1

Senior Machine Learning Ops Engineer Jobs in Orem, UT

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their ... programming languages • Proficient creating machine learning, predictive modeling, and advanced ...

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Senior Data Scientist - Overview nCino's Data & AI team is seeking a Senior Data Scientist to build ... machine learning models. * Lead teams in implementing programming best practices and adopting ...

Senior Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

New

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Sr. Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Sr. Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Sr. Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

Senior Software Engineer, Predict

Lehi, UT · On-site

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

  • Medical

  • Retirement

  • PTO

Work closely with Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning and analytical systems applied to design ...

Showing results 21-40

Senior Machine Learning Ops Engineer information

See Orem, UT salary details

$51.7K

$110K

$159.5K

How much do senior machine learning ops engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior machine learning ops engineer in Orem, UT is $110,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Orem, UT?

The most popular types of Machine Learning Ops Engineer jobs in Orem, UT are:

What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Orem, UT?

For Senior Machine Learning Ops Engineer jobs in Orem, UT, the most frequently searched job titles are:

Senior Data Scientist

nCino

Lehi, UT • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights, and develop data-driven solutions to enhance banking products and services.
Responsibilities:
• Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
• Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
• Experience in large data sets and algorithms
• Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
• Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
• Understanding of data science priorities and how each contributes to the success of nCino
• Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
• Extensive experience in developing, deploying, and monitoring complex machine learning models
• Lead and guide teams in implementing programming best practices and adopting emerging technologies
• Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
• Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
• Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
• Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.
Qualifications:
Required:
• Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
• Demonstrated mastery of programming skills in Python or R
• Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
• Demonstrated mastery of machine learning algorithms and techniques
• Strong problem-solving skills and ability to work independently and collaboratively
• Strong experience with SQL or noSQL and database management systems
• Experience deploying and monitoring models in production
• Strong understanding of the business domain
• Ability to translate business questions into analytics projects and deliver actionable insights
• Flexibility and the ability to be productive in a fast-paced, team environment
• Excellent verbal and written communication skills for technical and non-technical audiences
• Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control
Preferred:
• Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
• Experience developing and deploying models using Databricks and mlflow
• Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
• Experience with Agile software development
Company:
nCino provides a cloud banking platform that helps financial institutions modernize their operations and improve the customer experience. Founded in 2012, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.