GXO Logistics, Inc. · 6 hours ago
Senior Engineer, Machine Learning - Remote
United States
Full-time
Remote
Mid, Senior Level
3+ years expGXO 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, collaborating with data scientists and software engineers to deploy models into production and optimize performance across operations.
LogisticsSupply Chain Management
Responsibilities
Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
Monitor model performance and data drift | Implement alerting and retraining pipelines
Clean and preprocess data | Ensure data quality and consistency for modeling
Work with cross-functional teams | Translate business needs into technical solutions
Maintain technical documentation | Ensure reproducibility and knowledge sharing
Optimize ML workflows | Identify and implement improvements in performance and scalability
Qualification
Required
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 in AI/ML engineering or Data Science, or software engineering with ML focus
ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring
Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines
Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka)
Cloud Platforms: Familiarity with AWS, GCP, or Azure
Preferred
Collaboration: Ability to work with data scientists, developers, and business stakeholders
Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders
Benefits
Full health insurance (medical, dental and vision)
401(k)
Life insurance
Disability
Company
GXO Logistics, Inc.
Game-changing opportunities for our customers, employees and investors. Advanced automation that achieves logistics at full potential.
10001+ employees
H1B Sponsorship
GXO Logistics, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2022 (5)
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$1.68B2025-11-24Post Ipo Debt· $576.56M
2024-04-25Post Ipo Debt· $1.1B
2021-08-02IPO
Leadership Team
Malcolm Wilson
Chief Executive Officer
Nizar Trigui
Chief Technology Officer
Recent News
MarketScreener
2025-12-19
2025-12-19
Company data provided by crunchbase