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AI/ML Engineer

Pay
$103,500–181,100/yearAnnual period assumed — pay source
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $103,500.00 - $181,100.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyMust be a US Citizen

What you’ll work on

Full posting
  • Design, train, evaluate, and deploy machine learning and AI models

  • Build and maintain data pipelines, feature engineering, and training workflows

  • Monitor model performance, drift, and accuracy in production and fix issues

  • Support MLOps practices such as versioning, deployment automation, and lifecycle management

  • Document model architecture, assumptions, metrics, and deployment procedures

From the employer’s posting
Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models
Develops and maintains data pipelines, feature engineering processes, and model training workflows.
Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
Documents model architecture, assumptions, performance metrics, and deployment procedures.
Apply at Parsons

Posting record

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Open 3 monthsWe first saw this posting 114 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 13, 2026114 days ago
Recorded sightings
170
Last seen by us
Nov 5, 2026
Reposted
once since Jun 26, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

Lower than most similar jobs

$104K–$181K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 114

Up longer than most. Similar jobs usually come down between day 6 and day 69.

Well past Parsons’s usual: its jobs come down by about day 28.

From 4,423 similar postings that came down, and 66 of Parsons’s. Coming down is not always a hire.

Parsons is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring has slowed
  • Takes jobs down at a usual pace
  • 8% of open jobs were reposted
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.

  • Python
  • AWS
  • Azure
  • Databricks
  • SageMaker
  • Hugging Face
  • Keras
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Experience developing and deploying machine learning models in production environments. - Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies. - Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.
- Experience working with structured and unstructured data sources and large-scale datasets. - Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments. - Strong analytical, problem-solving, and troubleshooting skills.
- Experience deploying AI/ML solutions in enterprise or production environments preferred. - AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred. - Generative AI, LLM, or MLOps certifications preferred.

Your next step

Complete your application on parsons.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Parsons posted this job before?

Yes. We’ve followed one other AI/ML Engineer job there since June 2026. It came down after 10 days.

  1. AberdeenCame down after 10 days, first seen Jun 26
  2. This jobUp 114 days so far, first seen Jul 13

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 ↗

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

 

Job Description:

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.


What You'll Be Doing:

  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.
  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.
  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.
  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.
  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.
  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.
  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.
  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.
  • Documents model architecture, assumptions, performance metrics, and deployment procedures.
  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.
  • Performs other responsibilities associated with this position as may be appropriate.

​

​What Required Skills You'll Bring:

  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.
  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.
  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.
  • Experience developing and deploying machine learning models in production environments.
  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.
  • Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.
  • Experience working with structured and unstructured data sources and large-scale datasets.
  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to work effectively under pressure and manage multiple priorities.
  • Advanced written and verbal communication skills.
  • Proficiency in Microsoft Office applications.
  • Advanced time management and organizational skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Must be a US Citizen

​

What Desired Skills You'll Bring:

  • Experience deploying AI/ML solutions in enterprise or production environments preferred.
  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.
  • Generative AI, LLM, or MLOps certifications preferred.
  • A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:

None

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $103,500.00 - $181,100.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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Pay
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $103,500.00 - $181,100.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Location & working pattern

US - MD, Aberdeen

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Ability to communicate complex technical concepts to both technical and non-technical audiences. - Must be a US Citizen ​
More source context
- A SECRET Clearance (or higher is preferred) Security Clearance Requirement: None

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