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Machine Learning Government Jobs (NOW HIRING)

Element Solutions

Machine Learning/AI Engineer

We are seeking a highly skilled and motivated Machine Learning / AI Engineer to support a federal government program focused on designing, developing, and deploying production-grade artificial ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Our solutions embracing AI add measurable value to government agencies, commercial organizations ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Our solutions embracing AI add measurable value to government agencies, commercial organizations ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Our solutions embracing AI add measurable value to government agencies, commercial organizations ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

Our solutions embracing AI add measurable value to government agencies, commercial organizations ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Clifton Park, NY

Our solutions embracing AI add measurable value to government agencies, commercial organizations ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

True Anomaly

Machine Learning Engineer

Denver, CO · On-site

As a Machine Learning Engineer, you will contribute to the design and development of machine ... Government space technology export regulations, including the International Traffic in Arms ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to join their Applied Algorithms and Autonomy team ... Government space technology export regulations, including the International Traffic in Arms ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Thousands of companies, government organizations and individuals around the world rely on ...

Pluralsight, LLC

Machine Learning Engineer

Draper, UT

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Thousands of companies, government organizations and individuals around the world rely on ...

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Machine Learning Government information

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How much do machine learning government jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for machine learning government in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages. Such salaries reflect the high demand for expertise in AI and the complexity of the work involved.

Which 5 jobs will survive AI?

Machine Learning Government roles that involve complex decision-making, policy development, and oversight are less susceptible to automation. Jobs requiring human judgment, ethical considerations, and interpersonal skills—such as data analysts, AI ethics specialists, cybersecurity experts, government strategists, and technical trainers—are likely to persist alongside AI advancements. Continuous learning and certification in AI tools can also enhance job security in this field.

Which 3 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI ethics specialists, and cybersecurity professionals are likely to persist as AI automates routine tasks. These jobs require critical thinking, domain expertise, and ethical judgment that are difficult for AI to replicate fully. Skills in programming, data management, and regulatory knowledge will remain valuable in these fields.

Is ML a high paying job?

Machine Learning roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and organization, but they tend to be above average compared to many other roles in technology and government sectors.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

More about Machine Learning Government jobs
What cities are hiring for Machine Learning Government jobs? Cities with the most 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 Machine Learning Government jobs? States with the most job openings for Machine Learning Government jobs include:
What job categories do people searching Machine Learning Government jobs look for? The top searched job categories for Machine Learning Government jobs are:
Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

Element Solutions

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Who is Element?
We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people.
Why Work at Element?
Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future.
Position Summary:
We are seeking a highly skilled and motivated Machine Learning / AI Engineer to support a federal government program focused on designing, developing, and deploying production-grade artificial intelligence and machine learning solutions. The role will focus on building scalable, secure, and high-performing AI models that support mission-critical decision-making and operational efficiency.
The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation and feature engineering to model training, deployment, and monitoring-in a regulated government environment.
Key Responsibilities
  • Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization.
  • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models.
  • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments.
  • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference.
  • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions.
  • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies.
  • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations.
  • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations.
  • Document model architectures, training methodologies, and deployment processes for maintainability and auditability.

Minimum Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience).
  • 3+ years of experience in machine learning, data science, or AI engineering roles.
  • Proven experience delivering production-grade machine learning models in real-world environments.
  • Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
  • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic.
  • Experience leveraging Large Language Models (LLMs) in development.
  • Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions.
  • Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services).
  • Experience working with large-scale structured and unstructured datasets.
  • Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering.
  • Experience working in the federal government or other highly regulated environments with security and compliance requirements.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong collaboration skills across engineering, data, and product teams.
  • Ability to work independently in a fast-paced, mission-driven environment.
  • High attention to detail with a focus on model reliability and production readiness.
  • US Citizenship or Permanent Residency required.
  • Must reside in the Continental US.
  • Depending on the government agency, specific requirements may include public trust background check or security clearance.

Preferred Qualifications
  • Experience deploying models in cloud environments (AWS, Azure, or GCP).
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Experience with streaming or real-time inference systems.
  • Background in predictive maintenance, anomaly detection, or operational analytics use cases.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines for machine learning systems.
  • Experience supporting healthcare (e.g., CMS), or other federal mission systems.
  • Qualified individuals living in HUBZone-certified areas are strongly encouraged to apply. To find out if you live in a HUBZone go to: https://maps.certify.sba.gov/hubzone/map#center=44.722800,-103.249700&zoom=4.

$135,000 - $145,000 a year
The likely salary range for this position is $135,000-$145,000. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
Our People
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law.
Location
Be in your Element. We are a remote first company based out of Washington, DC. As a HUBZone-certified business we are committed to supporting local economic development.
Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class.
We believe in a world where solutions we build improve the lives of those who use them.

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