AI ML Engineer Jobs
AI ML Engineer jobs are open across technology, healthcare, financial services, and defense, from entry-level to staff and principal, with specializations in deep learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Showing 5 of 4,112+ AI ML Engineer jobs
INTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Welcome to the Optum Health AI team! Our mission is to leverage cutting-edge AI technologies to transform healthcare operations, improve patient experience, and enhance scalability. This role focuses primarily on Voice AI—a high-visibility, key strategic initiative under Optum Health AI designed to create a seamless experience for members and agents, reduce manual work, and improve scalability.
As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will cross-pollinate across all Optum Health AI pillars (including Provider Scheduling, Prior Authorization, Summarization, and more) while setting enterprise-wide standards for external vendor evaluations. Partnering closely with ECS Business, you will lead the estimates, solution architecture, roadmap alignment, and engineering to deliver production-ready prototypes that are reusable, scalable, secure, and compliant.
This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning
- Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions
- Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities
- Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks
- Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle
- Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows
- Define enterprise standards for evaluating and vetting external AI vendors
- Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field; 4+ years of software engineering experience may substitute for a degree
- 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
- 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
- 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
- Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
- Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks
- Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
- Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
- Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection
- Demonstrated adaptability, ownership, learning agility, and curiosity in solving ambiguous, high-impact technical problems
COMPENSATION
- Salary Range: $145,500 - $249,500 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
INTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Welcome to the Optum Health AI team! Our mission is to leverage cutting-edge AI technologies to transform healthcare operations, improve patient experience, and enhance scalability. This role focuses primarily on Voice AI—a high-visibility, key strategic initiative under Optum Health AI designed to create a seamless experience for members and agents, reduce manual work, and improve scalability.
As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will cross-pollinate across all Optum Health AI pillars (including Provider Scheduling, Prior Authorization, Summarization, and more) while setting enterprise-wide standards for external vendor evaluations. Partnering closely with ECS Business, you will lead the estimates, solution architecture, roadmap alignment, and engineering to deliver production-ready prototypes that are reusable, scalable, secure, and compliant.
This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning
- Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions
- Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities
- Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks
- Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle
- Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows
- Define enterprise standards for evaluating and vetting external AI vendors
- Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field; 4+ years of software engineering experience may substitute for a degree
- 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
- 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
- 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
- Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
- Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks
- Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
- Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
- Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection
- Demonstrated adaptability, ownership, learning agility, and curiosity in solving ambiguous, high-impact technical problems
COMPENSATION
- Salary Range: $145,500 - $249,500 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
See All 4,112+ AI ML Engineer Jobs
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Find AI ML Engineer JobsAI ML Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple324
- Amazon210
- Capital One145
- TikTok99
- Google92
Top Industries Hiring
- Technology & Software1,571
- Electronics & Hardware446
- Consulting & Professional Services299
- Banking & Financial Services295
- Artificial Intelligence234
What Employers Look For
The qualifications that appear most often in AI ML engineer jobs.
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Strong foundation in statistics, linear algebra, and probability theory
- Familiarity with MLOps tools and platforms including Kubeflow, MLflow, or SageMaker
- Experience working with large datasets using SQL, Spark, or distributed computing frameworks
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
Tips for Your AI ML Engineer Job Search
Tailor your resume to each stack
Recruiters scan for specific frameworks like PyTorch, TensorFlow, or JAX before reading anything else. Match the exact tool names listed in the job description, and call out model types you've trained or fine-tuned rather than listing ML as a general skill.
Show inference costs, not just accuracy
Most job descriptions ask for production ML experience. Quantify latency improvements, model compression ratios, or infrastructure cost reductions you've driven. Accuracy metrics alone don't signal you've shipped a model that runs reliably at scale.
Target openings by model domain, not job title
Titles vary wildly across companies. Search for the domain you work in, like recommendation systems, time-series forecasting, or LLM fine-tuning, in addition to the job title. You'll surface relevant roles that use different naming conventions.
Apply early to roles that fit
Migrate Mate lists ai ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for ML pipelines
Most ai ml engineer interviews include a round where you design a full ML system end to end. Practice walking through data ingestion, feature engineering, training infrastructure, model serving, and monitoring before you get on the call.
Negotiate on compute budget, not just compensation
When you reach the offer stage, ask about GPU or TPU access, cloud credits, and whether the team uses managed services or builds infrastructure internally. These details affect your day-to-day work and your ability to ship, and they're fully negotiable.
AI ML Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai ml engineers?
The companies hiring the most ai ml engineers right now include Apple, Amazon, and Capital One, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in companies building large-scale recommendation systems, generative AI products, and enterprise ML platforms.
How many ai ml engineer jobs are remote?
About 28% of ai ml engineer openings are fully remote or hybrid as of June 2026, making it one of the more flexible engineering roles available. Research and applied science positions tend to offer the most remote flexibility, while roles tied to real-time inference infrastructure or on-premise hardware more often require on-site presence.
How do you become an ai ml engineer?
Build a foundation in Python, linear algebra, and statistics, then work through core ML concepts using publicly available courses and datasets. Develop hands-on projects that go beyond training a model, covering feature pipelines, evaluation, and deployment. Contribute to open-source ML projects or Kaggle competitions to build a visible portfolio, then apply to roles that match your domain focus.
Can you get an ai ml engineer job with little or no experience?
Yes, but you need a portfolio that demonstrates you can move a model from experiment to production. Build end-to-end projects that include data preprocessing, model selection, evaluation, and a deployed endpoint. Entry-level roles and ML engineering apprenticeships at product companies are the most accessible starting points for candidates without formal industry experience.
What does the ai ml engineer interview process look like?
Most ai ml engineer interview processes include a recruiter screen, a take-home or live coding round focused on Python and data manipulation, an ML system design round where you architect a full pipeline, and a behavioral round. Senior roles often add a research presentation or a deep-dive into a past project you've shipped, with questions on trade-offs and production challenges.
Where can I find and apply to ai ml engineer jobs?
You can find and apply to ai ml engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 4,112+ AI ML Engineer Jobs
Jump back to the full list of openings and apply to any AI ML engineer role that fits.
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