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Machine Learning Oil Gas information

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$58K

$83.2K

$130.5K

How much do machine learning oil gas jobs pay per year?

As of Jun 4, 2026, the average yearly pay for machine learning oil gas in the United States is $83,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in the Oil & Gas industry, and why are they important?

To thrive as a Machine Learning Engineer in Oil & Gas, you need expertise in data science, statistical analysis, and domain knowledge of energy systems, typically backed by a degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and industry-specific tools such as SCADA systems is essential. Strong problem-solving, collaboration, and communication skills help translate complex data insights into actionable solutions for multidisciplinary teams. These competencies are critical for optimizing operations, reducing costs, and driving innovation in a data-intensive and safety-critical industry.

How does a Machine Learning professional in the oil and gas industry typically collaborate with domain experts and engineers?

Machine Learning professionals in the oil and gas industry work closely with geologists, reservoir engineers, and operations teams to ensure models are grounded in real-world data and industry knowledge. Collaboration often involves translating complex engineering challenges into data-driven problems, integrating data from various sources, and iteratively refining models based on expert feedback. Effective communication and regular interdisciplinary meetings are essential, as the success of ML initiatives depends on both technical accuracy and practical applicability. This collaborative environment fosters continuous learning and can open up pathways to leadership or specialized technical roles within the industry.

What is a Machine Learning Engineer in the oil and gas industry?

A Machine Learning Engineer in the oil and gas industry is a professional who applies artificial intelligence and data-driven algorithms to solve complex problems related to exploration, production, and operations. Their work often involves analyzing large datasets from sensors, seismic surveys, or drilling operations to optimize processes, predict equipment failures, and improve safety. By building predictive models and automating data analysis, they help companies make more informed decisions, reduce costs, and increase efficiency. These engineers typically collaborate with geoscientists, data analysts, and engineers to implement machine learning solutions tailored to the industry's unique challenges.

What is the difference between Machine Learning Oil Gas vs Data Scientist Oil Gas?

AspectMachine Learning Oil GasData Scientist Oil Gas
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML algorithmsDegree in Statistics, Mathematics, or Data Science; programming skills
Work EnvironmentData analysis teams, R&D departments, field data processingData analysis, modeling, and reporting in oil and gas companies
Industry UsageDevelops predictive models for exploration, production optimizationAnalyzes data trends, creates insights for decision-making

Machine Learning Oil Gas specialists focus on developing algorithms and models to optimize exploration and production, while Data Scientists analyze data to generate insights and support strategic decisions. Both roles require strong technical skills but differ in their primary focus within the industry.

Infographic showing various Machine Learning Oil Gas job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $83,176 per year, or $40 per hour.
Roustabout - Oil & Gas

Roustabout - Oil & Gas

Keystone Clearwater Solutions

Washington, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Keystone Clearwater Solutions rating

4.3

Company rating: 4.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

69th of 70 rated recycling and waste

Job description

A Roustabout will be responsible to work in our field operations for various clients of Keystone Clearwater Solutions. The scheduled work assignments will vary by job location and staffing needs. Roustabouts will use mechanical and other field skills to perform the following work duties (i) set-up and tear-down of containment, generators, piping systems, pipelines, manifolds, and related appurtenances in support of our roustabout and water transfer business; (ii) operation and maintenance of roustabout and water transfer systems.
  • Set up and tear down equipment like generators, piping, and containment 
  • Operate heavy machinery (telehandler, skid steer, loaders) when trained 
  • Fuel and inspect equipment, manage daily checklists, and complete safety documentation 
  • Support water transfer and frac site activities as needed 
  • Back-in trucks and monitor on-site operations for safety 
  • Communicate effectively across teams using radio, phone, and in-person 
  • Maintain a clean and safe work environment 
  • High school diploma or GED 
  • Prior experience in roustabout, water transfer, or oil & gas preferred 
  • Strong teamwork and communication skills 
  • Valid driver's license  
  • Ability to work in all weather conditions and travel overnight as needed 
  • Equipment operator certification a plus 
  • Previous pipe fusing experience a plus
  • 12-hour shifts | Days & Nights | Overtime & Weekend availability 
  • Outside in all weather conditions
  • Paid Holidays
  • Medical / Dental / Vision coverage 
  • Health savings account (HSA) 
  • Company Paid Life Insurance and Accidental & Dismemberment Insurance 
  • Voluntary Life Insurance 
  • 401k with a company match 
  • Paid Time Off 
  • Employee Assistance Program 
  • Professional Development Programs 
  • Employee Referral Programs
  • Voluntary Benefits Offered
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