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Artificial Intelligence Machine Learning Engineer Jobs

International Executive Service Corps

$149 - $170/hr

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA. TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office ...

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Artificial Intelligence Machine Learning Engineer information

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$31.5K

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$193.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, 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 are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer 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 $128,769 per year, or $61.9 per hour.

Artificial Intelligence/Machine Learning Systems Engineer

International Executive Service Corps

On-site

$149 - $170/hr

Other

Medical, Life, Retirement, PTO

Posted 5 days ago

Job description

FTS International, LLC (FTS) is committed to providing the Federal Government with quality consultants and support.To ensure mission success we focus on putting our customers first while minimizing corporate bureaucracy onour staff.We provide Subject Matter Experts (SME) free of Organizational Conflicts of Interest (OCI)focused onindependent analysis and mission support services within the disciplines of Engineering, Counter Terrorism Operations, Management, Information Technology, Signals Analysis, Administration, Cyber Security and Linguistics.

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA.

TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office leading the Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms.

Responsibilities

  • Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials

  • Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection

  • Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems

  • Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination

  • Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs

  • Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment

  • Support systems engineering activities such as risk management, schedule management, and technical performance management

  • Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations

  • Assessment of white papers and vendor marketing materials

Required Skills/Qualifications

  • TS/SCI with polygraph

  • BS STEM (Science, Technology, Engineering, or Math) in engineering discipline

  • 9+ years' relevant experience

  • Demonstrated acquisition support experience of 5 or more years

  • AI/ML experience

  • Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)

  • Proficient skills using Jira and Confluence tools

  • Critical thinking, problem-solving, and analytical skills

  • Interpersonal and communication skills for written reports, group discussion, and oral presentations

Desired Skills/Qualifications

  • MS STEM (Science, Technology, Engineering, or Math) in engineering discipline

  • Knowledge, skills, abilities, and/or experience in one of more of the following:

    • Systems engineering and integration applied to spacecraft, ground, and launch systems

    • R&D of artificial intelligence/machine learning agents

    • System acquisition, design, development, integration, test, and/or flight operations

    • Artificial Intelligence and/or Machine Learning technologies applied to space systems

    • IC mission, organizations, disciplines, systems, and/or processes

  • Experience working as a SETA

  • General understanding of satellite architecture (payloads and bus sub-systems)

  • General understanding of satellite operations (planning & scheduling, mission management, and command and control

Expected Salary Range:$149,000 - $170,000 per year. Placement within the range is determined by qualifications, job-related criteria, experience, internal equity and market considerations. In addition, FTS International, LLC has benefits offerings in addition to salary to include Health Insurance, Paid Time Off, Life Insurance, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

FTS International, LLC is an Equal Opportunity Employer – vets/disabled.

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