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 JobsINTRODUCTION
bioMerieux’s Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics.
The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization.
The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required.
The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
PRIMARY DUTIES
- Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
- Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
- Mentoring others in the department on technology, methods and programming language utilization
- Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
- Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
- Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
- Performance of statistical analysis to interpret experimental results
- Design experimental methods and plans to generate results that drive critical product design selections
- Independent Development and implementation of algorithms using global software development tools, methodologies and processes
- Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
- Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
- Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
- Perform all work in compliance with company quality procedures and standards
- Perform other duties as assigned
QUALIFICATIONS
Required Education, Training, and Experience
- Bachelor degree required — Data Science, Applied Mathematics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering
- 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming experience with Python or R, Code samples to be provided upon request
Preferred Education, Training, and Experience
- Masters or PhD preferred
- Work Experience in ISO or FDA regulated environment preferred
KNOWLEDGE, SKILLS, AND ABILITIES (KSAs)
- Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes
- Effective Presentation Skills - including the ability to present technical data
- Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement
- Critical thinking, using logic and reason to analyze information and make decisions in the workplace
- Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives
- Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel
SUPERVISORY RESPONSIBILITIES (SUMMARY)
- Direct supervision: 0
- Indirect supervision: 0
- Decision-making scope:
- Short-term operational/tactical decisions with little-to-no supervisory review
- Long-term strategic decisions require supervisory approval
WORKING CONDITIONS (SUMMARY)
- Ability to remain in a stationary position for prolonged periods — Yes
- Ability to wear PPE correctly most of the day — Yes
- Typical office setting
- Domestic travel: 10%
- International travel: 0%
- Total travel: 10%
The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer.
In addition, bioMérieux offers a competitive Total Rewards package that may include:
- A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
- Company-Provided Life and Accidental Death Insurance
- Short and Long-Term Disability Insurance
- Retirement Plan including a generous non-discretionary employer contribution and employer match
- Adoption Assistance
- Wellness Programs
- Employee Assistance Program
- Commuter Benefits
- Various voluntary benefit offerings
- Discount programs
- Parental leaves
LI-JR1
INTRODUCTION
bioMerieux’s Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics.
The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization.
The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required.
The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
PRIMARY DUTIES
- Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
- Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
- Mentoring others in the department on technology, methods and programming language utilization
- Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
- Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
- Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
- Performance of statistical analysis to interpret experimental results
- Design experimental methods and plans to generate results that drive critical product design selections
- Independent Development and implementation of algorithms using global software development tools, methodologies and processes
- Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
- Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
- Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
- Perform all work in compliance with company quality procedures and standards
- Perform other duties as assigned
QUALIFICATIONS
Required Education, Training, and Experience
- Bachelor degree required — Data Science, Applied Mathematics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering
- 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming experience with Python or R, Code samples to be provided upon request
Preferred Education, Training, and Experience
- Masters or PhD preferred
- Work Experience in ISO or FDA regulated environment preferred
KNOWLEDGE, SKILLS, AND ABILITIES (KSAs)
- Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes
- Effective Presentation Skills - including the ability to present technical data
- Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement
- Critical thinking, using logic and reason to analyze information and make decisions in the workplace
- Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives
- Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel
SUPERVISORY RESPONSIBILITIES (SUMMARY)
- Direct supervision: 0
- Indirect supervision: 0
- Decision-making scope:
- Short-term operational/tactical decisions with little-to-no supervisory review
- Long-term strategic decisions require supervisory approval
WORKING CONDITIONS (SUMMARY)
- Ability to remain in a stationary position for prolonged periods — Yes
- Ability to wear PPE correctly most of the day — Yes
- Typical office setting
- Domestic travel: 10%
- International travel: 0%
- Total travel: 10%
The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer.
In addition, bioMérieux offers a competitive Total Rewards package that may include:
- A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
- Company-Provided Life and Accidental Death Insurance
- Short and Long-Term Disability Insurance
- Retirement Plan including a generous non-discretionary employer contribution and employer match
- Adoption Assistance
- Wellness Programs
- Employee Assistance Program
- Commuter Benefits
- Various voluntary benefit offerings
- Discount programs
- Parental leaves
LI-JR1
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.