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Part Time Full Stack Machine Learning Engineer Jobs in Washington, DC

Develop and maintain full-stack web applications. Build and support server-side components using ... Part-time telecommuting permitted. Travel and work in various unanticipated work locations in the U.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

As a machine learning engineer on our Global Defense team, you'll train, test, deploy, and maintain ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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

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

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

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 ...

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

Machine Learning Tutor

Laurel, MD · 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 ...

Machine Learning Tutor

Bowie, MD · 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 ...

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Showing results 1-20

Part Time Full Stack Machine Learning Engineer information

See Washington, DC salary details

$50.4K

$152.6K

$215.8K

How much do part time full stack machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time full stack machine learning engineer in Washington, DC is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Washington, DC? The most popular types of Full Stack Machine Learning Engineer jobs in Washington, DC are:
What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in Washington, DC? For Part Time Full Stack Machine Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Washington, DC look for? The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Washington, DC are:
Full Stack Developer, Senior

Full Stack Developer, Senior

Booz Allen Hamilton, Inc.

Ashburn, VA • On-site

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243490
Location:
Ashburn,VA,US
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Full Stack Developer, Senior
The Opportunity:
As a full stack developer, you will support a high-visibility Federal client initiative focused on expanding their Enterprise LLM capability. The ideal candidate is a hands-on engineer who can work across the full technology stack, from developing intuitive user interfaces and backend services to building APIs, connectors, AI-enabled workflows, and cloud-native applications. This individual will help design and implement the systems that power enterprise search, AI-driven applications, and mission-critical integrations within a secure government environment.
This role is more than just coding. As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements.
Work with us as we shape systems for the better.
Join us. The world can't wait.
You Have:
  • 5+ years of experience developing and delivering enterprise software applications across both front-end and back-end technologies
  • Experience designing, developing, and maintaining full-stack web applications
  • Experience building RESTful APIs and system integrations and building and consuming APIs across enterprise environments
  • Experience with SQL and database including relational and NoSQL database technologies
  • Experience developing and integrating microservices, distributed applications, multiple systems, applications, and data sources
  • Experience developing secure cloud-native applications within AWS, GCP, or Azure
  • Experience with Java, Python, C#, C/C++, .NET, JavaScript, and React
  • Experience with JavaScript, TypeScript, and modern web application frameworks
  • Public Trust
  • Bachelor's degree

Nice If You Have:
  • Experience acquiring client requirements and resolving workflow problems through automation optimization
  • Experience with AI-enabled applications, Generative AI, LLMs, AI Agents, or enterprise search solutions
  • Ability to work with automated testing tools to perform testing and maintenance
  • Master's degree

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.
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 $86,800.00 to $198,000.00 (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