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Machine Learning Developer Jobs (NOW HIRING)

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...

ClifyX

Machine Learning developer

Dallas, TX · On-site

Machine Learning Role: Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like ...

Harris Allied

Machine Learning Developer/Python

Manhattan, NY · Hybrid

$55.50 - $76.25/hr

Machine Learning Developer Global financial services leader has an immediate need for a Machine Learning Developer to join their growing team in a full-time, hybrid role based in Manhattan. The ...

New

Apolis

$46.50 - $64/hr

Python/Machine Learning Developer We are seeking a Python/Machine Learning Developer to design, build, and deploy machine learning models and algorithms. The ideal candidate will have strong ...

Apolis

Python/Machine Learning Developer

Dallas, TX · Remote

$50 - $68.75/hr

Role: Python/Machine Learning Developer Location: Remote Duration: 7+ Months Only W2 We are seeking a Python/Machine Learning Developer to design, build, and deploy machine learning models and ...

SynergisticIT

Machine Learning Developer

Miami, FL · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

SynergisticIT

Machine Learning Developer

Boston, MA · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Machine Learning Engineer Role Summary: The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

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How much do machine learning developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for machine learning developer in the United States is $38.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $51.92 per hour, depending on experience, location, and employer.

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

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

What are some common challenges faced by Machine Learning Developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What does a Machine Learning Developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

More about Machine Learning Developer jobs
What cities are hiring for Machine Learning Developer jobs? Cities with the most Machine Learning Developer job openings:
What are the most commonly searched types of Machine Learning Developer jobs? The most popular types of Machine Learning Developer jobs are:
What states have the most Machine Learning Developer jobs? States with the most job openings for Machine Learning Developer jobs include:
What job categories do people searching Machine Learning Developer jobs look for? The top searched job categories for Machine Learning Developer jobs are:
Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 15% Part Time, 19% Contract, 2% Nights, and 2% Summer. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $79,911 per year, or $38.4 per hour.
Machine Learning Developer

Machine Learning Developer

SAIC

Arlington, VA • Hybrid

Other

Posted 20 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 204 rated it services

Job description

Job ID: 2611091
Location: Arlington, VA, US
Date Posted: 2026-05-05
Category: Software
Subcategory: SW Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID
Description
SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.
This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.
Key Responsibilities:
  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
  • Refine data collection processes and improve data quality.
  • Design and develop scalable machine learning solutions for various applications.
  • Work with software developers to integrate machine learning models into production systems.
  • Conduct research to identify new approaches and methods for machine learning and AI.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Document processes, codes, and workflows for future reference and reproducibility.
  • Provide support and maintenance for deployed machine learning systems.

Qualifications
Required Education:
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

Qualifications:
  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
  • Strong programming skills in Python, R, C#, Java or similar languages.
  • Experience with deep learning techniques and models.
  • Expertise in natural language processing (NLP) or computer vision.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Experience with data preprocessing, data mining, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Familiarity with software development best practices and source control (e.g., Git).

Clearance:
  • Active Secret clearance is required for this position.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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