Senior ML Engineer & MLOps Lead

Posted yesterday

phillips 66 companyHouston (TX)

SENIORITY

Lead

Apply

About the role

Phillips 66 is seeking an Advisor III, Machine Learning Engineering (Data & MLOps) to own the end-to-end delivery of production‑grade AI solutions, from design through deployment and operation. This role collaborates with business leaders, data professionals, software engineers, and other technology teams to translate complex requirements into scalable ML products. The position emphasizes data engineering foundations, cloud platforms (Azure/AWS), MLOps practices, and robust data pipelines to

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this