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Freelance Machine Learning Engineer Jobs (NOW HIRING)

ICONMA

Machine Learning Engineer

Mclean, VA

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

ManTech

Machine Learning Engineer

Herndon, VA

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...

Poesis LLC

Machine Learning Engineer

Menlo Park, CA

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

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Freelance Machine Learning Engineer information

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$14

$47

$132

How much do freelance machine learning engineer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for freelance machine learning engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What does a Freelance Machine Learning Engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Engineer, and why are they important?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

More about Freelance Machine Learning Engineer jobs
What cities are hiring for Freelance Machine Learning Engineer jobs? Cities with the most Freelance Machine Learning Engineer job openings:
What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
What states have the most Freelance Machine Learning Engineer jobs? States with the most job openings for Freelance Machine Learning Engineer jobs include:
What job categories do people searching Freelance Machine Learning Engineer jobs look for? The top searched job categories for Freelance Machine Learning Engineer jobs are:
Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Machine Learning Engineer

Waypoint Human Capital

Huntsville, AL • On-site

Full-time

Posted 14 days ago

Job description

Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint’s client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
• Integrate machine learning systems into existing software architectures and enterprise platforms
• Design, build, and optimize data pipelines to support model training and inference
• Develop, test, and deploy machine learning models into production environments
• Manage transition from prototype to production, including deployment pipelines and monitoring solutions
• Monitor model performance, including handling model drift, rollback, and failure scenarios
• Conduct experiments and testing to evaluate and improve model accuracy and performance
• Write clean, maintainable, and testable code in Python and related technologies
• Collaborate with cross-functional teams to integrate ML capabilities into mission systems
• Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
• Support development in Linux and Windows environments
Required:
• Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
• Minimum 12+ years of overall experience, including 1–3 years working with machine learning frameworks
• Strong programming skills in Python
• Experience with machine learning frameworks, libraries, and data modeling techniques
• Solid understanding of the machine learning lifecycle
• Experience working with SQL and NoSQL databases
• Experience working in Linux and Windows environments
• Familiarity with CI/CD pipelines and Agile development methodologies
• Understanding of software design and system integration principles
Desired:
• Active TS/SCI with CI Polygraph (desired)
• Experience working with large-scale (petabyte-level) datasets
• Experience supporting multi-INT analytics environments
• Experience deploying, monitoring, and scaling machine learning models in production
• Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
• Experience implementing GitOps workflows
• Experience working in secure or classified environment