Senior Machine Learning Engineer (W/M/X)

Ubisoft is natively data-driven: from the core of our games to our marketing actions, we’re leveraging data and algorithms.

Part of the Ubisoft Data Office, our team operates within the Player Domain, focusing on player safety and security. We build and deploy machine learning systems that keep our players protected — from detecting sanction circumvention using Graph Neural Networks (GNNs) to real-time identification of toxic chat using transformer models. Our scope is broad: NLP, anomaly detection, graph learning, and large language models.

Build scalable machine learning systems to preserve the trust and safety of our players. Our motto is to never stop at the prototyping phase — we combine research and engineering cycles with the objective of deploying production-grade products that have a real impact at scale. You will tackle hard problems at the intersection of NLP, anomaly detection, graph learning, and LLMs.

We are looking for a Senior Machine Learning Engineer with proven production experience, someone comfortable moving fluidly between research and engineering.

Missions:

The archetypal missions for this position would be to:

• Design, train, and deploy ML models across a range of player safety and security use cases, spanning NLP, anomaly detection, and graph-based learning.
• Evaluate and implement state-of-the-art ML techniques — adapting the latest research in deep learning, NLP, and graph learning to production constraints, implementing from scratch when needed.
• Take full ownership of the projects you build: interact with stakeholders, define success metrics, monitor live systems, and iterate.
• Write, optimise, and ship high-quality code that runs at scale, applying modern MLOps best practices (CI/CD, model versioning, observability).
• In collaboration with data and software engineers, deliver models and prediction pipelines to production on our internal or public cloud infrastructures.