Phillips 66

Machine Learning Ops Engineer

LocationHouston, TX
Job Typefull_time

About This Job

Phillips 66 & YOU - Together we can fuel the future

We’re seeking a

Machine Learning Ops Engineer

to join our growing Advanced Analytics team focused on driving digital transformation across our midstream and refining operations. In this role, you’ll develop and deploy scalable ML solutions that optimize critical processes and will drive the automation and solution design.

You’ll collaborate with cross-functional teams—Data Scientists, Platform Engineers, and Data Engineers—and play a critical role in designing robust infrastructure, automating pipelines, and ensuring the reliability, scalability, and efficiency of our ML workflows

Position can be based in Houston, TX or Bartlesville, OK onsite. Responsibilities May Include

Architect, build and maintain enterprise-grade machine learning pipelines for midstream and refinery use cases.
Collaborate with data scientists and engineers to productionize predictive models for equipment failure, energy optimization, and throughput forecasting.
Design and implement CI/CD pipelines that automate model training, deployment, monitoring, and rollback processes.
Build tools and reusable libraries that integrate with existing OT/IT systems, historians (e.g., PI System), and SCADA.
Deploy models in cloud and hybrid environments, ensuring reliability, cost-efficiency, and scalability.
Develop model monitoring dashboards to track accuracy, drift, and operational KPIs.
Lead technical decision-making for MLOps strategy, standards, and tooling across multiple teams.
Continuously improve workflows and processes to support data-driven decisions across refineries, pipelines, and terminals.


Required Qualifications

Legally authorized to work in the job posting country
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field
2 or more years of experience in software engineering, machine learning, or MLOps, preferably in industrial, energy, or manufacturing sectors
Hands-on experience developing ML pipelines and deploying models using Python, SQL, and frameworks like MLflow, SageMaker, Databricks, or Azure ML
Strong knowledge of Docker, Kubernetes, Git, and CI/CD pipelines
Strong software development skills and a collaborative, problem-solving mindset


Preferred Qualifications

Industry experience in oil & gas, energy, chemicals, or utilities
Understanding of refinery operations, pipeline management, or rotating equipment diagnostics
Experience working with OT systems, industrial protocols, and integrating with plant-floor data
Familiarity with time-series data from sensors, control systems, and process historians
Knowledge of energy optimization models, LLMs for engineering document processing, or NLP for field reporting analytics
Familiarity with Terraform, or industrial IoT platforms

Total Rewards Benefits

At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being — physical, emotional, social, and financial — is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:

Annual Variable Cash Incentive Program (VCIP) bonus

8% 401k company match
Cash Balance Account pension
Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

Learn more about Phillips 66 Total Rewards

.

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence.

Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.

To be considered

In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of

06/19/2025

.

Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Phillips 66 is an Equal Opportunity Employer

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