Machine Learning Visa Sponsorship Jobs in Nevada
Nevada's machine learning job market centers on Las Vegas and Reno, where gaming analytics firms, MGM Resorts, Caesars Entertainment, and a growing tech corridor around the Switch data campus drive ML hiring. Several employers in these industries sponsor H-1B visa and other work visas for qualified machine learning engineers, data scientists, and AI researchers.
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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
Machine Learning Job Roles in Nevada
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Search Machine Learning Jobs in NevadaMachine Learning Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Nevada?
The most active sponsors of machine learning talent in Nevada include large gaming and hospitality corporations such as MGM Resorts International and Caesars Entertainment, which invest in ML for customer analytics and fraud detection. Data infrastructure companies operating near the Reno-Sparks tech corridor, including Switch and its ecosystem partners, also appear in H-1B disclosure records for ML and AI-adjacent roles.
Which visa types are most common for machine learning roles in Nevada?
The H-1B is the most common visa category for machine learning positions in Nevada, as ML engineer and data scientist roles generally qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary achievement may also qualify for the O-1A. Australians holding an E-3 visa are eligible for any Nevada employer willing to sponsor, and the E-3 has no lottery.
Which cities in Nevada have the most machine learning sponsorship jobs?
Las Vegas accounts for the largest share of machine learning sponsorship activity in Nevada, driven by the hospitality and gaming sector's investment in predictive analytics, personalization, and operational AI. Reno is the second-largest hub, anchored by data center operations and a small but growing startup scene connected to the University of Nevada, Reno's computer science and engineering programs.
How to find machine learning visa sponsorship jobs in Nevada?
Migrate Mate filters job listings specifically for roles that offer visa sponsorship, making it easier to identify machine learning positions in Nevada without sorting through companies that don't sponsor. You can search by role type and state to surface relevant openings from Nevada employers in gaming, data infrastructure, and enterprise technology. Migrate Mate is built for international candidates navigating the U.S. job market.
Are there state-specific considerations for machine learning candidates seeking sponsorship in Nevada?
Nevada has no state income tax, which affects prevailing wage comparisons when employers file Labor Condition Applications with the Department of Labor. ML roles in Nevada are often benchmarked against Las Vegas or Reno metro wage data rather than national figures, so offered salaries may differ from coastal tech markets. The University of Nevada system also produces ML talent that local employers recruit, meaning competition for sponsored roles can be concentrated among candidates with strong applied research backgrounds.
What is the prevailing wage for sponsored machine learning 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.