Hybrid AI/ML Engineer

UnitedHealth Group

Optum seeks an AI/ML Engineer to develop generative AI capabilities for healthcare, managing the ML lifecycle in a hybrid work model.

Last checked on August 26, 2026. We may earn a commission when you click through.

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✓ Flexible hybrid work model ✓ Focus on cutting-edge generative AI ✓ Collaborative work environment
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Hybrid AI/ML Engineer

UnitedHealth Group

Updated 29 days ago
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Dublin Hybrid

This position is a strong fit for tech-savvy professionals passionate about healthcare innovation. However, the absence of salary information may deter some potential applicants.

About this role

Optum seeks an AI/ML Engineer to develop generative AI capabilities for healthcare, managing the ML lifecycle in a hybrid work model.

About the Company

Optum is part of UnitedHealth Group, focusing on innovative healthcare solutions through technology.

Key Highlights

  • ✓ Manage end-to-end ML lifecycles
  • ✓ Work in a hybrid model with Dublin and Letterkenny offices
  • ✓ Collaborate on generative AI projects for healthcare

💡 Honest Take: While this role offers flexibility and innovative projects, be prepared for a fast-paced environment with high expectations. The lack of disclosed salary may also be a concern for some candidates.

Pros

  • ✓ Flexible hybrid work model
  • ✓ Focus on cutting-edge generative AI
  • ✓ Collaborative work environment

Cons

  • ✗ Salary not disclosed
  • ✗ Fast-paced work may be stressful
  • ✗ Limited information on benefits

Best For: Individuals looking to innovate in healthcare through AI and ML, especially in a hybrid work setting.

Watch Out: The role's high expectations may lead to a demanding work environment, potentially affecting work-life balance.

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What Customers Say

Employees appreciate the innovative projects but highlight the demanding pace and lack of salary transparency.

Expert Review

This position at Optum is aimed at professionals skilled in AI and machine learning, specifically tailored for the healthcare sector. With a focus on managing the full ML lifecycle, candidates will need to be adept at handling data preparation, model deployment, and ongoing project collaboration. The hybrid work model offers flexibility, allowing employees to balance office and remote work, which can be for those seeking a modern work environment.

However, potential applicants should be aware that the job's demands may lead to a fast-paced atmosphere that could be challenging, especially without clear salary guidelines. According to the job listing, specifics on compensation and benefits are lacking, which can be a red flag for job seekers. It’s advisable to have discussions about salary expectations during the interview process to avoid any surprises later on.

Overall, this role appeals to those who thrive in innovative settings and are eager to contribute to advancements in healthcare technology.

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