ZipRecruiter

Log In

1

Senior Machine Learning Ops Engineer Jobs in Orem, UT

Pattern

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 ...

Pattern

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 ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

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

Patientco

Sr. Data Scientist

Lehi, UT · On-site

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

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

... machine learning models * Work closely with data engineers and product managers to turn data ... Senior-level understanding of statistics and mathematics * Ability to work with large, complex ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

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

Adobe

Data Science Engineer

Lehi, UT

$107K - $129K/yr

... machine learning models. This positionmaintainslots of exposure to cross functional organizations and access to senior management. Whatyou'lldo A Finance Data Scientist withinAdobe'sCreativity ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills * Data Science * Statistical Methods * Model Evaluation * Data Cleaning * Data Transformation * Pattern ...

previous page

Showing results 41-60

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 2, 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:

What job categories do people searching Senior Machine Learning Ops Engineer jobs in Orem, UT look for?

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

Senior Machine Learning Ops Engineer jobs near you

Senior Software Engineer, Predict

Pattern

Lehi, UT • Hybrid

$115K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing to the maintenance and new feature development of our advertising technology platform. You will work closely with a team of experienced engineers and participate in all phases of the software development lifecycle to drive innovative solutions.
 
This is a full-time role and will work a hybrid schedule based in Lehi, Utah.
 
What is a day in the life of a Senior Software Engineer?
  • Primarily engage in back-end development with potential for some front-end development
  • Contribute to both maintenance (30-40%) and new feature development (60-70%)
  • Participate in two-week sprints using ClickUp for project management
  • Collaborate with product managers on sprint planning and contribute to technical and product roadmaps
  • Have opportunities to learn and work with new technologies to solve complex ecommerce challenges
 
What will I need to thrive in this role?
  • 3+ years of professional software engineering experience, with a focus on back-end development
  • Proficiency in Ruby on Rails; experience with Python, Go, ReactJS, or Java is a plus
  • Experience designing, developing, and maintaining scalable data pipelines (ETL/ELT) and strong proficiency in SQL
  • Proven ability to contribute to development projects and work independently with minimal supervision
  • Experience leveraging AI tools to enhance software development processes and improve code quality
  • Strong engineering fundamentals, adaptability, and a desire to learn 
What does high performance look like?
  • You are seen and trusted as a technical expert at Pattern, driving new solutions and efficiencies
  • Your work doesn't stop at code delivery; you consider the entire product lifecycle and collaborate across functions
  • You care about code quality and collaborate with stakeholders to ensure solutions resonate with business needs
  • All solutions have been tested and proven for impact and cost optimization
What is my potential for career growth?
  • At Pattern, we prioritize internal mobility and professional development. You will have the opportunity to work alongside senior technical leadership, including our Principal Back-End Engineer, gaining exposure to global-scale architecture and cutting-edge AI integration that prepares you for senior engineering and leadership tracks.
What does success look like in the first 30, 60, 90 days?
  • 30 Days: Complete technical onboarding, integrate into the two-week sprint cycle, and deliver initial contributions focused on resolving high-priority technical debt or back-end service improvements.
  • 60 Days: Independently take ownership of a significant feature or a foundational enhancement to a data pipeline within the platform, actively contributing design and collaborating on roadmap planning.
  • 90 Days: Independently scope, design, and drive a complex back-end project (e.g., a new service or a major system overhaul). Furthermore, identify and begin implementing a technical process or architectural improvement to enhance system performance and code quality.
We want individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • Initial phone interview with Pattern’s talent acquisition team
  • Video technical interview
  • Onsite interview with hiring manager and a panel of department leaders
  • Professional reference checks
  • Executive review
  • Offer
How can I stand out as an applicant?
  • Discuss professional accomplishments with specific data to quantify examples
  • Provide insights on how you can add value and be the best addition to the team
  • Focus on mentioning how you would be partner obsessed at Pattern
  • Share experience on any side projects related to data and analytics
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.