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# AI/ML Engineer, Sr. - Remote

- **Company:** TRENT HOEK OUTDOORS LLC
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Scikit Learn, Machine Learning Operations
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ppzzw2ettg

## About the Role

* 5+ years of experience in software, data, AI, or related fields.

 * 3+ years of experience deploying machine learning models.

 * Strong Python expertise.

 * Experience with TensorFlow, PyTorch, and/or scikit-learn.

 * Cloud experience.

 * Experience working with AI/ML solutions in production environments.

## Preferred Qualifications

 * Experience with robust MLOps practices.

 * Experience with AI/ML governance.

 * Experience developing solutions within healthcare or healthcare-related environments.

## Skills & Competencies

 * Artificial Intelligence (AI)

 * Machine Learning (ML)

 * Python

 * TensorFlow

 * PyTorch

 * scikit-learn

 * MLOps

 * Machine learning model deployment

 * Cloud technologies

 * AI/ML governance

 * Production AI/ML systems

 * Cross-functional collaboration

 * Software and data engineering

## Education & Experience

Education

 * No specific educational requirement stated.

Experience

 * 5+ years of experience in software, data, AI, or related fields.

 * 3+ years of experience deploying machine learning models.

 * Experience with Python, machine learning frameworks, and cloud technologies.

## Work Arrangement & Schedule

 * Work arrangement: Remote nationwide or office-based.

## Description

UnitedHealth Group is seeking a Senior AI/ML Engineer to design, build, and scale artificial intelligence and machine learning solutions that improve healthcare experiences. The role involves developing production-ready AI/ML solutions and working with cross-functional teams to bring machine learning models into operational environments.