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

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Professional certifications such as Google Professional Machine Learning Engineer, Azure Data Scientist Associate, AWS Machine Learning Specialty, or TensorFlow Developer Certification. Clearance:

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and ...

AI Engineer

Springfield, VA · On-site

$100/hr

... SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement ... Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ...

AI Engineer

Springfield, VA · On-site

$100/hr

... SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement ... Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ...

Showing results 41-60

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.

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:
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.

AI/ML Engineer with Security Clearance

Booz Allen Hamilton

Fairfax, VA • On-site

$55K - $126K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Job Number: R0243237 AI/ML Engineer The Opportunity: As an AI/ML engineer, you know that artificial intelligence and machine learning methods are transforming entire industries at an accelerating pace. Your ability to develop user-focused solutions that increase operational efficiency and enable better decision-making makes you an integral part of a team focused on delivering a competitive edge for our client. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll learn from a talented team of machine learning engineers across the company and collaborate with data engineers, data scientists, solution architects and product owners to deliver world-class solutions to our nation's toughest problems . Ready to transform warfighter systems for the better with AI technology? Join us. The world can't wait. You Have: * Experience designing, modifying , developing, writing, and implementing software programming applications
* Experience with programming languages, technologies, tools, or web development stacks such as Javascript , Python, or Scala
* Knowledge of AI systems architecture, AI platforms, or MLflow
* Ability to obtain a Secret clearance
* Bachelor's degree in Computer Science or Applied Mathematics Nice If You Have: * Experience in software engineering
* Knowledge of Agile methodology
* Knowledge of artificial intelligence machine learning models
* S ecret clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914