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Machine Learning Part Time Jobs in Maryland (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experience d AI and ML engineer, you know that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

You know that machine learning is critical to understanding and processing massive datasets. Your ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

$62K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

Experience applying machine learning or natural language processing to operational or intelligence ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

Knowledge of statistical analysis, predictive modeling, and machine learning met hods * Ability to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

BOOZ, ALLEN & HAMILTON, INC.

$99K - $225K/yr

Experience with natural language processing, text mining, or machine learning techniques * Public ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Maryland

Machine Learning Part Time information

See Maryland salary details

$24.7K

$41.3K

$85.4K

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

As of Aug 24, 2026, the average yearly pay for machine learning part time in Maryland is $41,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in Maryland?

The most popular types of Machine Learning jobs in Maryland are:

What are popular job titles related to Machine Learning Part Time jobs in Maryland?

For Machine Learning Part Time jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in Maryland look for?

The top searched job categories for Machine Learning Part Time jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Part Time jobs?

Cities in Maryland with the most Machine Learning Part Time job openings:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,329 per year, or $19.9 per hour.

Machine Learning Engineer-Arlington, Virginia

BOOZ, ALLEN & HAMILTON, INC.
IT Services • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students

Learn more about BOOZ, ALLEN & HAMILTON, INC.external

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Machine Learning Engineer
The Opportunity:
As an experience d AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for national security.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with artifi cia l intelligence, data science, sof tware engineering, or machine learning engineering, including developing and deploying models
  • Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph
  • Experience developing code using a common programming language, including Python, C++, Rus t, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience with supervised and unsupervised learning
  • Experience leveraging AI productivity tools for coding using tools such as Cursor

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance 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 $77,600.00 to $176,000.00 (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.
Booz Allen Hamilton logo

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

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