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Machine Learning Ai Jobs in Missouri (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Walmart

Staff, Machine Learning Engineer

Cassville, MO · On-site

$130K - $260K/yr

Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions * Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

Walmart

Staff, Machine Learning Engineer

Anderson, MO · On-site

$130K - $260K/yr

Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions * Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

Walmart

Staff, Machine Learning Engineer

Noel, MO · On-site

$130K - $260K/yr

Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions * Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic ...

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All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in Missouri

Machine Learning Ai information

See Missouri salary details

$23.9K

$39.9K

$82.5K

How much do machine learning ai jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning ai in Missouri is $39,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of algorithms and data analysis.

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 deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is AI ML salary?

The salary for a Machine Learning Engineer or AI specialist varies based on experience, location, and skill set, but typically ranges from $80,000 to over $150,000 annually in many regions. Advanced skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch can influence compensation levels.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn salaries of $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in Missouri? For Machine Learning Ai jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai jobs in Missouri look for? The top searched job categories for Machine Learning Ai jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Ai jobs? Cities in Missouri with the most Machine Learning Ai job openings:
Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in Missouri as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $39,944 per year, or $19.2 per hour.
Senior AI/ML Scientist

Senior AI/ML Scientist

GLOBAL IT CON LLC

Saint Louis, MO • On-site

Other

Posted 21 days ago

Job description

Position: Senior AI/ML Scientist
Location: St. Louis, MO (Hybrid)
Type: Contract
Experience: 8 10+ Years

Job Summary

We are seeking a highly skilled Senior AI/ML Scientist to design, build, and scale machine learning systems that drive personalization, customer intelligence, and data-driven decision-making. The ideal candidate will work at the intersection of traditional machine learning, advanced statistical modeling, and emerging Generative AI and Agentic AI technologies to deliver impactful business solutions.

Key Responsibilities

Design, develop, and deploy production-grade propensity models, recommendation engines, and predictive machine learning solutions.

Lead applied research initiatives and perform rigorous statistical analysis to support model development and business strategy.

Build, train, and operationalize machine learning models on Google Cloud Platform (Google Cloud Platform) using services such as Vertex AI, BigQuery ML, Dataflow, and Cloud Run.

Develop and integrate Generative AI and Agentic AI capabilities into existing ML workflows and business applications.

Collaborate with data engineering teams to design feature stores, model training pipelines, and monitoring frameworks.

Translate complex business challenges into scalable machine learning solutions.

Present findings and recommendations to both technical and non-technical stakeholders.

Mentor junior data scientists and contribute to best practices across modeling, experimentation, and MLOps.

Required Qualifications

8 10+ years of experience in Machine Learning, Data Science, or related fields.

Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative discipline.

Strong experience building and deploying machine learning models in production environments.

Expertise in propensity modeling, recommendation systems, predictive analytics, and statistical analysis.

Hands-on experience with Google Cloud Platform (Google Cloud Platform), including Vertex AI, BigQuery, Dataflow, and Cloud Run.

Strong knowledge of Generative AI and Agentic AI concepts, including:

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Agent Frameworks
  • Model Evaluation Techniques

Advanced Python programming skills.

Experience with machine learning frameworks such as:

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
Required Skills

Machine Learning
AI/ML Model Development
Recommendation Systems
Propensity Modeling
Statistical Analysis
Generative AI
Agentic AI
LLMs
RAG
Prompt Engineering
Python
TensorFlow / PyTorch
Google Cloud Platform (Google Cloud Platform)
Vertex AI
BigQuery
MLOps

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