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Machine Learning Oil Gas Industry Jobs (NOW HIRING)

Many of their group's members began their careers on the business side of the oil and gas industry, and are able to serve clients with a heightened understanding of their commercial needs. Their ...

Oil & Gas Hand

Tulsa, OK ยท On-site

$12.50 - $16.75/hr

Valve Service & Repair TechnicianTravel Opportunities | Oil & Gas Industry | Overtime Available Travel Requirement: Up to 50% (local and overnight travel as needed) What You'll Do * Disassemble ...

Stay informed about industry trends, market conditions, and emerging skill demands in the upstream ... Calm App * Learning opportunities * Financial planning support * Parental leave * Employee ...

Stay informed about industry trends, market conditions, and emerging skill demands in the upstream ... Knowledge of Oil & Gas, Energy and/or Skilled Trades industries * Ability to prioritize multiple ...

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This is a high-impact role with significant earning potential for someone who understands the oil & gas industry and already has relationships in the field and ready to expand into other markets.

Oil & Gas Lab Sales Representative The Oil & Gas Sales Representative is responsible for ... Networks through various industry and social events. Familiar with Gas Processing Association (GPA ...

Oil & Gas Lab Sales Representative

Alice, TX ยท On-site

$90K - $100K/yr

Description Oil & Gas Lab Sales Representative The Oil & Gas Sales Representative is responsible ... Networks through various industry and social events. Familiar with Gas Processing Association (GPA ...

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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.
Partner - Oil & Gas Practice

Partner - Oil & Gas Practice

Applexus Technologies

Houston, TX โ€ข On-site

$111K/yr

Full-time

Posted 2 days ago


Job description

United States of America Houston, Texas Full Time
About Applexus
Applexus is a global technology and business consulting firm, founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We empower enterprises to accelerate digital transformation by combining deep industry expertise with SAP-centric and cloud-native solutions.
In the Oil & Gas sector, we deliver transformative solutions that optimize operations, modernize complex processes, and enable enterprise-scale SAP and digital transformations. Our services include SAP S/4HANA, data modernization, advanced analytics, AI/ML, and cloud adoption-helping clients achieve measurable business outcomes, unlock growth, and gain competitive advantage.
At Applexus, we offer leaders with entrepreneurial vision the opportunity to build and scale a practice, influence strategy, and drive multi-million-dollar business impact.
Role Overview
As a Partner at Applexus, you will operate as a business owner with end-to-end responsibility for building and scaling the Oil & Gas portfolio. This role is designed for a commercially driven leader who combines deep Oil & Gas domain expertise, established industry relationships, and a proven ability to build pipeline, win clients, and drive enterprise-scale digital transformation.
You will shape practice strategy, influence C-suite stakeholders, originate and close new business, and build long-term client partnerships. With a commercially driven mindset, you will grow the practice by leveraging your Oil & Gas industry network, cultivating trusted advisory relationships, and partnering with internal delivery teams to position Applexus as a preferred transformation partner within the Oil & Gas ecosystem.
Key Responsibilities
Portfolio Ownership & Growth
  • Own the North America Oil & Gas portfolio P&L, including revenue, margins, pipeline, and forecasting.
  • Define and execute the multi-year vision, strategy, and operating model for the Oil & Gas practice.
  • Build, prioritize, and manage pipeline; drive deal pursuits, pricing strategies, and closures.
  • Act as the primary client owner for strategic Oil & Gas accounts.
  • Build and lead a high-performing team of specialists, driving excellence in delivery, client engagement, and innovation.
  • Develop and execute go-to-market strategies, including account planning, executive engagement, proposals, and deal shaping.

Client & Industry Leadership (Oil & Gas Focused)
  • Serve as a trusted advisor to C-level Oil & Gas executives on technology-enabled transformation, operational excellence, and digital modernization-translating complex business challenges into compelling solution narratives.
  • Lead executive workshops to identify high-value Oil & Gas use cases, define success metrics, and translate business challenges into executable roadmaps.
  • Leverage deep industry networks, customer relationships, and thought leadership to influence enterprise-wide Oil & Gas programs and long-term partnerships.

Delivery Partnership & Oversight
  • Partner with delivery leaders and technical teams to ensure enterprise-grade standards are upheld across SAP, data, analytics, and AI programs within the Oil & Gas portfolio-representing the client's voice and business priorities throughout.
  • Provide senior client-side oversight across key engagements, maintaining accountability for outcomes, managing escalations, and ensuring delivery teams remain aligned to agreed business objectives and timelines.
  • Act as a senior advocate and escalation point on strategic engagements, leveraging client relationships and industry knowledge to navigate complex situations and protect both client trust and Applexus's reputation.
  • Proven leadership experience in Oil & Gas consulting, business development, enterprise technology sales, or senior client advisory roles-with a track record of winning and growing accounts in the O&G sector.
  • Demonstrated ownership or co-ownership of multi-million-dollar portfolios with clear accountability for revenue, margin, and growth.
  • Strong executive presence with established relationships across Oil & Gas enterprises.
  • Entrepreneurial mindset with experience building, scaling, or transforming practices or business units.
  • Deep understanding of Oil & Gas business processes, commercial technology solutions (including ERP, data management, and digital platforms), and the ability to credibly engage enterprise O&G clients on transformation opportunities.
What We Are Looking For:
Why This Role is Different
  • True business ownership with autonomy and accountability
  • Ability to build and scale a practice, not just deliver projects
  • Leadership influence across strategy, clients, delivery, and talent
  • Compensation and recognition aligned to business outcomes

Location: Houston, Texas
Join the Team