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Artificial Intelligence/Machine Learning Engineer (Telework eligible)

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Artificial Intelligence (Full-Time)
From the employer’s posting

Before you apply

Work authorization
US citizens onlyDue to federal contract requirements, United States Citizenship and position appropriate security clearance is required

What you’ll work on

Full posting
  • Select data sets, run ML algorithms, and retrain models to improve results

  • Transform data science prototypes into scalable solutions

  • Run test and evaluation protocols for AI and ML algorithms

  • Verify data and model output quality and spot data distribution shifts

  • Provide system integration oversight

From the employer’s posting
Select appropriate data sets
Transform and convert data science prototypes into scalable solutions
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Identify differences in data distribution that affect model performance
Provide system integration oversight

What you’ll bring

All qualifications

Core experience

  • TS/SCI clearance with agency-appropriate polygraph
  • Five years of applied machine learning experience on similar programs
  • Master's or Ph.D. in advanced math, AI, data science, computer science, or deep learning
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • United States citizenship
Qualification wording
TS/SCI with agency appropriate poly
Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
United States Citizenship and position appropriate security clearance is required.
Education & alternatives
- Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. - A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. - 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
- A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. - 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. - Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Apply at Wyetechllc

Posting record

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Open 4 monthsWe first saw this posting 120 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
Jul 16, 2026120 days ago
Recorded sightings
75
Last seen by us
Nov 13, 2026
Employer says posted
Jul 13, 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

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 120

Up longer than most. Similar jobs usually come down between day 8 and day 76.

Well past Wyetechllc’s usual: its jobs come down by about day 7.

From 5,460 similar postings that came down, and 18 of Wyetechllc’s. Coming down is not always a hire.

Wyetechllc is hiring

4 open jobs

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C
  • Java
  • Python
  • R
  • PyTorch
  • TensorFlow
Where the posting names them
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
- 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. - Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. The Benefits Package

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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 ↗

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
 
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. 
 
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Capabilities

  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed   
  • Experience in working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or Select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance

Required Qualifications

  • TS/SCI with agency appropriate poly
  • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. 

The Benefits Package

  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. 
  •  
    Additional benefits include:
  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
  •  
    Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services

Company Environment & Perks

  • Employee Referral Bonus Eligibility up to $10,000 
  • Mobility Among Wyetech-supported Contracts 
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. 
  • Employees receive two complementary branded clothing orders annually.
Pay Range: $ - $ per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 
 
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
 
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates. 

Employment type

Artificial Intelligence (Full-Time)

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Annapolis Junction, Maryland

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