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How much do artificial intelligence machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for artificial intelligence machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

Is artificial intelligence machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.
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Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $54,803 per year, or $26.3 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 17 days ago

Ryerson rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

132nd of 428 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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