Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir.

At Roche Diagnostics

Solutions (RDS) , our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique.

Within Computational

Science & Informatics (CSI) , we are the bridge between our origin and our future, shaping the next era of human health through precise, data-driven diagnostics and precision medicine. We excel in delivering rigorous, clinically actionable data analysis across our diagnostics portfolio, believing that advancing computational methods and informatics solutions is essential to harnessing dynamic human health data. We are looking for a Senior Machine Learning Engineer with a strong technical background rooted in fundamental computer science and database management.

The position requires a team player who strives for engineering and technical excellence, and is passionate about leveraging technology to change the face of medicine. In this role, you will act as a technical lead, driving the long-term planning, architecture, and design of initiatives such as our core ML and Data Platform. You will handle complex data projects alongside cross-functional teams, providing the robust infrastructure and tooling necessary for our Data Scientists to accomplish their research and production goals efficiently.

Act as the central technical liaison between project stakeholders and the Data Science team, taking full ownership of integrating and deploying algorithms and machine learning models into production workflows. Design, build, and scale cloud-native and hybrid data and machine learning platforms (MLOps) tailored to the complex, evolving needs of our established Data Science team. Plan, architect, and develop long-term enterprise tooling and infrastructure for internal use to accelerate and streamline ML model research, training, and evaluation.





Take responsibility for the end-to-end software and data architecture within Data Science initiatives, independently driving the specification, implementation, and testing of complex technical assignments. Serve as a technical lead and subject matter expert, gathering requirements from data-focused profiles to continuously improve the ML platform while mentoring peers to foster a culture of engineering excellence. You are a collaborative technical leader who strives for engineering excellence and is passionate about leveraging technology to change the face of medicine.

You excel at navigating ambiguity, enjoy handling complex data projects, and love mentoring others to grow technically. A Degree in Computer Science, Software Engineering, or a closely related technical field. Extensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design Patterns.

Strict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version control.

Relational

Databases, No-SQL Databases, Object Storage). Solid knowledge and practical experience with HPC (High-Performance Computing) and AWS-based data engineering and analytics solutions.

Tech Stack Alignment: Deep familiarity with the Python data ecosystem (e.g., NumPy, Pandas, Scikit-learn), proficiency in Linux environments, and hands‐on experience with modern data integration, ETL, and MLOps tools. Domain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcare.

Official

Cloud certifications (e.g., AWS Certified Solutions Architect - Professional). Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique.

📌 Machine Learning Engineer, Senior (San Cugat del Vallés)
🏢 Roche Holding
📍 San Cugat del Vallés