ML Engineer Visa Sponsorship Jobs in Missouri
Missouri's ML engineer hiring is anchored by financial services firms in St. Louis, health tech companies like Centene and Express Scripts, and a growing startup ecosystem in Kansas City. Employers across both cities sponsor H-1B and other work visas for qualified ML engineers, particularly in healthcare AI, data infrastructure, and enterprise software.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
AI Solution Design & Prototyping
- Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
- Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
- Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
Production Engineering & Enterprise Readiness
- Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
- Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
- Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
Model Enablement & Evaluation
- Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
- Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
- Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
Reusable Components & Engineering Excellence
- Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
- Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
- Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
BASIC QUALIFICATIONS
- 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.
- 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls).
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
- Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
- Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
- Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
- Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience).
PAY RANGE
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/21/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
ML Engineer Job Roles in Missouri
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Search ML Engineer Jobs in MissouriML Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for ML engineers?
St. Louis-based employers including Centene, Express Scripts (now part of Evernorth), Edward Jones, and World Wide Technology have filed H-1B petitions for machine learning and data science roles. In Kansas City, companies in fintech, logistics, and health tech have also sponsored ML engineers. Large enterprise employers and healthcare technology firms represent the most consistent sponsorship activity in the state.
Which visa types are most common for ML engineer roles in Missouri?
The H-1B is the most commonly used visa for ML engineers in Missouri, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, mathematics, or a related field. Candidates already authorized under OPT or STEM OPT extensions often transition to H-1B sponsorship through Missouri employers. The O-1A is an option for ML engineers with demonstrated exceptional ability, though it requires substantial supporting documentation.
Which cities in Missouri have the most ML engineer visa sponsorship jobs?
St. Louis accounts for the largest share of ML engineering sponsorship activity in Missouri, driven by its concentration of healthcare, financial services, and enterprise technology employers. Kansas City is the second major hub, with growing activity in logistics technology, financial services, and digital health. Outside these two metros, sponsorship opportunities are limited, so most international ML engineers focus their search on St. Louis and Kansas City.
How to find ml engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML engineer roles in Missouri where employers are actively open to sponsoring. Rather than sorting through general job boards and guessing at sponsorship willingness, Migrate Mate surfaces Missouri-based ML engineer positions from employers with a history of sponsoring international candidates, saving significant time in the search process.
Are there state-specific factors ML engineers should know when targeting Missouri sponsorship jobs?
Missouri has notable university pipelines feeding ML talent into industry, including Washington University in St. Louis and the University of Missouri system, which means employers in the state are familiar with OPT and STEM OPT candidates. Healthcare AI is a particularly active hiring segment in St. Louis given the density of major health insurers and pharmacy benefit managers headquartered there. Employers in this sector routinely file H-1B petitions, making the healthcare technology space a strong focus area for ML engineers seeking sponsorship in Missouri.
What is the prevailing wage for sponsored ml engineer jobs in Missouri?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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