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Senior Machine Learning Engineer Jobs in St Louis, MO

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

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 ...

Booz Allen Hamilton

Agentic AI Developer

O Fallon, IL · On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Booz Allen Hamilton, Inc.

Agentic AI Developer

O Fallon, IL · On-site +1

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Booz Allen Hamilton

Agentic AI Developer

O Fallon, IL · On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

We are seeking a highly analytical and results-driven Machine Learning Engineer / Data Scientist to develop and deploy predictive models that drive business outcomes and improve decision-making ...

Boeing

Senior Data Scientist

Hazelwood, MO

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Implement and deploy machine learning models, working closely with software engineering teams to ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in St Louis, MO

Senior Machine Learning Engineer information

See St Louis, MO salary details

$57.8K

$123K

$178.4K

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

As of Sep 2, 2026, the average yearly pay for senior machine learning engineer in St Louis, MO is $123,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $139,500.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in St Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,042 per year, or $59.2 per hour.

AI Engineer (Agentic AI Experience)

CYNET SYSTEMS

Saint Louis, MO • On-site

$65/hr

Contractor

Re-posted 13 days ago

Job description

Job Overview:

Responsibilities:

  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and implement agentic AI workflows and multi-agent systems for production use cases.
  • Contribute to architecture and design of scalable AI solutions and intelligent systems.
  • Develop and optimize models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Work on AI techniques including natural language processing (NLP), computer vision, and advanced analytics.
  • Integrate AI solutions with big data platforms and cloud environments (AWS, Azure, Google Cloud).
  • Analyze large and complex datasets to extract insights and improve model performance.
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
  • Participate in Agile development processes, including sprint planning and stand-ups.
  • Maintain documentation and ensure best practices in AI development and deployment.

Required Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field, or Bachelor’s degree with 5+ years of experience.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong programming skills in Python or R.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with NLP, computer vision, or other AI techniques.
  • Familiarity with big data technologies such as Hadoop and Spark.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile environments using tools like Azure DevOps or Scrum.

Must Have:

  • Hands-on experience building and deploying Agentic AI workflows in real-world projects.
  • Experience with modern multi-agent architectures.
  • Strong understanding of agentic frameworks and tools.
  • Ability to contribute to system architecture and design decisions.

Preferred Qualifications:

  • Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified, Azure Fundamentals).
  • Experience managing multiple AI projects simultaneously.
  • Strong organizational and collaboration skills.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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