Machine Learning Engineer • Lyon

Your Guide to Machine Learning Engineer Jobs in Lyon

Lyon is rapidly emerging as a significant hub for technological innovation in France, particularly within the industrial tech, biotech, and B2B SaaS sectors. As a Machine Learning Engineer, you'll find a growing demand for your expertise, blending the city's strong engineering heritage with cutting-edge AI development. This guide cuts through the noise to provide actionable insights into securing your next ML role in Lyon's dynamic market.

The Market

Lyon hiring landscape

The Machine Learning engineering market in Lyon is steadily growing, characterized by a healthy demand in industrial tech, logistics, and B2B SaaS companies. While not as saturated as Paris, you'll encounter a balanced hiring temperature with a focus on practical application of ML models. Recent shifts indicate a greater emphasis on MLOps practices and the ability to deploy and maintain models at scale, moving beyond pure research roles.

Demand

Steady demand

Competition

Moderately competitive

Hub for

industrial tech, biotech, B2B SaaS

Salary range

Quoted in EUR · base + typical equity for Lyon

Junior€40k€55k
Mid€55k€80k
Senior€80k€120k

Salaries in Lyon are typically expressed in gross annual amounts. For high earners, expect approximately 70-75% of your gross salary to be retained net after social charges and income tax. Equity or RSU components are less common than in US roles but are gaining traction in some startups.

See full machine learning engineer salary breakdown for Lyon

Where to apply

Top employers in Lyon

EasyMile

Leader in autonomous vehicle technology, providing robust environments for real-world ML applications in navigation and perception.

Python, C++, ROS, sensor fusion, computer vision, deep learning for autonomous driving.

Sully Group

A consultancy firm with a strong focus on digital transformation, they often work on diverse ML projects for various clients across different industries in Lyon.

Python (Scikit-learn, TensorFlow, PyTorch), cloud platforms (Azure, AWS), data engineering, custom ML solutions.

Esker

Pioneers in AI-driven process automation for finance and customer service, offering substantial opportunities for ML Engineers to optimize business workflows.

Natural Language Processing (NLP), Robotic Process Automation (RPA), predictive analytics, Python, Java, cloud-native ML.

Axway

Enterprise software company focusing on API management and data integration, using ML to enhance security, optimize performance, and identify patterns in data flows.

Anomaly detection, predictive maintenance, data stream processing, Python, Java, Apache Kafka, cloud integration.

Adeo (Leroy Merlin - Tech)

The tech arm of the global DIY retailer, they're building advanced ML solutions for e-commerce, logistics, and supply chain optimization from their Lyon tech hub.

Recommendation systems, demand forecasting, logistics optimization, Python, PyTorch/TensorFlow, GCP, MLOps.

Capgemini Engineering

While a global giant, their Lyon office has significant engagements in R&D and engineering for industrial clients, often involving embedded ML and AI solutions.

Embedded ML, computer vision, predictive analytics for industrial applications, C++, Python, TensorFlow Lite, edge AI.

bioMérieux

A world leader in in vitro diagnostics, utilizing ML for improving diagnostic accuracy, optimizing lab processes, and personalized medicine in their Lyon labs.

Bioinformatics, medical imaging analysis, time series analysis, Python, R, specific domain-focused ML models.

Haptic Media

Specializes in interactive 3D and augmented reality solutions, often leveraging ML for advanced visual recognition, personalization, and user experience.

Computer vision, 3D reconstruction, generative AI, real-time rendering, Python, Unity/Unreal Engine integration.

Playbook

Apply smarter, not faster

01

Tailor your resume and cover letter to Lyon's key industries.

Many Lyon companies operate in industrial tech, biotech, and B2B SaaS. Highlight experience relevant to these sectors, even if it's from a different domain, to demonstrate your understanding of local market needs.

02

Prepare for technical interviews in both French and English.

While English is common in tech, many local companies and hiring managers may prefer or require French for portions of the interview process, especially for team integration and cross-functional communication.

03

Showcase your MLOps and deployment experience.

Lyon's market values engineers who can not only build models but also productionize them. Emphasize your skills in containerization, CI/CD for ML, monitoring, and scaling.

04

Network with local ML professionals on LinkedIn and at tech events.

Lyon has a vibrant tech community. Connecting with engineers and data scientists at local meetups or online groups can uncover hidden opportunities and provide valuable insights into specific company cultures.

05

Be ready to discuss the business impact of your ML projects.

Lyon companies, especially in B2B SaaS and industrial tech, are often driven by clear business value. Frame your past projects by quantifying the impact your ML solutions had on revenue, efficiency, or cost savings.

06

Research the Passeport Talent visa if you're an international candidate.

Understanding the eligibility criteria and required documents for the 'Passeport Talent' visa beforehand will streamline your application process and demonstrate your readiness for relocation to France.

Visa & relocation

Working in Lyon

For non-EU citizens, the 'Passeport Talent' visa is the most common and streamlined route for highly skilled professionals, including Machine Learning Engineers, to work in France. Many Lyon-based companies are open to sponsoring this visa. Be prepared for French language requirements in daily life, though English is prevalent in tech teams. Relocation packages are common for senior roles or specialized talent.

FAQ

Machine Learning Engineer jobs in Lyon
What you should know.

You'll most commonly find Python (with PyTorch or TensorFlow) for model development. MLOps tools like Kubernetes, Docker, and various cloud platforms (AWS, Azure, GCP) are highly valued for deployment and management. SQL and NoSQL databases are also standard.

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