Senior Software Engineer - Machine Learning & Artificial Intelligence (ML & AI)

Responsibilities

One of the nation's largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (NYSE : UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 300 corporation, annual revenues were $15.8 billion in 2024. During the year, UHS was again recognized as one of the World's Most Admired Companies by Fortune; and listed in Forbes ranking of America's Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 99,000 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located all over the U.S. States, Washington, D.C., Puerto Rico and the United Kingdom. www.uhs.com

The Corporate Information Services Department is seeking a dynamic and talented Sr. Software Engineer - Machine Learning and Artificial Intelligence.

The Sr. Software Engineer - Machine Learning and Artificial Intelligence plays a crucial role in developing AI-driven solutions that enhance patient care, streamline operations, and improve clinical decision-making. This position requires expertise in machine learning, deep learning, software engineering, and healthcare data management with emphasis on platform architecture. The engineer collaborates with data scientists, clinicians, and IT teams to design, implement, and optimize AI models that integrate seamlessly into healthcare workflows.

Key Responsibilities include :

Development and Design :

• Design, train, and deploy predictive analytics models for disease detection, patient risk assessment, and personalized treatment recommendations.
• Develop computer vision algorithms for medical imaging analysis, assisting in diagnostics and anomaly detection.
• Implement natural language processing (NLP) models for extracting insights from clinical notes, electronic health records (EHRs), and medical literature.
• Architect and develop scalable AI-driven applications that integrate with healthcare systems.
• Ensure data governance, compliance (HIPAA, GDPR), and security best practices.
• Optimize AI models for real-time processing and efficient deployment in cloud or on-premise environments.
• Design and maintain data pipelines for structured and unstructured healthcare data.
• Ensure data quality, preprocessing, and feature engineering for AI model training.
• Work with big data technologies to manage large-scale healthcare datasets.
• Ensure AI solutions comply with HIPAA, GDPR, and other healthcare regulations.
• Implement robust security measures to protect patient data and prevent unauthorized access.
• Develop explainable AI (XAI) models to enhance transparency and trust in AI-driven healthcare decisions.
• Work closely with clinicians, researchers, and administrators to define AI-driven solutions that improve patient outcomes.
• Communicate AI insights effectively to non-technical stakeholders, ensuring alignment with healthcare objectives.

Maintenance and Support :

Qualifications

Position Requirements :

Knowledge and Skills :

Key Responsibilities :

Travel Requirements : 5% US or International travel

This opportunity provides the following :

UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and / or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means.

EEO Statement

All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws.

We believe that diversity and inclusion among our teammates is critical to our success.

Notice

At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries. We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at : https : / / uhs.alertline.com or 1-800-852-3449 .