Mlops Engineer Jobs in USA with Visa Sponsorship
MLOps Engineer roles are among the most actively sponsored positions in the U.S. tech industry, with employers regularly filing H-1B visa petitions for qualified candidates. Most openings require a degree in computer science, data science, or a related engineering field to meet specialty occupation standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for Air Force Agentic Systems.
Join us. The world can’t wait.
YOU HAVE:
- Experience deploying production-grade ML models
- Experience with data ingestion and model output
- Knowledge of MLOps Frameworks and container systems, such as Kubernetes or Docker
- HS diploma or GED
COMPENSATION
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
IDENTITY STATEMENT
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
CANDIDATE AI USAGE POLICY
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
WORK MODEL
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
COMMITMENT TO NON-DISCRIMINATION
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
INTRODUCTION
As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for Air Force Agentic Systems.
Join us. The world can’t wait.
YOU HAVE:
- Experience deploying production-grade ML models
- Experience with data ingestion and model output
- Knowledge of MLOps Frameworks and container systems, such as Kubernetes or Docker
- HS diploma or GED
COMPENSATION
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
IDENTITY STATEMENT
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
CANDIDATE AI USAGE POLICY
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
WORK MODEL
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
COMMITMENT TO NON-DISCRIMINATION
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
See all 184+ Mlops Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Mlops Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Mlops Engineer
Target companies with a proven H-1B filing history
Large tech employers and AI-focused startups file H-1B petitions for MLOps roles at high rates. Focusing your search on companies with consistent sponsorship records significantly improves your odds of receiving a petition before the lottery.
Make sure your degree field aligns with the role
USCIS treats MLOps as a specialty occupation requiring a degree in computer science, data engineering, or a related technical field. A business or unrelated degree, even with strong experience, can complicate your petition and invite a Request for Evidence.
Get proficient with the full MLOps toolchain
Employers filing H-1B petitions for MLOps Engineers typically list specific tools like Kubernetes, MLflow, Kubeflow, and CI/CD pipelines in LCAs. Demonstrating hands-on experience with these tools strengthens both your candidacy and the specialty occupation argument.
Understand cap-exempt employer opportunities
Universities, nonprofit research institutions, and affiliated organizations are exempt from the H-1B lottery cap. MLOps roles at these employers can be filed any time of year, giving candidates who miss the lottery a practical alternative path to status.
Consider the O-1A visa if you have recognized research contributions
MLOps Engineers with published papers, conference presentations, open-source project recognition, or roles at cutting-edge AI labs may qualify for the O-1A. It has no annual cap and no lottery, making it a strong fallback for high-achieving candidates.
Browse Migrate Mate for roles filtered by sponsorship availability
Not every job listing makes sponsorship eligibility clear upfront. Migrate Mate surfaces MLOps Engineer openings from employers actively willing to sponsor, saving you from applying to roles where sponsorship was never on the table.
Mlops Engineer jobs are hiring across the US. Find yours.
Find Mlops Engineer JobsFrequently Asked Questions
Does MLOps Engineer qualify as a specialty occupation for H-1B purposes?
Yes, MLOps Engineer consistently qualifies as a specialty occupation under USCIS standards. The role requires theoretical and practical application of computer science, machine learning systems design, and software engineering, all of which demand at minimum a bachelor's degree in a directly related field. Approval rates for software and ML engineering roles remain among the highest across H-1B petitions.
What degree do I need for an employer to sponsor my H-1B as an MLOps Engineer?
A bachelor's degree or higher in computer science, data science, machine learning, electrical engineering, or a closely related technical discipline is the standard requirement. Degrees in unrelated fields, even combined with relevant experience, can weaken the specialty occupation argument. If your degree is in a tangential area, an attorney can assess whether your coursework and experience still support the petition.
How competitive is H-1B sponsorship for MLOps Engineers compared to other tech roles?
MLOps is a high-demand specialization, and employers filing for these roles tend to be well-resourced companies familiar with the sponsorship process. That said, all cap-subject H-1B petitions still go through the same lottery. In recent fiscal years, selection rates have hovered around 20 to 30 percent, so candidates benefit from targeting multiple employers and exploring cap-exempt alternatives simultaneously.
Can I get sponsored as an MLOps Engineer if I'm currently on OPT or STEM OPT?
Yes, and this is one of the most common paths. If you're on F-1 OPT, your employer files an H-1B petition in March for an October 1 start. STEM OPT extensions give computer science and engineering graduates up to three additional years of work authorization, providing a meaningful runway to secure sponsorship even if you miss the first lottery cycle.
Where can I find MLOps Engineer jobs where employers are open to sponsorship?
Migrate Mate is built specifically for international candidates seeking sponsored roles. You can browse MLOps Engineer openings filtered by employers willing to sponsor work visas, which removes the friction of discovering mid-process that a company won't file a petition. This is especially useful for candidates who need to move quickly due to OPT or grace period deadlines.
What is the prevailing wage requirement for sponsored 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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