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Part Time Mlops Jobs (NOW HIRING)

Mindrift

Freelance Machine Learning Engineer

$90/hr

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Understanding of MLOps practices and model deployment workflows * Knowledge of modern frameworks ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Mindrift

Machine Learning Developer (Freelance)

$90/hr

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Understanding of MLOps practices and model deployment workflows * Knowledge of modern frameworks ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... 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

Reston, VA · On-site

$99K - $225K/yr

Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... 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, Mid

Reston, VA · On-site

$77K - $176K/yr

Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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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 May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Remote Machine Learning Engineer (Part-Time) - AI & MLOps

Crossing Hurdles

Manhattan, NY • Remote

$70 - $250/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

A technology consulting firm is seeking a part-time Machine Learning Engineer to join their network and assist in machine learning model development and applied AI optimization. This remote role requires proficiency in Python and ML frameworks like PyTorch or TensorFlow. Candidates will collaborate with various engineering teams and support MLOps workflows.

Compensation ranges from $70 to $250 per hour based on experience, with a commitment of 10 to 40 hours per week. #J-18808-Ljbffr

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