Senior Machine Learning Engineer (W/M/X)

Ubisoft2; Saint-Mandé; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Profit Sharing, 25 paid time off + 12?

Lunch vouchers

Healthcare for you and your family

Office in Saint Mandé with gym

Job summary

Ubisoft in Saint-Mandé, Île-de-France, is seeking a Senior Machine Learning Engineer to build scalable ML systems ensuring safe player experiences. You will move fluidly between research and engineering, delivering production-grade models for NLP, anomaly detection, and graph learning at scale.

You will own projects end-to-end, collaborate with data and software engineers, and apply modern MLOps practices to ship reliable prediction pipelines on cloud infrastructures.

Qualifications

• Proven production ML experience is required.
• Hands-on NLP/LLMs experience is essential.
• Experience with graph-based or transformer models is a plus.

Responsibilities

• Design, train, and deploy ML models across NLP, anomaly detection, and graph learning use cases.
• Evaluate state-of-the-art ML techniques and deploy them in production constraints.
• Take ownership of projects, define success metrics, monitor, and iterate.

Skills

Python

Machine learning

NLP

LLMs

MLOps

CI/CD

Distributed data processing

Tools

Spark

Databricks

Azure

Cloud platforms

Job description

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.

Your role:

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.

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's perks

• Profit Sharing, yearly company saving plan.
• 25 paid time off + 12 additional paid days off.
• 50% of your transportation pass is paid by the company.
• Lunch vouchers (9€/day).
• Healthcare for you and your family.
• Lots of Ubisoft additional perks.
• Maternity leaves of 20 weeks, paternity/co‑parental leaves of 7 weeks.
• Our office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building.

Information about Ubisoft

Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers' community.