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Machine Learning Developer Jobs (NOW HIRING)

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

$125 - $150/hr

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

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

SAIC

AI Machine Learning Developer Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work:

New

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine ...

New

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$125 - $150/hr

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...

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Machine Learning Developer information

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How much do machine learning developer jobs pay per hour?

As of Sep 8, 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 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 are the key skills and qualifications needed to thrive as a machine learning developer?

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 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.

Is machine learning a high paying job?

Machine learning developers typically earn high salaries due to the specialized skills required, such as programming in Python or R and understanding algorithms. Salaries vary based on experience, location, and industry, but overall, the role is considered well-compensated within the tech field.
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Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,911 per year, or $38.4 per hour.

Sr. Artificial Intelligence & Machine Learning Developer

Ryerson Holding Corporation

Downers Grove, IL • On-site

$131K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support

  • Build and maintain AI/ML infrastructure, products, models, and agents across business functions

  • Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements

Ryerson rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

132nd of 429 rated retail wholesalers

Job description

Sr. Artificial Intelligence & Machine Learning Developer
Req Id: 2940
Workplace Type: Hybrid
Job Shift: 1st
Brand: Ryerson
Job Location: Downers Grove
Posting Start Date: 8/14/26
Summary
Welcome to Ryerson, where exceptional career opportunities await. As a leading provider of industrial and OEM metal products and services since 1842, we are committed to excellence and best-in-class customer service. Join our team and be a part of a legacy of excellence, where your contributions will be valued, and your development supported. Ryerson offers a dynamic, quality-focused, environment, ideal for advancing your career and making your mark in the metals industry.
As a Sr. Artificial Intelligence & Machine Learning Developer at Ryerson, you will lead the design, development, and support of AI and machine learning solutions that help improve business processes and decision-making. This role will own key AI/ML platforms, tools, and integrations while helping expand the use of automation, agents, and predictive models across the organization. You will work with business stakeholders to build scalable, secure, and practical AI solutions that deliver measurable value. This position follows a hybrid work schedule, with employees expected to work from the office Tuesday through Thursday each week.
Roles and Responsibilities
  • Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support
  • Build and maintain AI/ML infrastructure, products, models, and agents across business functions
  • Serve as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure services
  • Support agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools
  • Monitor changes in AI/ML technology and recommend tools or capabilities that support business needs
  • Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption
  • Document systems, models, decisions, and processes for technical and business users
  • Partner with stakeholders to define model goals, success measures, timelines, and delivery plans
  • Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements
  • All other duties as assigned or duties, responsibilities, and activities may change at any time with or without notice

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field
  • 4 plus years of experience developing, deploying, and supporting AI/ML applications
  • Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions
  • Experience building and deploying AI/ML models, agents, and algorithms
  • Strong knowledge of MLOps practices, including model versioning, automation, and monitoring
  • Experience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFace
  • Knowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle management
  • Strong organization, communication, and project management skills

Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale.
Ryerson offers eligible employees the following benefits:
  • Medical, dental, and vision insurance programs
  • 401K plans with employer-matching contributions
  • Paid vacation, sick, and holidays

#LI-GC1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex (including gender identity, sexual orientation or preference, and pregnancy), age, national origin, religion, disability or genetic information, marital status, status as a veteran, or any other federal, state or local protected class or artificial barrier.

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