Machine Learning Engineer Visa Sponsorship Jobs in Kansas
Machine learning engineer visa sponsorship jobs in Kansas are concentrated around Kansas City's growing tech sector, with employers like Cerner (now Oracle Health), Garmin, and Sprint (now T-Mobile) hiring ML talent. Wichita's aerospace and manufacturing industries are also investing in ML capabilities, and the University of Kansas and Kansas State University supply a steady pipeline of graduate-level ML candidates.
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Get Access To All JobsPosition Title
Machine Learning Engineer Principal
Location
Broadmoor Campus
Position Summary / Career Interest:
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to advance machine learning applications within a hospital setting. This role is also responsible for developing innovative algorithms and models to improve patient care, operational efficiency, and clinical outcomes. This role requires extensive expertise in machine learning, cloud deployment, and data engineering, with a strong emphasis on applied research and experimentation.
Responsibilities and Essential Job Functions
- Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications.
- Design and implement experiments to test and validate new machine learning models and techniques, focusing on improving patient care and hospital operations.
- Lead methodological research and implementation of methods to adjust for data set shift for healthcare applications.
- Collaborate with clinical staff, academic institutions, research labs, and industry partners to stay at the cutting edge of machine learning research and its applications in healthcare.
- Publish research findings in top-tier conferences and journals, and present at industry events and seminars.
- Develop and deploy state-of-the-art machine learning models using iterative development processes, based on statistical approaches and data mining techniques.
- Identify and implement the most optimal modeling techniques based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning).
- Implement highly efficient automated processes that produce modeling results at scale.
- Review current offerings and future developments in artificial intelligence and machine learning and socialize these with key stakeholders to understand needs and potential use cases in the hospital.
- Perform validation of machine learning models for accuracy and develop recommendations for enhancements based on localized data, monitor their performance post-implementation, and fine-tune for optimal results.
- Create clear documentation of workflows, methodologies used, and assumptions built in for various levels of technical expertise.
- Engage in the deployment and integration of predictive models and artificial intelligence into development and production environments within the hospital.
- Advance the department’s capabilities in technical and analytical areas by proactively building partnerships and collaborating with cross-functional teams.
- Contribute to a culture of innovation, collaboration, and continuous improvement by following the latest developments in machine learning research and technology trends.
- Able to expertly maintain existing models as well as deployment new models in both Epic and Non-Epic environments.
- Stay up to date with the latest changes from Epic to their analytics and predictive modeling applications through (e.g.) Nova Notes.
- Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
- These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.
Required Education and Experience
- Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent experience).
- 7 or more years of experience using data mining/analytical methods and associated tools such as Python, R, etc.
- 7 or more years of experience with SQL in a relational database or an equivalent combination of education and experience.
- 5 or more years of experience with various machine learning methods: unsupervised learning, semi-supervised, supervised learning, as well as anomaly detection, natural language processing and dimensionality reduction.
- 5 or more years of experience with containerization and orchestration tools such as Docker and Kubernetes.
- 5 or more years of experience with cloud computing platforms such as Azure.
- 3 or more years of experience with Nebula, Epic’s cloud computing and modeling platform.
Preferred Education and Experience
- Master's Degree in a related field OR
- Doctorate in a related field.
- Experience working with business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
- Experience with analytical documentation tools such as Jupyter Notebook.
- Experience in a relevant industry or environment.
Required Licensure and Certification
- Epic certification in 4 data model(s). If not certified, certification is required within 12 months from employment within 1 Year.
Time Type:
Full time
Job Requisition ID:
R-52607
Important information for you to know as you apply:
- The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
- The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link asktalentacquisition@kumc.edu.
- Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.
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Position Title
Machine Learning Engineer Principal
Location
Broadmoor Campus
Position Summary / Career Interest:
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to advance machine learning applications within a hospital setting. This role is also responsible for developing innovative algorithms and models to improve patient care, operational efficiency, and clinical outcomes. This role requires extensive expertise in machine learning, cloud deployment, and data engineering, with a strong emphasis on applied research and experimentation.
Responsibilities and Essential Job Functions
- Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications.
- Design and implement experiments to test and validate new machine learning models and techniques, focusing on improving patient care and hospital operations.
- Lead methodological research and implementation of methods to adjust for data set shift for healthcare applications.
- Collaborate with clinical staff, academic institutions, research labs, and industry partners to stay at the cutting edge of machine learning research and its applications in healthcare.
- Publish research findings in top-tier conferences and journals, and present at industry events and seminars.
- Develop and deploy state-of-the-art machine learning models using iterative development processes, based on statistical approaches and data mining techniques.
