AI ML Engineer Visa Sponsorship Jobs in Missouri
Missouri's AI and ML engineering market is anchored by employers in financial services, healthcare, and agribusiness technology, with Kansas City and St. Louis driving most hiring activity. Companies like Cerner (Oracle Health), World Wide Technology, and Edward Jones have established technical teams that regularly seek specialized machine learning talent from international applicant pools.
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Get Access To All JobsCLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
Our Perks:
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
- Complete list of benefits
LA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.
We’re looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.
How you’ll create opportunities in this role:
- Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
- Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
- Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
- Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
- Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
- Support maintenance of documentation for MLOps processes and systems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Ensure compliance with data security and privacy regulations.
- Stay up to date with industry trends and advancements in machine learning and MLOps.
Technologies You'll Use
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Basic understanding of SQL and experience with ETL pipeline design and maintenance.
- Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
- Proficiency in programming languages such as Python.
- Knowledge of data pipeline architecture and data transformation.
- Knowledge of machine learning model deployment and management.
- Familiarity with performance monitoring and optimization techniques.
- Basic understanding of machine learning and DevOps principles.
What you will need:
- 2+ years' experience as a Data/ML Engineer
- Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
CLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
Our Perks:
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
- Complete list of benefits
LA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.
We’re looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.
How you’ll create opportunities in this role:
- Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
- Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
- Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
- Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
- Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
- Support maintenance of documentation for MLOps processes and systems.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Ensure compliance with data security and privacy regulations.
- Stay up to date with industry trends and advancements in machine learning and MLOps.
Technologies You'll Use
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Basic understanding of SQL and experience with ETL pipeline design and maintenance.
- Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
- Proficiency in programming languages such as Python.
- Knowledge of data pipeline architecture and data transformation.
- Knowledge of machine learning model deployment and management.
- Familiarity with performance monitoring and optimization techniques.
- Basic understanding of machine learning and DevOps principles.
What you will need:
- 2+ years' experience as a Data/ML Engineer
- Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
AI ML Engineer Job Roles in Missouri
See all 168+ AI ML Engineer Jobs in Missouri
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Search AI ML Engineer Jobs in MissouriAI ML Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Missouri?
Missouri's most active visa sponsors for AI and ML engineering roles include Oracle Health (formerly Cerner) in Kansas City, World Wide Technology in St. Louis, and Mastercard's technology division. Large enterprises in financial services, healthcare IT, and enterprise software tend to have established immigration programs and HR infrastructure to support H-1B visa petitions, making them more reliable sponsorship partners than smaller startups in the state.
Which visa types are most common for AI ML engineer roles in Missouri?
The H-1B is the most common visa category for AI and ML engineers in Missouri, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability or a strong publication record may also explore the O-1A. Those already in the U.S. on F-1 OPT or STEM OPT frequently use that period to secure H-1B sponsorship through Missouri employers.
Which cities in Missouri have the most AI ML engineer sponsorship jobs?
Kansas City and St. Louis account for the vast majority of AI and ML engineering sponsorship opportunities in Missouri. Kansas City benefits from a strong healthcare IT presence anchored by Oracle Health, while St. Louis draws from its financial services sector, cybersecurity firms like World Wide Technology, and a growing startup scene. Columbia and Springfield have smaller but emerging tech communities, often connected to university research pipelines at the University of Missouri.
How to find ai ml engineer visa sponsorship jobs in Missouri?
Migrate Mate is built specifically for international candidates searching for visa-sponsored AI and ML engineer roles, including positions filtered by state. You can browse Missouri-specific listings on Migrate Mate to identify employers actively seeking sponsored candidates in Kansas City and St. Louis. Because sponsorship willingness varies widely between companies, using a platform that surfaces verified sponsoring employers saves significant research time compared to general job searches.
Are there any state-specific considerations for AI ML engineers pursuing sponsorship in Missouri?
Missouri does not have a state income tax structure that significantly affects sponsorship decisions, but employers filing H-1B petitions must meet Department of Labor prevailing wage requirements for the specific metropolitan statistical area, which differ between the Kansas City and St. Louis metro regions. University pipelines from Washington University in St. Louis and the University of Missouri in Columbia also create a steady flow of OPT-eligible candidates, which means Missouri employers are generally familiar with international hiring processes.
What is the prevailing wage for sponsored ai 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.