ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Missouri

Bespoke Labs

Machine Learning Engineer

Columbia, MO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Walmart

Staff, Machine Learning Engineer

Cassville, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Missouri

Artificial Intelligence Machine Learning Engineer information

See Missouri salary details

$29.5K

$120.8K

$181.5K

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

As of Jul 13, 2026, the average yearly pay for artificial intelligence machine learning engineer in Missouri is $120,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $145,400.00 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 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.

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 are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Missouri? For Artificial Intelligence Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Missouri with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you

Intellectual Property (IP) Technical Specialist

Amatriot Group, LLC

Saint Louis, MO • On-site, Remote

$125K - $175K/yr

Full-time

Posted 29 days ago

Job description

Security Clearance: Active TS/SCI [Required]

Location: St. Louis, Missouri OR Springfield, Virginia

Job Type: Full-Time

Target Salary Range*: $125,000-175,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

The Amatriot Group is currently seeking an Intellectual Property (IP) Technical Specialist to support work with the National Geospatial-Intelligence Agency. The ideal candidate is a subject matter expert with experience in computer architecture, artificial intelligence, machine learning, deep learning, computer vision, software engineering, and other computer science and computer engineering fields who can assess inventions in these fields for patentability.

The Intellectual Property Technical Specialist will support the NGA Office of Research and Technology Applications and the Office of General Counsel with patent assessments, preparation of patent applications related to inventions, and drafting responses to U.S. Patent and Trademark Office actions.

This position will be performed at NGA offices in either St. Louis, MO, or Springfield, VA. Remote work capabilities are authorized on an as-needed basis.

Key ResponsibilitiesPatent Search and Patentability Assessment
  • Conduct patent searches to assess the novelty and patentability of computer architecture, artificial intelligence, and other computer science and computer engineering inventions.
  • Conduct interviews with inventors to capture all required aspects of technologies submitted for the ORTA to make patenting recommendations.
Patent Application and Prosecution Support
  • Collaborate with inventors and OGC to develop patent prosecution strategy.
  • Work closely with OGC to prepare patent applications, including drafting specifications, drawings, and claims.
  • Ensure technical accuracy of the subject matter in patent applications.
  • Provide technical and legal research and analysis to assist OGC in support of NGA submissions pending before the USPTO.
  • Assist OGC with preparing responses to USPTO actions and docket management.
Documentation and Records Management
  • Ensure procedures are in place to classify and maintain records.
  • Interpret and enforce documentation formatting, standards, policies, and operating procedure requirements.
QualificationsEducation

  • B.S. in Computer Science, Computer Engineering, or closely related field.

Experience
  • 5 years of experience related to the job responsibilities listed above with a Bachelor’s degree in a related field; or
  • 3 years of relevant experience with a Master’s degree in a related field; or
  • No years of experience with a PhD in a related field.
  • Demonstrated technical expertise in one or more of the following:
    • Computer architecture
    • Artificial intelligence
    • Machine learning
    • Deep learning
    • Computer vision
    • Software engineering
    • Programming
Skills
  • Ability to work independently with minimal guidance.
  • Demonstrated superior writing and analytical skills.
  • Knowledge of the Patent Laws, Manual of Patent Examining Procedure, and USPTO regulations.
Clearance

  • TS/SCI security clearance required.

Preferred Qualifications
  • Candidates located near NGA offices in either St. Louis, MO, or Springfield, VA.
  • USPTO registration preferred.
  • Submissions to technical journals and authoring white papers in computer science, engineering, or related fields.
  • Ability to work in a fast-paced environment with quick turnaround times and minimal supervision.

Apply