Machine Learning Engineer at Sperry Rail, Inc.

Department: Business Intelligence

Setup: On-site
Location: Shelton, Connecticut
Type: Full-time
Level: senior
Posted: Aug 20, 2026

Description

Sperry Rail is hiring a US-based Data Science Engineer to take machine-learning models and analyses from prototype to production. The role owns model and data pipelines, versioning, monitoring, retraining, APIs, AWS compute and orchestration, and engineering standards, while collaborating with cloud, data, and UK platform teams. It requires strong Python, machine-learning production experience, data-pipeline and SQL skills, AWS and containerization experience, and software-engineering practices; a bachelor's degree and MLOps or rail-industry experience are desirable.

Required Skills

Python
Machine learning
Data pipelines
SQL
AWS
Docker
Git
CI/CD
MLOps

Additional Information

Required Previous Experiences: Experience putting machine learning models or statistical analyses into production and keeping them running
Experience building data pipelines and working with structured and unstructured data at scale
Experience with AWS cloud services and cloud-native architecture
Practical experience with containerization and infrastructure-as-code
Preferred Qualifications: Bachelor's degree in computer science, engineering, or a related technical field
MLOps tooling experience
Workflow orchestration experience
Observability and monitoring tooling experience
Experience as the first engineer on a data science team
Signal processing or sensor-data experience
Experience in rail testing, NDT, or sensor-based inspection industries
Translation Company Name: Sperry Rail, Inc.