Senior Mlops Engineer Jobs in USA with Visa Sponsorship
Senior MLOps Engineers are strong candidates for H-1B visa and O-1 visa sponsorship. The role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field, and employers routinely sponsor across both cap-subject and cap-exempt pathways. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Kforce has a client in need of a Senior MLOps Engineer in Cincinnati, OH.
Responsibilities
- Design, build, and deploy ML product features in collaboration with Product and ML Research teams
- Own the technical delivery, reliability, and performance of production ML products
- Contribute to shared ML platform tooling and MLOps best practices
- Maintain and improve CI/CD pipelines, testing, monitoring, and logging
- Perform code reviews to ensure quality, standards, and knowledge sharing
- Drive continuous improvement by reducing technical debt and scaling systems
- Lead pre-release testing and coordinate smooth production releases
- Provide technical leadership, mentorship, and cross-team collaboration while proactively removing blockers and driving outcomes
REQUIREMENTS
- 5+ years of experience as an ML/MLOps Engineer with production systems
- Hands-on ML model deployment and production API integration
- Strong Python skills and ML/data libraries
- Experience with containers, orchestration, and AWS
- CI/CD pipeline development and operation (Jenkins preferred)
- Low-latency, real-time data stores (e.g., DynamoDB)
- Monitoring, troubleshooting, and optimizing ML systems
- Release testing and production readiness
- Ability to work independently in ambiguous environments
- Strong communication and cross-functional collaboration
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
INTRODUCTION
Kforce has a client in need of a Senior MLOps Engineer in Cincinnati, OH.
Responsibilities
- Design, build, and deploy ML product features in collaboration with Product and ML Research teams
- Own the technical delivery, reliability, and performance of production ML products
- Contribute to shared ML platform tooling and MLOps best practices
- Maintain and improve CI/CD pipelines, testing, monitoring, and logging
- Perform code reviews to ensure quality, standards, and knowledge sharing
- Drive continuous improvement by reducing technical debt and scaling systems
- Lead pre-release testing and coordinate smooth production releases
- Provide technical leadership, mentorship, and cross-team collaboration while proactively removing blockers and driving outcomes
REQUIREMENTS
- 5+ years of experience as an ML/MLOps Engineer with production systems
- Hands-on ML model deployment and production API integration
- Strong Python skills and ML/data libraries
- Experience with containers, orchestration, and AWS
- CI/CD pipeline development and operation (Jenkins preferred)
- Low-latency, real-time data stores (e.g., DynamoDB)
- Monitoring, troubleshooting, and optimizing ML systems
- Release testing and production readiness
- Ability to work independently in ambiguous environments
- Strong communication and cross-functional collaboration
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Mlops Engineer
Target cap-exempt employers first
Universities, nonprofit research institutions, and affiliated organizations can file H-1B petitions outside the annual lottery. For MLOps roles, these employers often run ML infrastructure teams and sponsor year-round without the April cap-subject filing window.
Document your specialized tech stack
USCIS approves H-1B petitions when the role requires a specific degree field. List every tool you work with, such as Kubeflow, MLflow, or Vertex AI, and connect each to how it demands specialized academic training beyond a general computer science background.
Use O-1A as a backup if you have a strong record
If you have published research, conference presentations, open-source contributions with significant adoption, or awards in machine learning, you may qualify for O-1A extraordinary ability. There is no lottery and no annual cap for this category.
Ask about L-1A and L-1B eligibility if you have an overseas employer
If your current employer has a U.S. office, an L-1B intracompany transfer for specialized knowledge is often faster than H-1B. MLOps engineers with proprietary internal platform knowledge frequently qualify. No lottery and no prevailing wage requirement for L-1B.
Clarify sponsorship scope during the offer stage
Some employers cover only the I-129 filing fee, not premium processing or legal fees. Confirm in writing what the employer will pay and whether they will support green card sponsorship after one year, which is common for senior engineering roles.
Browse verified sponsoring employers on Migrate Mate
Not every job listing makes sponsorship status obvious. Migrate Mate filters roles by verified sponsorship willingness, so you can focus applications on Senior MLOps positions where the employer has an active track record of filing H-1B petitions.
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Find Senior Mlops Engineer JobsFrequently Asked Questions
Does a Senior MLOps Engineer role qualify as an H-1B specialty occupation?
Yes. Senior MLOps Engineer consistently qualifies as a specialty occupation because the position normally requires at least a bachelor's degree in computer science, software engineering, or a closely related field. USCIS looks at whether the degree requirement is standard for the industry. DOL LCA disclosure data shows thousands of approved H-1B petitions under MLOps and related ML infrastructure titles each year, confirming that employers and adjudicators treat the role as qualifying.
What degree do I need for H-1B sponsorship as an MLOps Engineer?
A bachelor's degree or higher in computer science, software engineering, mathematics, or a directly related technical field is the standard requirement. A degree in an unrelated field, even combined with strong MLOps experience, can complicate approval because USCIS requires the degree field to correspond to the role's duties. If your degree is adjacent rather than exact, an immigration attorney can build a theoretical argument using coursework relevance, but it adds risk. Equivalent experience, at the ratio of three years of work per one year of education, may substitute for a degree in some cases.
How likely is H-1B approval for an MLOps Engineer, and what are the main denial risks?
Approval rates for software and ML engineering roles are high relative to other occupations, but Requests for Evidence remain common when job duties are broadly written or the degree field is ambiguous. The most frequent RFE trigger for MLOps roles is a job description that reads as general software development rather than specialized ML infrastructure. Petitions with detailed duty descriptions linking specific tools and workflows to degree-level knowledge fare significantly better. Premium processing, which currently adjudicates within 15 business days, reduces uncertainty and is worth requesting for senior hires.
Where can I find Senior MLOps Engineer jobs that sponsor visas?
Migrate Mate is the recommended starting point. The platform lists Senior MLOps Engineer roles from employers with a verified sponsorship track record, so you are not guessing at sponsorship willingness from a standard job posting. Large tech companies, cloud platform teams at AWS, Google, and Microsoft, as well as AI-focused startups with institutional backing, are the most active sponsors in this category. Filtering by sponsorship status before applying saves significant time during a job search.
Can I stay in the U.S. and change MLOps employers if my H-1B is already approved?
Yes, H-1B portability allows you to start work with a new employer as soon as the new H-1B petition is filed, without waiting for approval, provided you have been in valid H-1B status and the new petition is non-frivolous. Your new employer files a fresh I-129 petition. You do not re-enter the lottery if you already hold H-1B status. This makes senior engineering roles with multiple competing offers more flexible than many candidates realize.
What is the prevailing wage requirement for sponsored Senior Mlops Engineer jobs?
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.
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