ML Software Engineer Visa Sponsorship Jobs in Kansas
ML software engineer visa sponsorship jobs in Kansas are concentrated in the Kansas City metro area, where employers like Cerner (now Oracle Health), Garmin, and Sprint (now part of T-Mobile) have maintained engineering teams. Wichita's aerospace sector and university-adjacent employers near Kansas State University and the University of Kansas also generate ML hiring activity.
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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.
ML Software Engineer Job Roles in Kansas
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Search ML Software Engineer Jobs in KansasML Software Engineer Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Kansas?
Oracle Health (formerly Cerner) in Kansas City is among the most active sponsors for ML and software engineering roles in Kansas, with a large technology campus and a history of H-1B visa filings. Garmin's Olathe headquarters also sponsors engineers regularly. Smaller companies in Wichita's aerospace and defense sector, including Spirit AeroSystems, occasionally hire ML engineers for data and automation work.
Which visa types are most common for ML software engineer roles in Kansas?
The H-1B is the most common visa for ML software engineers in Kansas, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates from Australia may consider the E-3 visa. Those with an existing employer relationship may qualify for an L-1B for specialized knowledge transfers. O-1 visa petitions are less common but available for candidates with documented exceptional contributions.
Which cities in Kansas have the most ML software engineer sponsorship jobs?
The Kansas City metro area, including Overland Park and Olathe on the Kansas side, accounts for the majority of ML software engineer sponsorship activity in the state. These suburbs host technology campuses for Oracle Health, Garmin, and several financial services firms. Wichita is a secondary market with opportunities tied to aerospace and manufacturing automation. Lawrence, home to the University of Kansas, generates some ML hiring through research spin-offs and university-adjacent employers.
How to find ml software engineer visa sponsorship jobs in Kansas?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find ML software engineer roles in Kansas without sorting through postings from employers who do not sponsor. You can search by state and role type to surface active openings at Kansas employers like Oracle Health and Garmin. Migrate Mate also provides context on sponsorship history by employer, which helps prioritize applications toward companies with a verified track record of filing for ML engineering roles.
Are there any state-specific considerations for ML software engineers seeking sponsorship in Kansas?
Kansas does not impose state-level visa sponsorship requirements beyond federal H-1B obligations, but employers must file a Labor Condition Application certifying that the offered wage meets the prevailing wage for the ML software engineer role in the specific Kansas metro area. Prevailing wages in the Kansas City metro are generally lower than coastal tech markets, which can affect how employers structure compensation packages. The University of Kansas and Kansas State University both feed local ML talent pipelines, meaning some employers have established processes for sponsoring international graduates from those programs.
What is the prevailing wage for sponsored ml software 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.