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Sr Machine Learning Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Senior Machine Learning Engineer

California, MO · On-site

$93K - $128K/yr

Design, develop, and implement machine learning models and algorithms for complex problems Work with data scientists, software engineers, and product teams on AI/ML solutions Build scalable machine ...

New

Jobgether

$94K - $124K/yr

Our partner is looking for a Senior Machine Learning Engineer, Voice Agents based in Netherlands. Own a major part of an open voice-agent stack at the intersection of machine learning, realtime ...

Jobtailor

Machine Learning Engineer

California, MO · On-site

Collaborate with senior engineers and data scientists on model deployment * Conduct experiments and run machine learning tests * Build scalable ML pipelines * Deploy models into production ...

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205K - $230K/yr

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...

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All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Missouri

Sr Machine Learning Engineer information

See Missouri salary details

$55.8K

$118.7K

$172.1K

How much do sr machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for sr machine learning engineer in Missouri is $118,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What are popular job titles related to Sr Machine Learning Engineer jobs in Missouri?

For Sr Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:

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

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

Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,711 per year, or $57.1 per hour.

Senior Machine Learning Engineer

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$93K - $128K/yr

Other

Posted 2 days ago

New

Job description

Design, develop, and implement machine learning models and algorithms for complex problems
Work with data scientists, software engineers, and product teams on AI/ML solutions
Build scalable machine learning pipelines
Ensure data quality
Deploy models into production environments
Develop and optimize machine learning models
Preprocess and analyze large datasets
Integrate ML models into products and services
Monitor and evaluate deployed model performance
Drive business insights and improve customer experiences

Requirements
  • 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms including AWS, Azure, or GCP
  • Familiarity with tools for data processing and model deployment
  • Several years of experience designing, implementing, and deploying machine learning models
  • Recent graduate: graduated within the past 12 months or graduating by Spring 2027
  • PhD degree in Computer Science or a related field from an accredited college or university
  • Must be legally able to work without PayPal visa sponsorship; visa sponsorship is not available now or in the future
Core Competencies

Demonstrates expertise in designing, developing, and deploying machine learning models and algorithms, with a strong focus on data quality and performance evaluation. Proficient in utilizing ML frameworks and cloud platforms to drive business insights and enhance customer experiences.

Highest-signal resume keywords
  • Machine Learning Model Development
  • TensorFlow
  • PyTorch
  • AWS
  • Data Processing
ATS Optimization KeywordsHard Skills
  • Machine Learning
  • Model Deployment
  • Data Analysis
  • Algorithm Design
  • Model Optimization
Certifications & Qualifications
  • Bachelor's Degree
  • PhD in Computer Science
Industry Keywords
  • AI/ML Solutions
  • Scalable Machine Learning Pipelines
  • Data Quality
  • Model Performance Monitoring
Tools & Technologies
  • Cloud Platforms
  • ML Frameworks
  • Data Processing Tools
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