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AI/Machine Learning Specialist (Top Secret Required)

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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.
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Work setting
Remote — work setting source
Listed location: Remote
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Employment
Not stated

What you’ll work on

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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Active Top Secret clearance
  • Bachelor's degree preferred
  • Understanding of machine learning and deep learning techniques

Preferred experience

  • Q clearance
Qualification wording
Active TS Required
Bachelor’s degree preferred
leveraging techniques like machine learning and deep learning
Q Clearance preferred
Education & alternatives
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.

Posting record

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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.

Status in our records
Live
First seen by us
Jun 2, 2026156 days ago
Recorded sightings
78
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 156

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,444 similar postings that came down. Coming down is not always a hire.

August Schell is hiring

1 open job

  • No new data jobs since June
Hiring record

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.
  • Problem-Solving and Decision-Making: The ML Specialist is expected to leverage their technical expertise to solve complex problems. They must be capable of making critical decisions related to algorithm choice, data usage, and model implementation, which directly impact the project’s outcome.
  • Collaboration with Cross-Functional Teams: As part of their role, ML Specialists work closely with other departments such as data engineering, software development, and business intelligence. This collaboration ensures that ML projects align with broader company objectives and technological capabilities.
  • Leadership and Mentorship: In some cases, the ML Specialist may be required to lead a team of junior data scientists or analysts. This responsibility includes mentoring team members, overseeing their work, and contributing to their professional development.
  • Process Improvement and Innovation: A fundamental part of this role is to continuously seek ways to improve existing ML processes and algorithms. The ML Specialist is also expected to stay updated on industry trends and apply innovative techniques to maintain our competitive edge.
  • Technical or Customer-Facing Responsibilities: Lastly, an ML Specialist may be tasked with technical report writing, presenting findings to non-technical stakeholders, or even interacting with clients to understand their needs and deliver tailored ML solutions.

Note
This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

Who we are...  
August Schell offers 30 years of experience in providing our customers innovative solutions and engineering services to their most challenging needs. We thrive on navigating complex IT difficulties and are driven to find the best solutions for our customers. Our team delivers expert knowledge in cyber security, big data, endpoint security and cloud solutions. Our ability to serve our customers with continued excellence is a direct reflection of our dedicated and exceptional people. At August Schell, we are not only a team, we are a family. 

Equal Employment Opportunity
August Schell Enterprises Inc. is an Equal Employment Opportunity Employer. We are committed to providing a workplace that is free from discrimination and harassment based on race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age, marital status, disability, protected veteran status or any other characteristic protected by applicable law.

Accommodations
If you are an individual with a disability and would like to request a reasonable accommodation during the application or hiring process, please contact Human Resources at [email protected]
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Pay
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.
Location & working pattern

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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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