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Machine Learning Engineer Jobs in Stafford, VA (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

DCS Corp

Quantum Engineer SME

Springfield, VA

$86K - $114K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

DCS Corporation

Quantum Engineer SME

Springfield, VA · On-site

$86K - $115K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

DCS CORPORATION

Quantum Engineer SME

Springfield, VA · On-site

$86K - $115K/yr

Apply principles and methods from quantum machine learning and related quantum computing fields to address highly complex, narrowly scoped technical challenges in engineering and other scientific ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Stafford, VA

Machine Learning Engineer information

See Stafford, VA salary details

$31.4K

$128.4K

$193K

How much do machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer in Stafford, VA is $128,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Stafford, VA? The most popular types of Machine Learning Engineer jobs in Stafford, VA are:
What are popular job titles related to Machine Learning Engineer jobs in Stafford, VA? For Machine Learning Engineer jobs in Stafford, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Stafford, VA look for? The top searched job categories for Machine Learning Engineer jobs in Stafford, VA are:
What cities near Stafford, VA are hiring for Machine Learning Engineer jobs? Cities near Stafford, VA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Stafford, VA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,447 per year, or $61.8 per hour.

Machine Learning Engineer / AI Model Developer (Mid to Senior)(Secret Clearance Required) (Hybrid)

Solerity, Inc.

Fort Belvoir, VA • On-site

$138K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Type
Full-time
Description
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.
Solerity is seeking Mid to Senior Machine Learning Engineers and AI Model Developers to support an upcoming Federal program expected to begin in late August/September 2026. This effort focuses on developing, evaluating, and integrating machine learning models within a secure Impact Level 5 (IL5) environment supporting Controlled Unclassified Information (CUI).
This role offers the opportunity to work alongside government and technical teams to build production-ready AI/ML capabilities while establishing repeatable evaluation processes and model selection methodologies that directly support mission outcomes.
Responsibilities Include:
  • Design, develop, train, evaluate, and deploy machine learning models supporting mission objectives.
  • Collaborate with Government stakeholders to define AI/ML problems, success metrics, and evaluation criteria.
  • Develop Model Selection Briefs documenting model performance, trade studies, reproducibility artifacts, and technical recommendations.
  • Integrate Government-provided human baseline results into model evaluation and performance analysis.
  • Design and coordinate Human-in-the-Loop (HITL) baseline experiments when baseline data does not exist.
  • Support implementation and operational integration of production-ready machine learning models.
  • Collaborate with data engineers to prepare, validate, and optimize datasets for AI/ML workloads.
  • Develop backend services and APIs supporting AI-enabled applications.
  • Support cloud-native model development, deployment, and lifecycle management within secure environments.
  • Participate in architecture discussions, code reviews, testing, documentation, and quality assurance activities.
  • Work closely with Government customers and Agile development teams to deliver innovative AI solutions that meet mission requirements.
REQUIREMENTS YOU BRING:
  • Active Secret Security Clearance

Requirements
BENEFITS YOU'LL ENJOY:
1. Medical, dental and vision coverage
2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position
4. 401(k) and company-funded life insurance
5. Generous Paid Time Off (PTO)
6. Tuition and training assistance
7. Financial rewards for employee referrals.
8. Pet insurance
9. Employee discount program
EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.
APPLY TODAY!
JOB ID- 359

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