Senior Machine Learning Engineer

• 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.

We are looking for a Senior Machine Learning Engineer with proven production experience, someone comfortable moving fluidly between research and engineering., * Strong Python software engineering skills: clean code, testing, documentation, CI/CD.

• Proven experience deploying and monitoring production ML models (MLOps, model serving, drift monitoring).
• Hands-on experience with NLP / LLMs: fine-tuning transformer models, prompt engineering, RAG, or LLM-based pipelines.
• Experience with graph-based ML (GNNs) is a strong plus.
• Knowledge of anomaly detection or fraud/trust & safety systems in a production context.
• Experience with distributed data processing (Spark) and cloud data platforms; familiarity with Databricks (DAB, Delta Live Tables) or Azure-specific services is a plus.
• Strong communication skills; English is mandatory (presentations, cross-team collaboration, reporting).
• Ideal candidate: experience with token classification (NER, sequence labelling) and/or hands-on GNN training (node classification, link prediction, graph construction pipelines).

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!, 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.