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 visa 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 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.
ML Engineer Job Roles in Missouri
See all 168+ ML Engineer Jobs 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.