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Machine Learning Part Time Jobs in Washington (NOW HIRING)

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Validate machine learning models and AI agents against defined performance, accuracy, and safety ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Knowledge of text mining or machine learning techniques * TS/SCI clearance with a polygraph ... 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.

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$69K - $158K/yr

Experience with application areas of machine learning, including computer vision, natural language ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Washington

Machine Learning Part Time information

See Washington salary details

$28.9K

$48.2K

$99.7K

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

As of Aug 20, 2026, the average yearly pay for machine learning part time in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 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 Washington?

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

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

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

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

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

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

Cities in Washington 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 Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

AI Solutions Engineer

Bechtel

Reston, VA • On-site

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 449 rated engineering

Job description

Requisition ID: 297512
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA
  • Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative. The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.
The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-RM1
Major Responsibilities:
  • Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.
  • Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.
  • Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.
  • Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.
  • Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.
  • Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.
  • Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.
  • Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.
  • Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.
  • Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.
  • Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 7+ years or more of experience in AI/ML engineering or data science roles.

Required Knowledge and Skills:
  • Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or Hugging Face).
  • Demonstrated experience in AI model validation, testing, and quality assurance, including evaluation of LLM or generative AI outputs.
  • Experience designing AI evaluation frameworks, test cases, benchmarks, or quality gates for machine learning, generative AI, or LLM-based solutions. Preferably hands-on with the tooling provided in Databricks
  • Understanding of large language models (LLMs), AI agents, prompt engineering, and agentic frameworks.
  • Strong analytical and problem-solving skills with high attention to detail and a rigorous approach to quality.
  • Ability to communicate technical findings and assurance outcomes clearly to both technical and non-technical stakeholders.
  • Experience preparing clear technical documentation, validation reports, model performance summaries, or governance evidence for AI/ML solutions.
    Preferred Qualifications
  • Experience with MLOps platforms and model deployment pipelines (e.g., Azure Machine Learning, MLflow, or equivalent).
  • Familiarity with responsible AI frameworks, bias detection methodologies, and model governance practices.
  • Experience with agentic AI platforms such as Microsoft Copilot Studio, AutoGen, LangChain, or similar frameworks.
  • Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and version control (Git).
  • Experience providing technical guidance, coaching, or training to engineering, data, or AI delivery teams.
  • Knowledge of EPC industry workflows, engineering data standards, and project delivery environments.
  • Experience with RAG (Retrieval-Augmented Generation) architectures and enterprise AI deployment patterns.
  • Demonstrated commitment to staying current with emerging AI, machine learning, LLM, and agentic AI technologies and translating relevant developments into practical implementation guidance.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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