Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior ML Ops Engineer
Oklahoma City, OK, US, 73118
Open 6 months, first seen by us 192 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, and support MLOps platforms and tools for data science work
Implement and maintain automated pipelines for deploying and operating ML models
Write and maintain documentation for platforms, pipelines, and operations
Take part in code reviews, testing, and deployments under SDLC best practices
Gather requirements with business stakeholders, analysts, and engineers
From the employer’s posting
Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities
Implement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products
Develop and maintain documentation for platforms, pipelines, and operational processes
Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices
Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirements
Education & alternatives
Minimum: High school diploma or GED Preferred: Bachelor’s degree - from accredited university - IT, MIS, Information Systems, Computer Science or related field Experience
Posting record
Report an errorOpen 6 monthsWe first saw this posting 192 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 27, 2026192 days ago
- Recorded sightings
- 234
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 192
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Expand Operating’s usual: its jobs come down by about day 45.
From 4,442 similar postings that came down, and 10 of Expand Operating’s. Coming down is not always a hire.
Expand Operating is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Snowflake
- Spark
Where the posting names them
Job Specific Skills - High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads - High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks
- High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads - High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks - Experience establishing and operating a sustainable MLOps environment, including model deployment, pipeline automation, monitoring, and lifecycle management
- Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases - Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks - Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions
Your next step
Complete your application on jobs.expandenergy.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
About Expand Operating
- People
- About 1,600 in 2025, down 6% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EXE.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Our core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.
We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.
Job Summary
This senior level position is responsible for building and operating the platforms, pipelines, and standards that support the development, deployment, and lifecycle management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business teams delivering machine learning models and advanced analytics solutions.
Job Duties & Responsibilities
- Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirements
- Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities
- Implement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products, ensuring scalability, reliability, and efficiency
- Develop and maintain documentation for platforms, pipelines, and operational processes
- Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices
- Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and advanced analytics delivery
- Collaborate with peers to share knowledge, support team capability development, and promote consistent engineering and MLOps practices
Job Specific Skills
- High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads
- High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks
- Experience establishing and operating a sustainable MLOps environment, including model deployment, pipeline automation, monitoring, and lifecycle management
- Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns
- Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases
- Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks
- Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions
- Strong knowledge of SDLC processes, including Agile methodologies
- Excellent problem-solving skills and ability to troubleshoot complex issues in live production environments
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
Education
Minimum: High school diploma or GED
Preferred: Bachelor’s degree - from accredited university - IT, MIS, Information Systems, Computer Science or related field
Experience
Minimum: 5 - 8 years related work experience
Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.
Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.
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- Location & working pattern
Oklahoma City, OK, US, 73118
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