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Machine Learning Oil Gas Industry Jobs (NOW HIRING)

CNC Lathe Machinist

Houston, TX

$21 - $26.75/hr

Pro-Machine manufactures & supplies critical directional drilling tool components utilized by the Oil & Gas industry. * Pro-Machine was founded in April 2005 * CNC Lathe & Mill machining along with ...

Oil & Gas Market Development

Plano, TX · On-site

$144K - $231K/yr

As the Oil & Gas Industry Manager, you will deploy your knowledge of the industry to develop and execute the company strategy to increase the adoption of MATLAB, Simulink, Technical Computing, and ...

Burgettstown, PA Duration: 12 Months Shift Hours: 24/7- 365 Payrate: $24 - $31 No experience needed, but preferred in oil & gas industry. Per diem: $45/day • The Operator is responsible for ...

Stay up-to-date with state-specific laws, regulations, and industry standards related to oil and gas title opinions. * Draft and review legal documents related to oil and gas transactions, ensuring ...

Mechanical Assembler

Tulsa, OK · On-site

$17 - $22/hr

Mechanical AssemblerOil & Gas Industry | $17-$22/hr Are you mechanically inclined and enjoy working with your hands? We're looking for a Mechanical Assembler to join a growing team supporting the oil ...

Stay up-to-date with state-specific laws, regulations, and industry standards related to oil and gas title opinions. * Draft and review legal documents related to oil and gas transactions, ensuring ...

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Machine Learning Oil Gas Industry information

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How much do machine learning oil gas industry jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for machine learning oil gas industry in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Oil Gas IndustryData Scientist Oil Gas Industry
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentField data analysis, modeling for exploration, production optimizationData analysis, modeling, and visualization within corporate or research settings
Employer & Industry UsageOil & gas companies applying ML for predictive maintenance, reservoir modelingOil & gas firms analyzing data trends, developing insights for decision-making

Machine Learning professionals in the oil and gas industry focus on developing algorithms and models to optimize operations, while Data Scientists analyze data to generate insights. Both roles require similar educational backgrounds and work within the same industry, but their core functions differ in application and scope.

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

To thrive as a Machine Learning professional in the Oil and Gas industry, you need a solid background in data science, programming (typically Python), and domain knowledge in petroleum engineering or geosciences, usually supported by a relevant degree. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), data visualization tools, and familiarity with industry-specific software like Petrel or OSIsoft PI are often required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical findings to non-technical stakeholders make candidates stand out. These competencies are crucial for developing effective predictive models, optimizing operations, and driving innovation in a highly technical and safety-focused industry.

What are machine learning jobs in the oil and gas industry?

Machine learning jobs in the oil and gas industry involve applying data-driven algorithms and artificial intelligence to improve exploration, production, and operational efficiency. Professionals in these roles analyze large datasets from sensors, seismic surveys, and equipment to optimize drilling, predict equipment failures, and streamline supply chains. Their work helps companies reduce costs, increase safety, and make better strategic decisions. Common positions include data scientist, machine learning engineer, and AI specialist, often working closely with geologists and engineers.

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

Machine Learning professionals in the oil and gas industry frequently work alongside geoscientists and engineers to analyze large datasets, such as seismic surveys or production logs, and develop predictive models that support exploration, drilling, and production optimization. Collaboration often involves regular meetings to understand domain-specific challenges, translating them into data science problems, and iteratively refining models based on technical feedback. Effective communication and an understanding of industry-specific data are essential for ensuring that machine learning solutions are practical, interpretable, and aligned with business goals.

Oil/Gas Pipeline Inspector

Iron Horse Consultants

Columbia, SC

$2K - $3K/wk

Full-time

Posted 17 days ago


Job description

About the Role:
Join Iron Horse Consultants as an Oil/Gas Pipeline Inspector and play a crucial role in ensuring the safety and integrity of pipeline operations. We are looking for dedicated professionals who are passionate about maintaining high industry standards in the oil and gas sector. Be part of a dynamic team that values precision and excellence in every project.
Responsibilities:
  • Conduct thorough inspections of oil and gas pipelines to ensure compliance with safety regulations.
  • Document findings and prepare detailed inspection reports for management and regulatory agencies.
  • Collaborate with engineers and project managers to address potential issues and implement solutions.
  • Stay updated on industry standards and best practices for pipeline inspection and safety.
  • Utilize advanced inspection tools and technology to enhance accuracy and efficiency.
Requirements:
  • Proven experience as a pipeline inspector in the oil and gas industry.
  • Valid certification in pipeline inspection (e.g., API 1169, ASNT Level II).
  • Strong knowledge of federal and state regulations related to pipeline safety.
  • Excellent attention to detail and strong analytical skills.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Strong communication skills to effectively convey findings and recommendations.
  • Willingness to travel to various job sites as required.
  • Commitment to maintaining a safe work environment and promoting safety culture.
About Us:
Iron Horse Consultants has been a leader in the oil and gas consulting industry for over 15 years. Our commitment to quality and customer satisfaction has earned us a reputation for excellence among clients and employees alike. We foster a supportive work environment that encourages growth, innovation, and teamwork.