Staff Machine Learning Engineer (Ref: 197043)

We partner with organizations redefining how talent accelerates growth. In this engagement, we operate as an external recruitment partner to help this organization attract and secure top-tier ML engineering talent for strategic initiatives in the finance technology sector.

We are seeking a Staff Machine Learning Engineer to join our client's Paris-based team. This senior individual contributor role focuses on shaping scalable ML systems and driving cross-functional impact across product, data science, and engineering functions. You will lead architectural discussions, set high standards for model reliability, and mentor engineers to raise the bar for production-grade AI solutions.

• Architect and steward end-to-end ML solutions that power core product features and efficiency initiatives.
• Define and enforce best practices for data collection, labeling, experimentation, and model deployment.
• Collaborate with product managers, data scientists, and platform teams to translate business goals into measurable machine-learning outcomes.
• Lead code reviews and contribute to a culture of robust engineering discipline and observability.
• Mentor and grow a team of ML engineers, fostering career development and technical excellence.

• Extensive hands-on experience building production-grade ML systems in domains relevant to fintech, including risk, fraud, and customer analytics.
• Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow) and strong software engineering background (CI/CD, testing, observability).
• Experience delivering large-scale models and pipelines with robust monitoring and governance.
• Excellent collaboration skills across disciplines and clear communication with stakeholders and leadership.
• Track record of technical leadership and mentoring in ML/AI environments.

• Competitive salary and equity opportunities aligned to impact and seniority.
• Comprehensive health coverage and retirement plans.
• Flexible work arrangements and remote-friendly options in addition to Paris operations.
• Learning and development budget with access to global conferences and training.
• Relocation support for the right candidate in the European market.

This is a full-time, on-site role based in Paris, France, with hybrid options available. The ideal candidate will navigate the intersection of finance technology and machine learning, delivering scalable, secure ML systems that align with regulatory expectations and business goals.