Senior Engineer, Machine Learning

GXO Logistics, Inc. is a leading provider of cutting-edge supply chain solutions. As a Machine Learning Engineer, you will design, build, and maintain scalable machine learning systems while collaborating with data scientists and software engineers to optimize performance across operations.

Responsibilities:

• Design, develop, deploy, and maintain ML systems, microservices, and software components that enhance and support supply chain operations and technology
• Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards
• Design and build, and/or collaborate with data engineering teams to develop data models, pipelines, and integration layers that support and feed ML solutions, ensuring scalability, reliability, and data quality
• Develop ML integration APIs and services using Python, SQL, and frameworks such as Flask and FastAPI with a focus on reliability, latency, and maintainability
• Build agile and portable ML solutions using containerization tools like Docker and Kubernetes
• Implement monitoring, alerting, and observability for ML services
• Collaborate with business and product stakeholders to understand use cases and educate teams on ML capabilities
• Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration
• Communicate effectively with leadership to secure resources, address issues, and provide project updates
• Take ownership of projects end-to-end with minimal supervision
• Mentor junior engineers on best practices in ML and software development through pair programming, code reviews, and architectural guidance
• Stay current on emerging ML and platform technologies and contribute to the organization’s ML roadmap
• Maintain high-quality technical documentation across systems, services, pipelines, and deployment workflows

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3–5 years of experience in software engineering, ML engineering, or data science, with at least 2 years focused on designing, building, and deploying scalable, production-grade machine learning systems
• Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable)
• Expertise in Python, APIs, SQL, system design, DevOps/MLOps, and familiarity with distributed systems
• Familiarity with common ML frameworks such as TensorFlow, scikit-learn, PyTorch, and related tooling
• Experience in monitoring, troubleshooting, and optimizing deployed solutions
• Strong analytical and problem-solving skills
• Strong understanding of all stages of the ML lifecycle
• Familiarity with logistics systems and supply chain systems (e.g., WMS, OMS, TMS)
• Experience with Snowflake and its ecosystem
• Hands-on experience with GCP Vertex AI
• Experience with JavaScript and integrating ML outputs in user-facing applications