Sr. Machine Learning Engineer

Role Overview

Design, build, and deploy machine learning systems that power AI-driven features across Mirion's products. This role combines hands-on modeling and ML infrastructure work with technical leadership.

What You Will Do

Design, train, and deploy machine learning models for applied use cases, architect end-to-end ML systems, and lead technical design reviews.

Why It Might Be a Fit

Strong proficiency in Python and modern ML frameworks, experience taking ML models from research/prototype through to production deployment, and proven ability to mentor and guide junior engineers.

Requirements

• 5+ years experience in machine learning engineering, applied ML, or related field
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)
• Deep experience taking ML models from research/prototype through to production deployment
• Hands-on experience with ML infrastructure — training pipelines, model serving, experiment tracking, and monitoring
• Solid software engineering fundamentals: testing, code review, version control, and CI/CD
• Working knowledge of SQL and modern data warehouses or lakehouses (Snowflake, BigQuery, Databricks, etc.)
• Experience with cloud platforms (AWS, GCP, or Azure) at scale
• Proven ability to mentor and guide junior engineers