Employment type in the employer’s posting: Full timeFrom the employer’s posting
Take SmartSignal projects from asset scoping through to go-live
Define health indicators, alert thresholds and diagnostic logic
Map tags and build data pipelines from historians and sensors
Resolve false alarm and data quality issues
Turn FMEA and RCA results into monitoring scope
Take each project from asset scoping to go-live.
Define health indicators, alert thresholds and diagnostic logic for rotating and process equipment.
Map tags and build data pipelines between plant historians, sensors and SmartSignal.
Resolve false alarm and data quality issues.
Turn Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA) results into monitoring scope.
10+ years in asset performance management, reliability engineering or industrial predictive analytics
Experience mentoring colleagues informally
Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform
- Education: A formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field is nice to have, but we are most interested in your total experience and professional achievements. Why GE Vernova
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
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Early. Similar jobs usually come down between day 6 and day 70.
At GE Vernova, jobs usually come down by about day 25.
From 4,523 similar postings that came down, and 46 of GE Vernova’s. Coming down is not always a hire.
21 open jobs
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Key Responsibilities
Work Model and Travel
You work remotely and travel to client project sites as projects require
Qualifications
You are an experienced reliability or analytics professional who turns plant data into decisions that clients trust.
Required
Preferred
Education: A formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field is nice to have, but we are most interested in your total experience and professional achievements.
Why GE Vernova
GE Vernova employees rise to the challenge of building a world that works. We offer competitive benefits that depend on your employment status and national requirements, and we invest in your growth through continued on-the-job learning and development.
Relocation Assistance Provided: No
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