ML Engineer Visa Sponsorship Jobs in Nevada
Nevada's ML engineer hiring is concentrated in Las Vegas and Reno, driven by casino analytics, hospitality tech giants like MGM Resorts and Caesars Entertainment, and a growing data center corridor. Gaming companies have built substantial machine learning teams, and remote-friendly tech firms increasingly list Nevada roles, making visa sponsorship a realistic part of the hiring conversation.
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Get Access To All JobsINTRODUCTION
The SHOW comes alive at MGM Resorts International.
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
We are seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines that power real-world business impact.
In this role, you will partner closely with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready, performant, secure, and scalable across cloud platforms. You will automate and operationalize the full machine learning lifecycle, from data ingestion through retraining, while establishing best practices, governance frameworks, and enterprise standards for Artificial Intelligence and Machine Learning Operations.
This is a highly visible individual contributor role that combines hands-on engineering with strategic influence across various initiatives.
THE DAY-TO-DAY:
- Design, build, and operate end-to-end machine learning and artificial intelligence pipelines supporting batch, streaming, and real-time inference use cases
- Automate the full machine learning lifecycle including ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
- Implement CI/CD pipelines for machine learning systems with automated testing, validation gates, and controlled model promotion
- Develop orchestration workflows using tools such as Airflow, Kubeflow, and MLflow for experiment tracking and governance
- Optimize artificial intelligence workloads for performance, scalability, and cost efficiency using distributed compute and cloud-native services
- Establish monitoring and observability frameworks including performance metrics, data quality checks, drift detection, and bias monitoring
- Design automated retraining strategies including trigger-based, schedule-based, and performance-based refresh cycles
- Create repeatable prompting frameworks and artificial intelligence guardrails to support safe and effective AI-assisted development
- Implement access controls, secrets management, compliance standards, and security best practices across machine learning and artificial intelligence platforms
- Evaluate and operationalize emerging artificial intelligence technologies and vendor tools, identifying measurable business value
- Mentor engineers and data scientists on Machine Learning Operations best practices and influence enterprise-wide architectural standards
THE IDEAL CANDIDATE:
- 5+ years of prior relevant experience in machine learning or artificial intelligence engineering, Data Science, or Analytics Engineering
- Bachelor’s degree in Computer Science, Data Engineering, or related field required
- Deep experience with machine learning and artificial intelligence pipeline development and full lifecycle automation
- Demonstrated ability to provide technical leadership in Machine Learning Operations strategies and pipeline standardization
- Proven impact on improving reliability, scalability, and efficiency of machine learning and artificial intelligence solutions
- Strong proficiency in Python and PySpark
- Experience designing and implementing CI/CD for machine learning workflows, including version control systems such as Git and DVC
- Experience with monitoring, logging, drift detection, and automated retraining frameworks
- Experience with cloud platforms such as Databricks, AWS, GCP, or Azure
- Proficiency in containerization and orchestration including Docker and Kubernetes
- Experience with orchestration and lifecycle management tools such as Airflow, Kubeflow, MLflow, or similar platforms
- Experience guiding teams on artificial intelligence automation best practices
- Experience supporting marketing, revenue, or operations analytics teams preferred
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks preferred
THE PERKS & BENEFITS:
- Prioritize your wellness, access programs crafted to nurture your mental and physical health.
- Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
- Savor delicious meals for free in our employee dining room.
- Park with ease—whether you're on or off shift, it's free!
- From healthcare to financial support and generous time-off options, we’ve got you covered.
- Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.
Pay Range:
The pay range for this role is:
$130,100.00 - $173,500.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company’s incentive plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!
LOCATION:
US, Texas
INTRODUCTION
The SHOW comes alive at MGM Resorts International.
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
We are seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines that power real-world business impact.
In this role, you will partner closely with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready, performant, secure, and scalable across cloud platforms. You will automate and operationalize the full machine learning lifecycle, from data ingestion through retraining, while establishing best practices, governance frameworks, and enterprise standards for Artificial Intelligence and Machine Learning Operations.
This is a highly visible individual contributor role that combines hands-on engineering with strategic influence across various initiatives.
