Senior Engineer, Machine Learning

Experteer Overview As a Machine Learning Engineer at GXO, you design, build, and maintain scalable ML systems that power our logistics operations. You will collaborate with data scientists, software engineers, and business stakeholders to deploy models into production with reliability and performance. You’ll contribute to a technology-driven transformation of transportation logistics and help shape GXO’s ML roadmap. This role offers hands-on work with modern ML and cloud platforms and opportunities to mentor teammates. You will be empowered to own projects end-to-end and impact critical supply chain processes.

Rémunérations / Avantages • Design, develop, deploy, and maintain ML systems, microservices, and software components for supply chain operations • Ensure CI/CD, source control, secure coding practices in development and deployment • Collaborate with data engineers to build data models and pipelines supporting ML solutions • Develop ML integration APIs and services using Python, Flask, and FastAPI • Containerize solutions with Docker and Kubernetes; build observability and monitoring for ML services • Collaborate with stakeholders to translate use cases into ML capabilities; educate teams on ML • Coordinate with IT (infrastructure, InfoSec, data engineering) for seamless integration • Communicate project status to leadership and secure necessary resources • Mentor junior engineers through reviews, pair programming, and architectural guidance • Maintain documentation across systems, services, pipelines, and deployment workflows • Stay current on ML and platform tech and contribute to the ML roadmap • Take ownership of projects end-to-end with minimal supervision

Responsabilités • Bachelor in Computer Science (or related analytics field) • 3-5 years in software/ML engineering or data science with 2+ years focused on production-grade ML systems • Strong proficiency in cloud environments (GCP preferred; AWS/Azure acceptable) • Expertise in Python, APIs, SQL, system design, DevOps/MLOps, and distributed systems • Familiarity with ML frameworks such as TensorFlow, scikit-learn, PyTorch • Experience in monitoring, troubleshooting, and optimizing deployed solutions • Strong analytical and problem-solving skills • Solid understanding of all stages of the ML lifecycle

Principales exigences • full health insurance (medical, dental, vision) • 401(k) • life insurance • disability and more