- Identify and implement the most optimal modeling techniques based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning).
- Implement highly efficient automated processes that produce modeling results at scale.
- Review current offerings and future developments in artificial intelligence and machine learning and socialize these with key stakeholders to understand needs and potential use cases in the hospital.
- Perform validation of machine learning models for accuracy and develop recommendations for enhancements based on localized data, monitor their performance post-implementation, and fine-tune for optimal results.
- Create clear documentation of workflows, methodologies used, and assumptions built in for various levels of technical expertise.
- Engage in the deployment and integration of predictive models and artificial intelligence into development and production environments within the hospital.
- Advance the department’s capabilities in technical and analytical areas by proactively building partnerships and collaborating with cross-functional teams.
- Contribute to a culture of innovation, collaboration, and continuous improvement by following the latest developments in machine learning research and technology trends.
- Able to expertly maintain existing models as well as deployment new models in both Epic and Non-Epic environments.
- Stay up to date with the latest changes from Epic to their analytics and predictive modeling applications through (e.g.) Nova Notes.
- Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
- These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.
Required Education and Experience
- Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent experience).
- 7 or more years of experience using data mining/analytical methods and associated tools such as Python, R, etc.
- 7 or more years of experience with SQL in a relational database or an equivalent combination of education and experience.
- 5 or more years of experience with various machine learning methods: unsupervised learning, semi-supervised, supervised learning, as well as anomaly detection, natural language processing and dimensionality reduction.
- 5 or more years of experience with containerization and orchestration tools such as Docker and Kubernetes.
- 5 or more years of experience with cloud computing platforms such as Azure.
- 3 or more years of experience with Nebula, Epic’s cloud computing and modeling platform.
Preferred Education and Experience
- Master's Degree in a related field OR
- Doctorate in a related field.
- Experience working with business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
- Experience with analytical documentation tools such as Jupyter Notebook.
- Experience in a relevant industry or environment.
Required Licensure and Certification
- Epic certification in 4 data model(s). If not certified, certification is required within 12 months from employment within 1 Year.
Time Type:
Full time
Job Requisition ID:
R-52607
Important information for you to know as you apply:
- The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
- The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link asktalentacquisition@kumc.edu.
- Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.
Need help finding the right job?
We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.
Machine Learning Engineer Job Roles in Kansas
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Search Machine Learning Engineer Jobs in KansasMachine Learning Engineer Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Kansas?
Kansas's most active visa sponsors for machine learning engineers include Oracle Health (formerly Cerner) in Kansas City, Garmin International in Olathe, and T-Mobile's regional operations. Aerospace firms in Wichita, such as Spirit AeroSystems and Textron Aviation, are increasingly hiring ML engineers for predictive maintenance and manufacturing optimization. Larger employers in finance and insurance sectors also file H-1B visa petitions for ML roles.
Which visa types are most common for machine learning engineer roles in Kansas?
The H-1B is the most common visa category for machine learning engineers in Kansas, as ML roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a closely related field. OPT and STEM OPT extensions are widely used by graduates from the University of Kansas and Kansas State University before transitioning to employer-sponsored H-1B status. Some senior roles may qualify for O-1 visa or EB-1 pathways.
How to find machine learning engineer visa sponsorship jobs in Kansas?
Migrate Mate is a dedicated platform for international job seekers looking for visa sponsorship roles, including machine learning engineer positions in Kansas. You can filter specifically by state and role to surface employers with a documented history of sponsoring ML talent. Reviewing a company's past H-1B filings through public DOL disclosure data is also a reliable way to assess sponsorship likelihood before applying.
Which cities in Kansas have the most machine learning engineer sponsorship jobs?
The Kansas City metro area, including Overland Park and Olathe, accounts for the majority of machine learning engineer sponsorship jobs in Kansas, driven by its concentration of technology, healthcare IT, and financial services employers. Wichita is a secondary hub, particularly for ML applications in aerospace and advanced manufacturing. Lawrence, home to the University of Kansas, sees some activity from university-affiliated research and startup employers.
Are there any state-specific considerations for machine learning engineers seeking visa sponsorship in Kansas?
Kansas does not have state-level visa programs, so sponsorship follows federal H-1B rules, including Department of Labor prevailing wage requirements tied to the specific metropolitan area. Machine learning engineer roles in the Kansas City metro are benchmarked against Kansas City MSA wage data, while Wichita roles use Wichita MSA figures. University of Kansas and Kansas State University STEM programs create a consistent local graduate pipeline that some Kansas employers prefer to sponsor directly through OPT-to-H-1B transitions.
What is the prevailing wage for sponsored machine learning engineer jobs in Kansas?
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.