ML Engineer Jobs
ML Engineer jobs are open across technology, healthcare, financial services, and autonomous systems, from new-grad to staff and principal levels, with specializations in NLP, computer vision, and MLOps. Find a role that fits from the openings below and apply directly.
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Showing 5 of 4,356+ 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 4,356+ ML Engineer Jobs
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Find ML Engineer JobsML Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple355
- Amazon211
- Capital One145
- TikTok100
- Google94
Top Industries Hiring
- Technology & Software1,676
- Electronics & Hardware482
- Consulting & Professional Services310
- Banking & Financial Services304
- Artificial Intelligence251
What Employers Look For
The qualifications that appear most often in ML engineer jobs.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying models in cloud environments like AWS, GCP, or Azure
- Familiarity with MLOps tools and practices including CI/CD pipelines for model deployment
- Strong foundation in statistics, linear algebra, and machine learning fundamentals
- Experience with data processing tools such as Spark, SQL, or distributed computing platforms
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
Tips for Your ML Engineer Job Search
Quantify model impact on your resume
Recruiters scan for outcomes, not just tools. Replace 'built a recommendation model' with metrics like latency reduction, precision gains, or revenue lift. If you can't share exact figures due to confidentiality, describe the scale of the dataset or the business problem solved.
Tailor your GitHub to the posting
Before you apply, pin the repos most relevant to that job's stack. An NLP-focused team cares about your transformer experiments, not your random forest notebooks. A targeted profile signals genuine fit faster than a resume bullet ever will.
Apply early to roles that fit
Migrate Mate lists ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Decode the job level before applying
ML engineer titles vary wildly across companies. A 'senior' at a startup may expect you to own infra end-to-end, while the same title at a large tech firm may mean pure modeling work. Read the responsibilities section for scope signals, not just the title.
Prepare a system design answer for ML
Most mid-level and senior interviews include an ML system design round covering feature pipelines, serving infrastructure, and monitoring. Practice walking through a real-time inference system out loud before your first interview, not the night before your third.
Negotiate with competing offers in hand
ML compensation packages often include equity, signing bonuses, and compute credits that are more negotiable than base pay. If you're in multiple processes, time your final rounds to land offers close together so you can negotiate from a position of genuine choice.
ML Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ml engineers?
The companies hiring the most 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 technology, financial services, and healthcare, though openings appear across a broad range of industries.
How many ml engineer jobs are remote?
About 28% of ml engineer openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible engineering roles. Research and experimentation-heavy positions tend to offer the most location flexibility, while roles with heavy data infrastructure or on-premise compute requirements are more likely to require in-person work.
How do you become a ml engineer?
You typically start by building a strong foundation in Python, linear algebra, and core ML concepts through coursework or self-study, then reinforce that with hands-on projects covering supervised learning, model evaluation, and deployment. From there, gaining experience with cloud platforms and MLOps tooling, contributing to open-source projects, and building a GitHub portfolio that demonstrates end-to-end model work will make your application competitive for entry-level roles.
How do you get hired as a ml engineer with little experience?
Focus on building a portfolio of end-to-end projects that go beyond training a model to include data preprocessing, evaluation, and a deployed endpoint or API. Kaggle competitions, research assistantships, and internships in data engineering or analytics are common entry points. Applying to roles titled 'junior ml engineer' or 'machine learning associate' gives you a more realistic starting point than aiming directly at senior positions.
What does the ml engineer interview process look like?
Most ml engineer interview processes include a recruiter screen, a technical phone screen covering Python and ML fundamentals, a take-home or live coding round focused on data manipulation and model building, and a final loop with an ML system design round and behavioral interviews. Senior-level processes often include a research presentation or a deep dive into a past project, where interviewers probe your decision-making and trade-offs as much as your technical output.
Where can I find and apply to ml engineer jobs?
You can find and apply to ml engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your skills and target level, then apply directly to each listing. Migrate Mate aggregates openings in one place so you're not jumping between employer career pages to track down active postings.
See All 4,356+ ML Engineer Jobs
Jump back to the full list of openings and apply to any ML engineer role that fits.
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