H-1B Visa Mlops Engineer Jobs
MLOps Engineer roles qualify for H-1B sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across cloud infrastructure, fintech, and AI product companies file H-1B petitions for this role, with LCA prevailing wage levels typically falling at Level II or III under the SOC code for Software Developers.
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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 154+ 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 H-1B Visa Sponsorship as a Mlops Engineer
Match your SOC code before applying
MLOps Engineers are typically filed under Software Developers or Computer Occupations SOC codes. Check your offer letter's job duties align with the SOC code your employer plans to use, since a mismatch can trigger an RFE during adjudication.
Verify prevailing wage before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for the SOC code and location in your offer. If the offered salary falls below Level II, your employer's LCA certification is at risk, which stalls the H-1B petition entirely.
Target employers with LCA filings for ML roles
Use Migrate Mate to filter for employers with verified LCA filing history in machine learning and MLOps roles. This cuts out companies that express interest but have no demonstrated track record of H-1B sponsorship for technical AI positions.
Document cloud platform certifications before filing
USCIS scrutinizes specialty occupation for MLOps roles because the title is still relatively new. AWS, GCP, or Azure ML certifications, combined with a transcript showing relevant coursework, strengthen the specialty occupation argument in your I-129 petition.
Clarify who files the LCA with your recruiter
Some employers outsource immigration to a third-party vendor who may delay DOL LCA submission. Confirm during the offer stage that the employer will file the LCA directly or through counsel before your start date, not after onboarding begins.
Use the cap-gap window if your OPT expires mid-pipeline
If you're on OPT and your H-1B is selected in the lottery but not yet approved by October 1, the cap-gap provision automatically extends your work authorization. Confirm your employer knows to keep your start date at October 1 or later to stay within this window.
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Find Mlops Engineer JobsMlops Engineer H-1B Visa: Frequently Asked Questions
Does an MLOps Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. MLOps Engineer roles qualify as specialty occupations under H-1B rules when the position requires at least a bachelor's degree in computer science, data engineering, software engineering, or a closely related field. USCIS looks at whether the degree requirement is standard for the role in the industry, so job descriptions that list a specific technical degree as required, not preferred, are stronger petition candidates. Roles that accept any bachelor's degree regardless of field are harder to defend.
Which employers sponsor H-1B visas for MLOps Engineers?
Cloud infrastructure companies, AI product startups, financial services firms, and large tech employers are the most consistent H-1B sponsors for MLOps roles. Employers that run production ML systems at scale tend to have established immigration processes and file LCAs regularly under relevant SOC codes. Migrate Mate lets you browse MLOps Engineer roles filtered by employers with verified H-1B filing history, so you're not applying blind.
What SOC code does USCIS typically use for MLOps Engineer H-1B petitions?
Employers most commonly file MLOps Engineer petitions under the Software Developers SOC code or, in some cases, Computer Occupations. The choice affects the prevailing wage level your employer must certify on the LCA. Ask your employer's immigration counsel which SOC code they plan to use before the LCA is submitted, since switching after certification requires refiling with DOL.
Can I transfer my H-1B to a new employer if my MLOps role changes scope significantly?
Yes, you can transfer your H-1B to a new employer through H-1B portability without waiting for full approval, as long as you file the new petition while your current status is valid and you've been in lawful H-1B status for at least one year. If the new role involves a materially different job description, the new employer files a fresh I-129 petition with a new LCA rather than a simple transfer. Portability lets you start the new job once the transfer petition is filed, not after approval.
How does the H-1B lottery affect MLOps Engineers trying to plan their job search timeline?
The H-1B cap lottery opens in March each year for an October 1 start date, so MLOps Engineers on OPT need a job offer in hand by late February to be included. If you're not selected, your employer can reenter you in subsequent years or explore cap-exempt employers, such as universities and certain nonprofit research organizations, which can file H-1B petitions year-round outside the cap. O*NET lists MLOps-adjacent occupations if you need to verify job zone classification for planning purposes.
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