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Remote Machine Learning Government Jobs (NOW HIRING)

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ... Thousands of companies, government organizations and individuals around the world rely on ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

... government and commercial customers. By breaking down complex problems to their fundamental ... We are a remote first company based out of Washington, DC. As a HUBZone-certified business we are ...

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

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Remote Machine Learning Government information

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$25.5K

$42.6K

$88K

How much do remote machine learning government jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote machine learning government in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
More about Remote Machine Learning Government jobs
What cities are hiring for Remote Machine Learning Government jobs? Cities with the most Remote Machine Learning Government job openings:
What are the most commonly searched types of Machine Learning Government jobs? The most popular types of Machine Learning Government jobs are:
What states have the most Remote Machine Learning Government jobs? States with the most job openings for Remote Machine Learning Government jobs include:
Infographic showing various Remote Machine Learning Government job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 18% Part Time, 6% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 24 days ago


Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.