Time since we first saw it
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,452 similar postings that came down. Coming down is not always a hire.
Title: AI/Machine Learning Specialist Clearance: Active TS Required, Q Clearance preferred Education: Bachelor’s degree preferred Years Experience: all levels available Location: fully remote Compensation: DOE ($90-$140/yr.) Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions. Responsibilities:- Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project’s execution to deliver high-quality results on time.Read the full posting
Listed location: RemoteRead the full posting
Plan and oversee ML projects from design through on-time delivery
Choose algorithms, data sources and model approaches for projects
Work with data engineering, software and BI teams to align ML projects
Improve existing ML processes and algorithms and apply new techniques
Present findings to non-technical stakeholders and write technical reports
strategizing and implementing ML projects
making critical decisions related to algorithm choice, data usage, and model implementation
work closely with other departments such as data engineering, software development, and business intelligence
continuously seek ways to improve existing ML processes and algorithms
presenting findings to non-technical stakeholders
Active TS Required
Bachelor’s degree preferred
leveraging techniques like machine learning and deep learning
Q Clearance preferred
Title: AI/Machine Learning Specialist Clearance: Active TS Required, Q Clearance preferred Education: Bachelor’s degree preferred Years Experience: all levels available Location: fully remote Compensation: DOE ($90-$140/yr.) Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions. Responsibilities:- Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project’s execution to deliver high-quality results on time.
Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,452 similar postings that came down. Coming down is not always a hire.
1 open job
Check the employer’s posting for the current role and application details.
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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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Title: AI/Machine Learning Specialist Clearance: Active TS Required, Q Clearance preferred Education: Bachelor’s degree preferred Years Experience: all levels available Location: fully remote Compensation: DOE ($90-$140/yr.) Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions. Responsibilities:- Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project’s execution to deliver high-quality results on time.
Remote
Title: AI/Machine Learning Specialist Clearance: Active TS Required, Q Clearance preferred Education: Bachelor’s degree preferred Years Experience: all levels available Location: fully remote Compensation: DOE ($90-$140/yr.) Overview: An AI/Machine Learning Specialist designs, develops, and implements AI solutions, leveraging techniques like machine learning and deep learning to solve complex business problems. They work closely with data scientists and engineers to create algorithms that drive data analysis and influence strategic decisions. Responsibilities:- Project Planning and Execution: This role involves strategizing and implementing ML projects. It requires a strong understanding of business objectives to develop project plans, coordinate resources, and oversee the project’s execution to deliver high-quality results on time.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting