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Part Time Engineering Jobs in Laurel, MD (NOW HIRING)

Bechtel

Project Engineering Manager

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA, Various Work Locations USA * Salary ... The Project Engineering Manager (PEM) will lead the development and execution of combined cycle ...

Stantec

Engineering Project Manager

Washington, DC · On-site

$107K - $155K/yr

Our architects, engineers, interior designers, consultants, sustainability specialists, and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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All JobsEngineering JobsPart Time Engineering JobsPart Time Engineering Jobs in Laurel, MD

Part Time Engineering information

See Laurel, MD salary details

$12

$31

$56

How much do part time engineering jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for part time engineering in Laurel, MD is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $37.64 per hour, depending on experience, location, and employer.

What is part time engineering?

Part time engineering refers to engineering positions that require fewer working hours than a standard full-time job, typically offering flexible schedules. These roles may be ideal for students, parents, retirees, or those seeking additional work-life balance. Part-time engineers perform many of the same duties as full-time engineers, such as designing, analyzing, or maintaining systems, but on a reduced schedule. This arrangement can be found in various engineering fields, including civil, mechanical, electrical, and software engineering.

What are the key skills and qualifications needed to thrive as a part time engineer?

To thrive as a Part Time Engineer, you need a solid background in engineering principles, problem-solving abilities, and a relevant degree or coursework in your specific discipline. Familiarity with industry-standard design software (such as AutoCAD or SolidWorks), data analysis tools, and sometimes certifications like EIT or FE are typically beneficial. Strong time management, communication, and teamwork skills help you efficiently balance project demands and collaborate effectively in limited working hours. These competencies ensure you can contribute meaningful results and maintain productivity within a flexible or reduced schedule.

What are some common challenges faced by part time engineers, and how can they be addressed?

Part-time engineers often face challenges such as balancing multiple responsibilities, staying updated with project changes, and maintaining effective communication with full-time team members. To address these issues, it's important to establish clear expectations with supervisors, use collaborative tools for project tracking, and proactively schedule regular check-ins with the team. Adopting these practices can help part-time engineers stay engaged and ensure their contributions align with overall project goals.

What is the difference between Part Time Engineering vs Part Time Engineering Technician?

AspectPart Time EngineeringPart Time Engineering Technician
Required CredentialsEngineering degree or courseworkTechnical diploma or associate degree in engineering technology
Work EnvironmentDesign, analysis, project planningTesting, troubleshooting, equipment maintenance
Employer & Industry UsageEngineering firms, manufacturing, constructionManufacturing plants, labs, technical support roles

Part Time Engineering roles typically involve design, analysis, and project planning, requiring an engineering degree. In contrast, Part Time Engineering Technicians focus on testing, troubleshooting, and equipment maintenance, often requiring a technical diploma. Both roles are common in manufacturing, construction, and engineering industries, but they differ in responsibilities and required credentials.

What are the most commonly searched types of Engineering jobs in Laurel, MD?

The most popular types of Engineering jobs in Laurel, MD are:

What are popular job titles related to Part Time Engineering jobs in Laurel, MD?

For Part Time Engineering jobs in Laurel, MD, the most frequently searched job titles are:

What job categories do people searching Part Time Engineering jobs in Laurel, MD look for?

The top searched job categories for Part Time Engineering jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Part Time Engineering jobs?

Cities near Laurel, MD with the most Part Time Engineering job openings:

Part Time Engineering jobs near you
Infographic showing various Part Time Engineering job openings in Laurel, MD as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $65,064 per year, or $31.3 per hour.

CLOUD - AI/ML Engineer (Part Time)

Steel Point Solutions

Fort George G Meade, MD

Part-time, Contractor

Posted 10 days ago

Job description

Steel Point Solutions is an amazing SBA Certified (8a), HUBZone, Small Disadvantaged Business (SDB) and a Woman Owned Small Business (WOSB) company. Established in 2013 with a vision of offering world class, integrated business solutions for all levels of Government and commercial enterprises. We are represented by a team of talented and qualified professionals who know how essential efficient, cost-effective integrated solutions are to your organization's success. Leveraging these resources, we strive daily to lead the industry in program management and service delivery. 

Role Summary

The AI/ML Engineer serves in a part-time, 1099 independent contractor capacity and is responsible for designing, developing, and deploying machine learning models and artificial intelligence solutions that drive Steel Point's data-driven initiatives. This role involves creating algorithms, working with large datasets, and implementing AI/ML solutions to solve complex business challenges. The AI/ML Engineer will collaborate with data scientists, software engineers, and other stakeholders to integrate, optimize, and scale AI/ML systems within existing infrastructure.

Key Roles & Responsibilities

  • Model Development: Design, develop, and train machine learning models, including supervised, unsupervised, and reinforcement learning algorithms.
  • Data Processing: Prepare and preprocess large datasets for training and validation of AI/ML models, including data cleaning, feature engineering, and transformation.
  • Algorithm Implementation: Implement and optimize AI/ML algorithms using industry-standard libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Deployment: Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
  • Performance Monitoring: Monitor and evaluate model performance, making necessary adjustments and improvements to enhance accuracy and efficiency.
  • Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and integrate AI/ML solutions into applications and systems.
  • Documentation: Create and maintain documentation for AI/ML models, including design, development, and deployment processes.
  • Innovation: Stay updated with the latest advancements in AI/ML technologies and methodologies, applying new techniques to improve existing models and solutions.
  • Ethics and Compliance: Ensure AI/ML solutions adhere to ethical guidelines and regulatory requirements, including fairness, transparency, and privacy.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 3+ years of experience in AI/ML engineering, including hands-on experience with model development and deployment.
  • 3+ years of experience with data processing and manipulation using tools such as Pandas, NumPy, and SQL.
  • Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras)
  • Candidate Must Have an Active Top Secret SCI Poly Security Clearance. 

Preferred Qualifications

  • A Master's degree or PhD in a relevant field is preferred
  • Certifications:
    • AI/ML-related certifications (e.g., Google Cloud Certified - Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty) are preferred.
    • Certifications in data science or analytics (e.g., Certified Data Scientist) are a plus.

Skills and Competencies

  • Machine Learning: Strong knowledge of machine learning algorithms, techniques, and best practices.
  • Data Engineering: Proficiency in data processing, feature engineering, and working with large datasets.
  • Technical Skills: Experience with AI/ML frameworks and libraries, and programming languages such as Python, R, or Java.
  • Problem-Solving: Strong analytical and problem-solving skills to address complex AI/ML challenges and optimize model performance.
  • Collaboration: Ability to work effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Ethical Awareness: Understanding of ethical considerations and regulations related to AI/ML technologies, including fairness and privacy.

Candidates from Historically Underutilized Business Zones (HUBZone) are strongly encouraged to apply. To determine whether you reside in a HUBZone, visit: https://maps.certify.sba.gov/hubzone/map.

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