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Machine Learning Software Engineer Jobs in Oklahoma

Expand Energy

Sr. Software Engineer

Oklahoma City, OK · On-site

$100.40K - $132.40K/yr

... Software Engineers to identify and define requirements ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Expand Energy

Sr. Software Engineer

Oklahoma City, OK · On-site

$100.40K - $132.40K/yr

... Software Engineers to identify and define requirements ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Camgian Corporation

Senior Software Engineer

Lawton, OK · On-site

$120.60K - $158.90K/yr

As a senior engineer you will influence engineering design and software development, supervise ... Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ...

Camgian Corporation

Senior Software Engineer

Lawton, OK · On-site

$120.60K - $158.90K/yr

As a senior engineer you will influence engineering design and software development, supervise ... Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK

Summary We're looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · On-site +1

Summary We're looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You'll own the full lifecycle in a real-world, high-stakes ...

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Machine Learning Software Engineer information

See Oklahoma salary details

$58.6K

$136.2K

$189.7K

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

As of May 29, 2026, the average yearly pay for machine learning software engineer in Oklahoma is $136,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $159,700.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
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Machine Learning Software Engineer jobs near you

Sr. Software Engineer

Expand Energy

Oklahoma City, OK • On-site

$100.40K - $132.40K/yr

Other

Posted 12 days ago

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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