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Machine Learning Operations Jobs in Houston, TX (NOW HIRING)

GATE Energy

Engineering Consultant

Houston, TX

Machine learning and data analytics expertise is employed in developing tools to optimize operations to increase revenue. Develop Standard Operating Procedures and Initial Start-up Procedures for ...

GATE Energy

Engineering Consultant

Houston, TX · On-site

Machine learning and data analytics expertise is employed in developing tools to optimize operations to increase revenue. Develop Standard Operating Procedures and Initial Start-up Procedures for ...

Corva

Senior Data Scientist

Houston, TX · On-site

... machine learning solutions that power mission-critical decisions in drilling, completions, and geoscience operations. This role combines applied research, production-grade ML engineering, and ...

Wipro Limited

DEVELOPER L4

Texas City, TX · On-site

$60K - $135K/yr

... operations, we help clients realize their boldest ambitions and build future-ready, sustainable ... Deploy and monitor machine learning models in production * Collaborate with cross-functional teams ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

... and operational systems. * Develop intelligent automation and decisioning systems that combine machine learning with rule-based logic to enable proactive monitoring, anomaly detection, and self ...

circa

AI Engineer III

Houston, TX

... and operational systems. * Develop intelligent automation and decisioning systems that combine machine learning with rule-based logic to enable proactive monitoring, anomaly detection, and self ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... inventory management, or operations research. * Proficiency in Python, SQL, and PySpark.

SDH Systems

AI Lead 11+ years of exp

Houston, TX · On-site

$133K - $164K/yr

Select and implement machine learning algorithms, NLP models, and other Gen AI technologies ... Understanding of DevOps practices for AI/ML model deployment. * Experience in customer-facing roles ...

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Houston, TX

Machine Learning Operations information

See Houston, TX salary details

$20

$38

$58

How much do machine learning operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations in Houston, TX is $38.09, according to ZipRecruiter salary data. Most workers in this role earn between $31.92 and $40.38 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities near Houston, TX are hiring for Machine Learning Operations jobs? Cities near Houston, TX with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,237 per year, or $38.1 per hour.

Engineering Consultant

Viking Engineering, LC

Houston, TX

Full-time

Re-posted 12 days ago

Job description

Job Summary:

Utilize expertise in process control and process safety to ensure operations are safer and more efficient. Machine learning and data analytics expertise is employed in developing tools to optimize operations to increase revenue. Develop Standard Operating Procedures and Initial Start-up Procedures for topsides and subsea systems. Develop tools for corrosion rate calculations for topside systems. Perform HAZOPs and risk assessment for topsides and subsea systems. Develop allocation and metering packages for topside facilities that use all process data available together with the traditional statistical tools to provide a more accurate metering for wells. Machine learning and data analytics expertise is employed in developing tools to optimize client’s operations to increase revenue. Communicate results and deliverables effectively through presentations and technical reports.

Experience & Education:

Master's Degree in Chemical Engineering.

GATE Energy is an Equal Opportunity Employer