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Machine Learning Engineer Jobs in Saint Louis, MO

duvari group

AI Engineer

Chesterfield, MO

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve ... Design, develop, and deploy AI and machine learning solutions that address business challenges and ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ... of programming for data-intensive and scalable ML applications. • Proven experience in deploying ...

Pwc

AI Solutions Engineering Delivery Lead

Saint Louis, MO

$99K - $131K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

$101K - $139K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Saint Louis, MO · On-site

$99K - $131K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

Saint Louis, MO

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

Saint Louis, MO

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

LRS

AI/ML Developer

Saint Louis, MO

$50 - $90/hr

LRS company, is seeking an AI/ML Developer who is passionate about transforming data into ... Responsibilities Design, develop, and support AI, machine learning, and data-driven solutions.

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Saint Louis, MO

Machine Learning Engineer information

See Saint Louis, MO salary details

$30.6K

$125.2K

$188.1K

How much do machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning engineer in Saint Louis, MO is $125,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Saint Louis, MO?

The most popular types of Machine Learning Engineer jobs in Saint Louis, MO are:

What are popular job titles related to Machine Learning Engineer jobs in Saint Louis, MO?

For Machine Learning Engineer jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Saint Louis, MO look for?

The top searched job categories for Machine Learning Engineer jobs in Saint Louis, MO are:

What cities near Saint Louis, MO are hiring for Machine Learning Engineer jobs?

Cities near Saint Louis, MO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,193 per year, or $60.2 per hour.

AI Engineer

duvari group

Chesterfield, MO

Full-time

Re-posted 6 days ago

Job description

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve business processes, enhance decision-making, and drive operational efficiency. This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of applications.

Key Responsibilities

  • Design, develop, and deploy AI and machine learning solutions that address business challenges and improve performance.
  • Build and maintain data pipelines and supporting infrastructure required for AI initiatives.
  • Integrate AI capabilities into existing applications, platforms, and workflows.
  • Partner with cross-functional teams to identify, evaluate, and prioritize AI use cases.
  • Monitor, optimize, and maintain model performance, scalability, and reliability.
  • Research emerging technologies and recommend innovative approaches to solving business problems.
  • Document technical solutions, processes, and implementation best practices.
  • Support ongoing enhancement and maintenance of deployed AI solutions.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered.
  • 2+ years of experience developing machine learning or AI-based solutions.
  • Proficiency in Python and experience working with modern AI/ML frameworks and libraries.
  • Experience with data processing, data analysis, and working with structured and unstructured datasets.
  • Understanding of APIs, system integrations, and software development best practices.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to communicate technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications

  • Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions.
  • Familiarity with cloud-based environments and modern data platforms.
  • Understanding of model deployment, monitoring, and lifecycle management practices.
  • Experience collaborating within agile software development environments.

Apply