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Part Time Mlops Jobs (NOW HIRING)

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... 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

Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...

TEGNA Inc.

Director, AI & Automation

New York, NY · On-site

$175K - $200K/yr

Proficiency in MLOps, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Bechtel

Senior Data Scientist / AI Engineer

Reston, VA · On-site +1

$106K - $154K/yr

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $106,900 - $154,700 ... Strong MLOps practice: CI/CD for model deployment, containerization (Docker, Kubernetes ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$99K - $225K/yr

... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Ancestry

Machine Learning Engineer, Co-op

This is a part-time, work-study-based opportunity for active students in master's and PhD programs ... Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment.

Cars and Bids LLC

Senior Data Engineer - Contractor

$80 - $120/hr

... part-time retainer basis. The engagement * Structure : Independent contractor (1099/B2B) on a ... Working knowledge of MLOps fundamentals: keeping training pipelines running, feature tables fresh ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site +1

$98K - $129K/yr

Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

This is a part-time, work-study-based opportunity for active students in master's and PhD programs ... Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment.

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Part Time Mlops information

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

To thrive as a Part Time MLOps Engineer, you need a solid background in machine learning concepts, software engineering, and cloud infrastructure, often supported by a relevant degree or certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP is essential. Strong problem-solving, collaboration, and communication skills help you work effectively with data scientists and developers. Mastery of these areas ensures the efficient deployment, scaling, and maintenance of machine learning models in production environments.

What is the difference between Part Time Mlops vs Data Engineer?

AspectPart Time MlopsData Engineer
CredentialsRelevant certifications in MLOps, cloud platforms, programmingData management, SQL, cloud certifications
Work EnvironmentRemote or flexible, project-basedOffice or remote, infrastructure-focused
Industry UsageAI/ML projects, deployment pipelinesData pipelines, database management
Search & Comparison IntentUnderstanding MLOps roles, part-time opportunitiesData infrastructure, engineering roles

Part Time Mlops roles focus on deploying and maintaining machine learning models, often requiring cloud and automation skills, while Data Engineers build and manage data pipelines and infrastructure. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

What are part-time MLOps jobs?

Part-time MLOps jobs involve working reduced hours on tasks related to machine learning operations. MLOps professionals help manage and automate the deployment, monitoring, and maintenance of machine learning models in production environments. These roles may include responsibilities like setting up CI/CD pipelines for ML models, managing cloud infrastructure, monitoring model performance, and collaborating with data scientists. Part-time roles are ideal for those seeking flexible work schedules or supplementary income while still contributing to the development and operationalization of AI solutions.

What are some common challenges faced by part-time MLOps professionals, and how can they be managed effectively?

Part-time MLOps professionals often face the challenge of balancing project continuity with limited working hours. Coordination with full-time data scientists and engineers can be demanding, especially when aligning on deployment schedules or troubleshooting issues. To manage these challenges, clear communication, thorough documentation, and use of collaborative tools are crucial. Regular check-ins with the team and setting realistic expectations for deliverables can also help ensure smooth workflow and project progress.
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Part Time Mlops jobs near you
Infographic showing various Part Time Mlops job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

AI Engineer

D. Kent Consulting Group, LLC

Springfield, VA • On-site

$100/hr

Part-time

Posted 10 days ago

Job description

About the Role: 
 
Make an Impact in Federal AI — Without a Full-Time Commitment
DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you. 
 Responsibilities: 
  • Design, develop, and deploy machine learning models and AI-powered applications
  • Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
  • Build and maintain data pipelines, model training workflows, and inference systems
  • Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
  • Monitor model performance, conduct testing, and iterate on improvements
  • Document technical architectures, methodologies, and best practices
  • Stay current with AI/ML research and translate advancements into practical applications
Requirements:
  •  Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Proven experience in machine learning, deep learning, or AI engineering
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders
Preferred
  • Master’s degree in a related field
  • Federal AI strategy, digital transformation, or data modernization experience
  • Familiarity with Responsible AI and AI governance
  • Consulting experience supporting government clients
Why This Role
  • Flexible part-time commitment
  • High-impact federal mission work
  • Opportunity to apply senior AI expertise in a strategic advisory capacity
  • Work with a women-owned small business supporting complex government environments
 Apply Today
Please submit your resume and a brief summary of your relevant federal AI experience. 
 
About Us:
DKC Group, is a Maryland based consulting firm dedicated to delivering innovative, technology-driven solutions to our clients. We pride ourselves on a culture of collaboration, continuous learning, and excellence that keeps both our clients and our team members coming back. At D. Kent Consulting Group, you'll find a dynamic environment where your ideas are valued, and your career can truly thrive.