ML Software Engineer Visa Sponsorship Jobs in Missouri
Missouri's ML software engineer hiring is anchored by employers like Boeing, Mastercard, and major health systems in St. Louis, alongside a growing Kansas City tech scene. Companies here actively seek machine learning talent, and many have established H-1B visa sponsorship programs. Roles span finance, aerospace, and healthcare AI, giving international candidates meaningful industry variety.
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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 Software Engineer Job Roles in Missouri
See all 168+ ML Software Engineer Jobs in Missouri
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Search ML Software Engineer Jobs in MissouriML Software Engineer Jobs in Missouri: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Missouri?
St. Louis employers including Mastercard, Boeing, and Centene have consistent H-1B filing histories for machine learning and software engineering roles. In Kansas City, Cerner (now Oracle Health) and Garmin also appear in DOL disclosure data for sponsored tech positions. Larger enterprises with dedicated ML teams are generally more likely to have established sponsorship processes than early-stage startups.
Which visa types are most common for ML software engineer roles in Missouri?
The H-1B is by far the most common visa for ML software engineers in Missouri, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. OPT and STEM OPT extensions are also widely used by graduates from Missouri S&T, Washington University in St. Louis, and other in-state programs while awaiting H-1B sponsorship.
How to find ml software engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse ML software engineer roles in Missouri without sorting through positions that don't offer sponsorship. You can search by location and role type to surface employers in St. Louis and Kansas City who are actively hiring international candidates for machine learning positions, saving significant time compared to general job searches.
Which cities in Missouri have the most ML software engineer sponsorship jobs?
St. Louis is Missouri's primary hub for sponsored ML engineering roles, driven by its concentration of Fortune 500 headquarters in finance, healthcare, and aerospace. Kansas City is a secondary but growing market, particularly in fintech and enterprise software. Columbia has a smaller but present tech community linked to the University of Missouri, though sponsored ML roles there are less frequent than in the two major metros.
Are there state-specific considerations for ML software engineers pursuing sponsorship in Missouri?
Missouri does not have state-level immigration programs, so sponsorship depends entirely on federal visa categories. One practical factor: Missouri's relatively lower cost of living compared to coastal tech hubs means prevailing wage requirements for H-1B petitions may be met at lower absolute figures, which can make sponsorship more accessible for employers. University pipelines from Washington University in St. Louis and Missouri S&T supply ML talent that many local employers are familiar with sponsoring.
What is the prevailing wage for sponsored ml software 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.