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Sr Machine Learning Engineer Jobs in Nevada (NOW HIRING)

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV · On-site

$125K - $151K/yr

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Experience with machine learning pipelines and production deployment (preferred) * Hands-on ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Machine Learning & Modeling * Supervised, unsupervised, reinforcement learning * Deep learning ... AI Engineering & MLOps * Model training, deployment, monitoring, and retraining * Feature stores ...

chromalloy

Senior Machining Process Engineer

Carson City, NV · On-site

$101K - $131K/yr

As a Senior Machining Process Engineer, your responsibilities include providing technical and production support for gas turbine systems in aerospace and industrial applications. You'll develop and ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$118K - $155K/yr

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ...

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Showing results 1-20

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Nevada

Sr Machine Learning Engineer information

See Nevada salary details

$60.6K

$128.9K

$186.9K

How much do sr machine learning engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for sr machine learning engineer in Nevada is $128,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $146,100.00 per year, depending on experience, location, and employer.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer, and why are they important?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Nevada? For Sr Machine Learning Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in Nevada look for? The top searched job categories for Sr Machine Learning Engineer jobs in Nevada are:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Nevada as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,874 per year, or $62 per hour.

Sr. Data Engineer

KēSTA I.T.

Las Vegas, NV • On-site

$125K - $151K/yr

Full-time

Posted 17 days ago

Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments.


This individual partners closely with business and technical teams to enhance data models, improve accessibility, and drive data-informed decision-making. The role supports both real-time and batch processing capabilities and translates complex business requirements into scalable, high-performing data solutions.


Responsibilities

  • Design, develop, and maintain real-time and batch data pipelines to process large volumes of data
  • Build and support tools for data ingestion, transformation, curation, and provisioning across first- and third-party data sources
  • Develop advanced data products and APIs to enable analytics, reporting, and data science use cases
  • Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements
  • Lead data analysis efforts and design data architectures that support business intelligence, AI/ML, and data product initiatives
  • Design and implement scalable data platform architectures that meet organizational needs for performance, flexibility, and reliability
  • Ensure solutions meet operational requirements such as scalability, maintainability, extensibility, and data integrity
  • Provide technical leadership, mentorship, and guidance to team members
  • Lead code reviews and promote best practices, including test-driven development and CI/CD


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
  • Master’s degree preferred
  • 8+ years of experience in data engineering, including full-stack data capabilities
  • 10+ years of experience in software development or programming
  • 5+ years of experience working with cloud platforms (e.g., Azure, AWS, GCP)
  • Strong SQL expertise and data querying skills


Technical Skills:

  • Proficiency in Python and experience with CI/CD practices
  • Experience with machine learning pipelines and production deployment (preferred)
  • Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar technologies)
  • Strong background in infrastructure and cloud-based data architectures
  • Experience designing and building data pipelines for big data, NoSQL, and data warehouse solutions
  • Familiarity with real-time streaming technologies (e.g., Kafka, Event Hub or similar)
  • Experience with RESTful APIs, messaging systems, and integration patterns
  • Hands-on experience with cloud-native data services (e.g., data lakes, ETL tools, streaming services, analytics platforms)
  • Strong expertise in data architecture and data modeling
  • Experience implementing data quality frameworks and data governance practices
  • Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)


Additional Qualifications:

  • Experience working in Agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to occasionally support off-hours work as needed



About KēSTA I.T.:


Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KēSTA I.T.


WWW.KeSTAIT.COM