

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