Senior AI/ML Engineer - Remote Healthcare ML Systems

UnitedHealth Group; San Diego (CA); Remote; USD 120,000 - 215,000; Full time

Job summary

UnitedHealth Group's Optum Tech is advancing autonomous medical coding in a SaaS platform using machine learning and LLMs. You will work with data scientists and software engineers to build scalable production solutions, deploying and monitoring models for millions of medical charts daily.

Remote work from anywhere in the U.S. is supported, with in-person requirements only for certain locations (Minneapolis, DC) as specified.

Qualifications

• Bachelor of Science or higher in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience.
• 5+ years of industry experience building and operating ML systems in production (or equivalent depth), with a track record of shipped impact.
• 3+ years of experience in C# or Python.
• 3+ years of Azure experience.
• 3+ years of experience in supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting.
• 3+ years of MLOps expertise including CI/CD for ML, containers, Kubernetes/serverless inference, model registries, reproducibility, and model monitoring.
• 1+ years of experience with LLMOps including prompt engineering, retrieval-augmented generation, fine-tuning, evaluation, and safety/guardrails.

Responsibilities

• Ship production ML systems end-to-end: problem framing, data discovery, feature engineering, training, evaluation, deployment, monitoring, and iteration
• Design robust ML system architectures with low-latency inference and high availability
• Build and maintain reliable data and model pipelines using modern MLOps practices (CI/CD for ML, model registries, experiment tracking, automated retraining)
• Contribute to technical scoping and break down complex initiatives into executable roadmaps; drive execution across cross-functional partners
• Establish evaluation strategies: metrics, simulation, counterfactuals, and A/B tests; quantify impact and ensure statistical rigor
• Implement model observability and governance: drift detection, performance monitoring, fairness/bias assessments, and model documentation
• Collaborate closely with product, design, data, and platform teams to translate product goals into ML opportunities and measurable outcomes

Skills

Python

C#

Azure

MLOps

LLMOps

CI/CD for ML

Kubernetes

Model monitoring

Data pipelines

Research & training

Education

Bachelor's degree or higher in CS/Engineering/Statistics

4+ years relevant experience

Tools

Azure

Kubernetes

Job description

UnitedHealth Group's Optum Tech is advancing autonomous medical coding in a SaaS platform using machine learning and LLMs. You will work with data scientists and software engineers to build scalable production solutions, deploying and monitoring models for millions of medical charts daily.

Remote work from anywhere in the U.S. is supported, with in-person requirements only for certain locations (Minneapolis, DC) as specified.