THE DAY-TO-DAY:
- Design, build, and operate end-to-end machine learning and artificial intelligence pipelines supporting batch, streaming, and real-time inference use cases
- Automate the full machine learning lifecycle including ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
- Implement CI/CD pipelines for machine learning systems with automated testing, validation gates, and controlled model promotion
- Develop orchestration workflows using tools such as Airflow, Kubeflow, and MLflow for experiment tracking and governance
- Optimize artificial intelligence workloads for performance, scalability, and cost efficiency using distributed compute and cloud-native services
- Establish monitoring and observability frameworks including performance metrics, data quality checks, drift detection, and bias monitoring
- Design automated retraining strategies including trigger-based, schedule-based, and performance-based refresh cycles
- Create repeatable prompting frameworks and artificial intelligence guardrails to support safe and effective AI-assisted development
- Implement access controls, secrets management, compliance standards, and security best practices across machine learning and artificial intelligence platforms
- Evaluate and operationalize emerging artificial intelligence technologies and vendor tools, identifying measurable business value
- Mentor engineers and data scientists on Machine Learning Operations best practices and influence enterprise-wide architectural standards
THE IDEAL CANDIDATE:
- 5+ years of prior relevant experience in machine learning or artificial intelligence engineering, Data Science, or Analytics Engineering
- Bachelor’s degree in Computer Science, Data Engineering, or related field required
- Deep experience with machine learning and artificial intelligence pipeline development and full lifecycle automation
- Demonstrated ability to provide technical leadership in Machine Learning Operations strategies and pipeline standardization
- Proven impact on improving reliability, scalability, and efficiency of machine learning and artificial intelligence solutions
- Strong proficiency in Python and PySpark
- Experience designing and implementing CI/CD for machine learning workflows, including version control systems such as Git and DVC
- Experience with monitoring, logging, drift detection, and automated retraining frameworks
- Experience with cloud platforms such as Databricks, AWS, GCP, or Azure
- Proficiency in containerization and orchestration including Docker and Kubernetes
- Experience with orchestration and lifecycle management tools such as Airflow, Kubeflow, MLflow, or similar platforms
- Experience guiding teams on artificial intelligence automation best practices
- Experience supporting marketing, revenue, or operations analytics teams preferred
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks preferred
THE PERKS & BENEFITS:
- Prioritize your wellness, access programs crafted to nurture your mental and physical health.
- Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
- Savor delicious meals for free in our employee dining room.
- Park with ease—whether you're on or off shift, it's free!
- From healthcare to financial support and generous time-off options, we’ve got you covered.
- Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.
Pay Range:
The pay range for this role is:
$130,100.00 - $173,500.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company’s incentive plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!
LOCATION:
US, Texas
ML Engineer Job Roles in Nevada
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Search ML Engineer Jobs in NevadaML Engineer Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Nevada?
MGM Resorts International, Caesars Entertainment, and Switch (a major data center operator headquartered in Las Vegas) have filed H-1B visa Labor Condition Applications for machine learning and data science roles. Gaming technology companies including Everi and Scientific Games also appear in DOL disclosure data for technical positions. Beyond hospitality tech, Amazon Web Services has a Nevada presence tied to its data center infrastructure, and remote-first tech employers hiring Nevada-based ML engineers have also sponsored visas.
Which visa types are most common for ML engineer roles in Nevada?
The H-1B is the most common visa category for ML engineers in Nevada, as machine learning engineering typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT through a U.S. university can work while an employer files an H-1B petition. Nationals from Australia may qualify for the E-3 visa, and Canadians and Mexicans may qualify for the TN visa under the computer systems analyst category.
Which cities in Nevada have the most ML engineer sponsorship jobs?
Las Vegas accounts for the large majority of Nevada's ML engineer sponsorship activity, driven by casino resort conglomerates, hospitality analytics teams, and the expanding tech corridor around the Las Vegas metro. Reno is a secondary market with growing activity tied to Tesla's Gigafactory, data center operators attracted by Nevada's favorable energy costs, and remote engineering roles listed under Reno addresses. Henderson, as part of the greater Las Vegas valley, also appears in LCA filings from gaming and fintech employers.
How to find ml engineer visa sponsorship jobs in Nevada?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML engineer roles in Nevada without sorting through positions that don't support work authorization. The platform covers employers across Las Vegas, Reno, and Henderson, including casino tech companies and data center operators known to sponsor. Filtering by Nevada and ML engineer on Migrate Mate surfaces roles where sponsorship is part of the hiring process, saving significant time compared to unfiltered job searches.
Are there any state-specific considerations for ML engineers seeking sponsorship in Nevada?
Nevada has no state income tax, which affects prevailing wage comparisons since the DOL's wage determinations for Las Vegas and Reno metro areas are set independently from higher-cost markets. Employers must still meet the LCA prevailing wage floor for the specific location, so wages for Nevada-based roles may differ from equivalent positions in San Francisco or Seattle. Nevada's gaming industry also creates ML specializations around fraud detection, player behavior modeling, and real-time odds systems, which can strengthen a specialty occupation argument for H-1B petitions when the role requires advanced statistical or ML expertise.
What is the prevailing wage for sponsored ml engineer jobs in Nevada?
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.