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Senior Machine Learning Engineer Jobs in Spring, TX

Expand Energy

Sr. ML Ops Engineer

Spring, TX

$96K - $132K/yr

Job Summary This senior level position is responsible for building and operating the platforms ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Role: Sr AI Engineer Location: Houston TX Project description We are seeking a highly skilled ... AI/ML Model Development Design, develop, and optimize machine learning and deep learning models.

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Project description We are seeking a highly skilled Senior AI Engineer to design, build, and deploy ... Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ...

Cliftonlarsonallen

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions ... This position blends applied machine learning, software engineering, cloud architecture, and end-to ...

Pwc

NGA AI Engineer Senior Manager

Houston, TX

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Own a targeted research project from data analysis to model verification under senior mentorship ... Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ...

Deloitte

AI Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Spring, TX

Senior Machine Learning Engineer information

See Spring, TX salary details

$54.5K

$115.9K

$168K

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

As of Jul 17, 2026, the average yearly pay for senior machine learning engineer in Spring, TX is $115,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $131,400.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Spring, TX? The most popular types of Machine Learning Engineer jobs in Spring, TX are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Spring, TX? For Senior Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Senior Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Machine Learning Engineer jobs? Cities near Spring, TX with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,877 per year, or $55.7 per hour.
Sr. ML Ops Engineer

Sr. ML Ops Engineer

Expand Energy

Spring, TX

$96K - $132K/yr

Other

Posted yesterday

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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