ML Software Engineer Visa Sponsorship Jobs in Nevada
Nevada's ML software engineer market centers on Las Vegas and Reno, where gaming tech giants like MGM Resorts and Caesars Entertainment, cloud infrastructure firms, and a growing startup scene are building out machine learning teams. Employers in this state regularly sponsor H-1B visa and other work visas for qualified ML engineers.
Find ML Software Engineer JobsOverview
Showing 5 of 11+ ML Software Engineer Jobs in Nevada with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all ML Software Engineer Jobs in Nevada with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer 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
ML Software Engineer Job Roles in Nevada
See all ML Software Engineer Jobs in Nevada
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Software Engineer Jobs in NevadaML Software Engineer Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Nevada?
Gaming and hospitality technology companies lead Nevada's ML sponsorship activity, with MGM Resorts International and Caesars Entertainment among the larger employers filing H-1B petitions for technical roles. Fintech firms, logistics companies near the Reno-Sparks corridor, and data center operators supporting major cloud providers also hire ML engineers and have established sponsorship track records.
Which visa types are most common for ML software engineer roles in Nevada?
The H-1B is the most common visa category for ML software engineers in Nevada, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the USMCA. Australian citizens can explore the E-3 visa as an alternative to the H-1B lottery.
Which cities in Nevada have the most ML software engineer sponsorship jobs?
Las Vegas generates the majority of ML engineering demand in Nevada, driven by large gaming operators and hospitality technology departments building recommendation systems, fraud detection, and customer analytics tools. Reno is the state's second hub, benefiting from Tesla's Gigafactory presence, a growing warehouse automation sector, and proximity to University of Nevada talent pipelines.
How to find ml software engineer visa sponsorship jobs in Nevada?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML software engineer roles in Nevada without sorting through positions that don't offer sponsorship. You can search by state and role type to surface employers actively hiring internationally. This is particularly useful in Nevada, where sponsoring employers are concentrated in gaming tech, logistics, and cloud infrastructure.
Are there any state-specific considerations for ML software engineers seeking sponsorship in Nevada?
Nevada has no state income tax, which affects the prevailing wage analysis employers must conduct when filing a Labor Condition Application with the Department of Labor. Employers are required to pay at least the prevailing wage for the role and location regardless of state tax treatment. Nevada's university system, particularly UNLV and UNR, produces ML talent that some employers already recruit internationally through OPT before transitioning to H-1B sponsorship.
What is the prevailing wage for sponsored ml software 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.