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Machine Learning Jobs in Missouri (NOW HIRING)

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki: Why : We believe that by using data in a smart way, we ...

General Manufacturing

Machinist Intern

Columbia, MO · On-site

$16 - $18/hr

Our Machinist Intern will gain hands on experience with our production process which will in turn strengthen your machining abilities. Work under the supervision of a mechanical engineer and perform ...

Esri

Overview Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help ...

Brooksource

MLE II

Saint Louis, MO · On-site

$50 - $55/hr

Machine Learning Engineer II Remote (U.S.) Remote Role Compensation: $50 - $55 per hour ABOUT THE ROLE Brooksource is partnering with a Fortune 50 healthcare organization to hire a Machine Learning ...

Kohl's

$95K - $131K/yr

Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing ...

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

Overview Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help ...

Third-Party Job Posts

As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will ...

Walmart

Principal, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing ...

Walmart

Principal, Data Scientist (Pricing)

Cassville, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing ...

Walmart

Principal, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing ...

Jobgether

$100K - $120K/yr

You will combine software engineering, machine learning, and MLOps/LLMOps expertise to create scalable and reliable AI products. The position involves solving complex business problems through ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Missouri

Machine Learning information

See Missouri salary details

$23.9K

$39.9K

$82.5K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning 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 is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Missouri?

The most popular types of Machine Learning jobs in Missouri are:

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

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

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

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

What cities in Missouri are hiring for Machine Learning jobs?

Cities in Missouri with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,944 per year, or $19.2 per hour.

Machine Learning Engineer with Security Clearance

SecureVision

Saint Louis, MO • On-site

Other

Re-posted 24 days ago

Job description

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description
Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
WHAT YOU'LL NEED TO SUCCEED:
• Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• Experience: 5+ years Technical skills:
• Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired:
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Open Neural Net Exchange (ONNX).

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