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Machine Vision Engineer Jobs in Missouri (NOW HIRING)

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Machine Vision Engineer information

See Missouri salary details

$29.5K

$120.8K

$181.5K

How much do machine vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine vision 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 a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What job categories do people searching Machine Vision Engineer jobs in Missouri look for?

The top searched job categories for Machine Vision Engineer jobs in Missouri are:

What cities in Missouri are hiring for Machine Vision Engineer jobs?

Cities in Missouri with the most Machine Vision Engineer job openings:

Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,786 per year, or $58.1 per hour.

Machine Learning Engineer 727

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
This is a hands-on engineering position focused on moving models from research into reliable production systems.
Responsibilities:
  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned

Key Technologies
  • A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications
  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking

Desired Qualifications
  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

What's in It for You?
Flexible work environment
A team mentality - work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Enjoy extremely competitive compensation and benefits
A work-life balance you can count on
Opportunities to grow and advance your career on our dime
The Benefits You Get with Freedom
Amazing benefits including matching 401k, fully paid medical, and more
Generous paid time off - including paid site closure days
Competitive salary offerings
Paid training and tuition reimbursement
Referral bonuses
Fully paid life and disability
Annual logo wear allowance
Company sponsored events (game nights, holiday party, summer party, happy hours)
Interested in learning more about Freedom and our culture? Contact us today! We're constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team.
As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status
Applicant Federal & E-Verify Postings
VEVRAA Federal Contractor
Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at
Phone: 410-290-9035
Email: recruiting@goftsg.com
Equal Opportunity Employer, including disabled and veterans.
If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese
If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese
If you want to view the Pay Transparency Policy Statement, please click the link: English

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