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Freelance Mlops Engineer Jobs (NOW HIRING)

Mindrift

Freelance Machine Learning Engineer

$90/hr

Create problems that require Python programming to solve * Ensure problems are computationally ... Understanding of MLOps practices and model deployment workflows * Knowledge of modern frameworks ...

Mindrift

Machine Learning Developer (Freelance)

$90/hr

Create problems that require Python programming to solve * Ensure problems are computationally ... Understanding of MLOps practices and model deployment workflows * Knowledge of modern frameworks ...

Alignerr

Senior Machine Learning Expert

Manhattan, NY · Remote

$95K - $118K/yr

... feature engineering * Background in MLOps, model interpretability, or AI safety research ... Freelance autonomy with the structure of meaningful, high-impact technical work * Collaborate with ...

All JobsFreelance Mlops Engineer Jobs

Freelance Mlops Engineer information

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$14

$47

$132

How much do freelance mlops engineer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for freelance mlops 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 are the key skills and qualifications needed to thrive as a Freelance MLOps Engineer, and why are they important?

To thrive as a Freelance MLOps Engineer, you need strong expertise in machine learning workflows, software engineering, and cloud infrastructure, often backed by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD platforms, cloud services (e.g., AWS, Azure, GCP), and familiarity with version control systems and ML frameworks is essential. Excellent problem-solving, communication, and project management skills help freelancers deliver solutions and collaborate effectively with diverse clients. These skills ensure reliable deployment, scalability, and maintenance of machine learning systems in dynamic, client-driven environments.

What are Freelance MLOps Engineers?

Freelance MLOps Engineers are independent professionals who specialize in deploying, managing, and optimizing machine learning models in production environments. They work with organizations on a project or contract basis to build robust ML pipelines, automate workflows, and ensure models are reliable, scalable, and maintainable. Their roles often include tasks like setting up infrastructure, monitoring model performance, and collaborating with data scientists and engineers to streamline the machine learning lifecycle.

What is the difference between Freelance Mlops Engineer vs Data Scientist?

AspectFreelance Mlops EngineerData Scientist
CredentialsRelevant certifications in MLOps, cloud platforms, and DevOpsDegree in Data Science, Statistics, or related fields
Work EnvironmentRemote, project-based, often freelance or contractRemote or on-site, typically full-time in organizations
Industry UsageTech companies, startups, consulting firmsResearch institutions, tech companies, finance, healthcare

The Freelance Mlops Engineer focuses on deploying, maintaining, and optimizing machine learning models in production environments, often working independently on various projects. In contrast, Data Scientists primarily analyze data, develop models, and generate insights, usually within a company's team. While both roles require technical expertise, their core responsibilities and work settings differ significantly.

What are some common challenges freelance MLOps engineers face when working with clients remotely?

Freelance MLOps engineers often encounter challenges such as aligning infrastructure requirements with client expectations, navigating varying cloud platforms and tools, and ensuring seamless deployment pipelines across different environments. Communication is key, as remote collaboration may lead to misunderstandings about project scope or timelines. Proactively setting up clear documentation, regular check-ins, and version control practices can help manage these challenges effectively and ensure successful project delivery.
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What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
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Freelance Mlops Engineer jobs near you
Infographic showing various Freelance Mlops Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. 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.

Freelance Machine Learning Engineer

Mindrift

Remote

$90/hr

Part-time

Posted 28 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
  • Design original computational STEM problems that simulate real scientific workflows
  • Create problems that require Python programming to solve
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
  • Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
  • Document problem statements clearly and provide verified correct answers

What we look for
This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
  • 5+ years of hands-on machine learning experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving
  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • Expert with SQL and database operations for data manipulation and analysis
  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  • Strong written English (C1+).

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply