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Senior Machine Learning Ops Engineer Jobs in Orem, UT

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

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 ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

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 ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

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 ...

3M HEALTHCARE

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 ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

NRG

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud ... Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git Preferred ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud ... Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git Preferred ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud ... Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git Preferred ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

... 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 ...

Crew Career Center

Senior Data Scientist

Lehi, UT · On-site

... 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 ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

... 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 ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

... 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 ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$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 ...

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Showing results 21-40

All JobsMachine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer Jobs in Orem, UT

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 Sep 7, 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 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 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 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:

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The top searched job categories for Senior Machine Learning Ops Engineer jobs in Orem, UT are:

Senior Machine Learning Ops Engineer jobs near you

Platform Engineer Machine Learning (Utah)

Waystar, Inc

Lehi, UT • On-site

$100 - $130/hr

Other

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

Responsibilities
  • Develop and enhance the machine learning platform to manage the full model life cycle.
  • Build frameworks and tools to enable the data science team in developing and enhancing predictive models, and support scalable real‑time predictions in production.
  • Design and implement data‑engineering solutions for model training.
  • Expand NLP capabilities with advanced analysis techniques to improve text understanding.
  • Design and implement high‑performance, scalable services and applications.
  • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation.
  • Understand and adhere to development standards for consistency across teams.
  • Perform in‑depth technical and performance analyses to troubleshoot production issues.
  • Monitor and maintain production systems for reliability and efficiency.
Minimum Requirements
  • Bachelor’s degree in Computer Science or a related field;Master’s degree preferred.
  • 7+ years of professional experience writing Python or Java code, with at least 3years building data platforms.
  • Expert proficiency with SQL and NLP.
  • Seasoned practitioner of engineering best practices such as CI/CD and automated testing.
  • Comfortable working in a Linux environment.
  • Passion for exploring, applying, and following the evolution of cutting‑edge technologies related to AI, machine learning, NLP, and large‑scale data processing.
  • Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures.
  • Experience with public cloud solutions, such as AWS or GCP.
  • Proven track record of successful delivery of progressively complex technical projects.
  • Coaching and mentoring junior engineers.
  • Team‑player DNA with a positive, self‑starter attitude.
  • Attention to detail, highly organized, with an absolute focus on quality of work.
Preferred Requirements
  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow.
  • Familiarity with statistics and the healthcare domain.
  • Proven expertise in successful large project/build management and execution.
Benefits
  • Competitive total rewards (base salary + bonus, if applicable).
  • Customizable benefits package (three medical plans with Health Savings Account company match).
  • Generous paid time off: 3weeks + 13 paid holidays for non‑exempt team members; flexible time off for exempt team members + 13 paid holidays.
  • Paid parental leave (including maternity and paternity leave).
  • Education assistance opportunities and free LinkedIn Learning access.
  • Free mental health and family planning programs, including adoption assistance and fertility support.
  • 401(k) program with company match.
  • Pet insurance.
  • Employee resource groups.
Equal Opportunity Statement

Waystar is proud to be an equal‑opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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