AI ML Engineering Visa Sponsorship Jobs in Nevada
Nevada's AI and ML engineering job market is anchored by Las Vegas tech operations, gaming analytics firms, and a growing number of data-driven startups. Major employers including Switch, Caesars Entertainment, and regional cloud infrastructure companies actively hire for these roles. International candidates will find H-1B visa sponsorship is the predominant pathway for AI and ML engineering positions here.
Find AI ML Engineering JobsOverview
Showing 5 of 66+ AI ML Engineering Jobs in Nevada with Visa Sponsorship
See all 66+ AI ML Engineering Jobs in Nevada with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering Jobs in Nevada with Visa Sponsorship.
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
AI ML Engineering Job Roles in Nevada
See all 66+ AI ML Engineering Jobs in Nevada
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI ML Engineering Jobs in NevadaAI ML Engineering Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Nevada?
Las Vegas-based employers with established tech operations are the most consistent sponsors. Switch, the data center company headquartered in Las Vegas, hires ML infrastructure engineers and has sponsored H-1B workers. Gaming and hospitality giants like Caesars Entertainment and MGM Resorts have data science and AI engineering teams that have filed LCAs for these roles. Smaller fintech and analytics startups in the Las Vegas metro also sponsor, though less frequently than larger enterprises.
Which visa types are most common for AI ML engineering roles in Nevada?
The H-1B is by far the most common visa for AI and ML engineering roles in Nevada, as these positions consistently meet the specialty occupation standard requiring a degree in computer science, mathematics, statistics, or a related field. Candidates already holding L-1B status through intracompany transfers also fill ML engineering roles at larger tech and hospitality corporations. O-1A petitions appear occasionally for researchers or engineers with recognized publications or awards.
Which cities in Nevada have the most AI ML engineering sponsorship jobs?
Las Vegas and the broader Clark County metro account for the majority of AI and ML engineering sponsorship activity in Nevada, driven by gaming technology, data centers, and hospitality analytics. Reno is a secondary hub, supported by Tesla's Gigafactory presence, regional logistics tech companies, and the University of Nevada, Reno, which supplies engineering talent and hosts research collaborations with industry partners seeking sponsored hires.
How to find ai ml engineering visa sponsorship jobs in Nevada?
Migrate Mate is built specifically for international candidates and filters AI and ML engineering roles in Nevada by visa sponsorship availability, so you're not sorting through listings from employers who won't sponsor. The platform covers positions across Las Vegas, Reno, and the wider Nevada market. Because sponsorship willingness isn't always stated in job postings, using a dedicated tool like Migrate Mate saves significant time compared to manually screening general job boards.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Nevada?
Nevada has no state income tax, which affects prevailing wage calculations and compensation structures that employers factor into LCA filings with the Department of Labor. The Nevada System of Higher Education, including UNLV and UNR, has expanded computer science programs that create local pipelines, but also means employers sometimes prefer local candidates first. AI engineers with experience in gaming analytics, real-time recommendation systems, or large-scale data center infrastructure will find their skills align closely with Nevada's dominant employer sectors.
What is the prevailing wage for sponsored ai ml engineering 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.