Machine Learning Engineer Visa Sponsorship Jobs in Missouri
Missouri's machine learning engineer market is anchored by employers in St. Louis and Kansas City, including major players in healthcare IT, financial services, and defense contracting such as Express Scripts, Cerner, and Boeing. Companies across these sectors actively hire for ML roles and have established records of sponsoring H-1B visa and other work visas for qualified international candidates.
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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.
Machine Learning Engineer Job Roles in Missouri
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Search Machine Learning Engineer Jobs in MissouriMachine Learning Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Missouri?
St. Louis and Kansas City host the state's most active sponsors for machine learning engineers. Companies like Cerner (now part of Oracle Health), Boeing, Express Scripts, and Mastercard's Kansas City operations have filed H-1B petitions for ML and data science roles. Larger employers with dedicated technology divisions are generally more experienced with visa sponsorship than smaller startups in the state.
Which visa types are most common for machine learning engineer roles in Missouri?
The H-1B is the most common visa for machine learning engineers in Missouri, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT through Missouri universities like Washington University in St. Louis or Missouri University of Science and Technology may transition to H-1B sponsorship through an employer petition.
Which cities in Missouri have the most machine learning engineer sponsorship jobs?
St. Louis accounts for the largest concentration of machine learning engineer roles with visa sponsorship in Missouri, driven by its healthcare IT, financial services, and aerospace sectors. Kansas City is a secondary hub with growing activity in fintech and enterprise software. Columbia has a smaller but emerging presence connected to the University of Missouri's research and technology ecosystem.
How to find machine learning engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify Missouri employers actively seeking machine learning engineers and willing to sponsor. Rather than sorting through general job boards, you can search directly for ML engineer roles in Missouri on Migrate Mate and see which companies have a documented history of sponsoring international candidates in technical roles.
Are there any state-specific considerations for machine learning engineers seeking sponsorship in Missouri?
Missouri does not impose state-level restrictions on work visa sponsorship, so federal H-1B rules govern the process. One practical factor is the university pipeline: institutions like Washington University in St. Louis and Missouri S&T produce ML talent and maintain industry partnerships, which can influence which local employers are accustomed to hiring and sponsoring international graduates. Employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements for the St. Louis or Kansas City metropolitan areas, depending on job location.
What is the prevailing wage for sponsored machine learning 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.