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Part Time Machine Learning Software Engineer Jobs

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and ...

$40 - $150/hr

Our Mathematics for Machine Learning curriculum bridges the gap between mathematical theory and ... We are building a talent pool of experienced Data Scientists, ML Engineers, and Applied ...

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 ...

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 ...

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 ...

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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Part Time Machine Learning Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of May 30, 2026, the average yearly pay for part time machine learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Software Engineer, and why are they important?

To thrive as a Part Time Machine Learning Software Engineer, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and relevant experience or a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is typically required. Excellent problem-solving abilities, time management, and clear communication are essential soft skills, especially when working independently or with remote teams. These skills ensure you can efficiently develop, implement, and maintain machine learning solutions while collaborating effectively on a flexible schedule.

How does working part-time as a Machine Learning Software Engineer impact collaboration with full-time team members?

As a part-time Machine Learning Software Engineer, you may encounter unique challenges in staying aligned with full-time colleagues, especially when working on fast-paced or iterative projects. Effective communication, clear documentation, and regular check-ins are essential to ensure seamless collaboration and project continuity. Many teams use asynchronous tools and flexible stand-up meetings to accommodate varying schedules, allowing part-time engineers to contribute meaningfully without missing critical updates. Proactively engaging with teammates and being transparent about your availability are key to maintaining strong collaborations and delivering successful outcomes.

What does a Part Time Machine Learning Software Engineer do?

A Part Time Machine Learning Software Engineer develops and deploys machine learning models and algorithms on a flexible, part-time schedule. They work on tasks such as data preprocessing, feature engineering, model training, and evaluation, often contributing to software projects that incorporate AI solutions. These engineers collaborate with teams to integrate machine learning models into applications, ensuring efficiency and accuracy, while balancing their workload within limited hours. Their role is ideal for those seeking flexible work arrangements in the rapidly evolving field of artificial intelligence.

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

AspectPart Time Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and software solutions; often collaborates with engineering teamsAnalyzes data, builds models, interprets results; may work in research or business teams
Industry UsageUsed in tech companies, startups, and industries applying ML solutionsCommon in finance, healthcare, marketing, and research sectors

While both roles involve working with data and algorithms, a Part Time Machine Learning Software Engineer primarily focuses on developing and deploying ML models within software applications, often in a part-time capacity. A Data Scientist emphasizes data analysis, interpretation, and modeling to inform business decisions. The roles overlap in skills and tools but differ in their core focus and responsibilities.

What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Part Time Machine Learning Software Engineer jobs? States with the most job openings for Part Time Machine Learning Software Engineer jobs include:
Software Engineer, Mid

Software Engineer, Mid

Booz Allen Hamilton, Inc.

Alexandria, VA • On-site

$69.40K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 9 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

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
No
Job Number:
R0239692
Location:
McLean,VA,US
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Additional Locations:
  • Alexandria, Virginia, USA

Software Engineer, Mid
The Opportunity:
As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation-we're looking for a software engineer like you to create artificial intelligence and machine learning solutions that help solve the nation's toughest problems.
On our team, you'll help create and implement complete end-to-end solutions that modernize client systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll build upon your skill set in areas like AI code generation.
Ready to transform global defense systems for the better with AI technology?
Join us. The world can't wait.
You Have:
  • 2+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods
  • 2+ years of experience with programming languages and libraries such as React, Angular, or Python
  • Experience with object-oriented programming, RESTful APIs, or microservices
  • Knowledge of AI systems architecture, AI platforms, or MLflow
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with SQL and NoSQL
  • Experience with automated testing tools to perform testing and maintenance
  • Experience with AI code generation tools and best practices
  • Knowledge of AWS tooling
  • Secret clearance
  • Master's degree

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 $69,400.00 to $158,000.00 (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