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Machine Learning Jobs in Chesterfield, MO (NOW HIRING)

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 MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Pwc

AI Engineer

Saint Louis, MO · On-site

$55K - $187K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

duvari group

AI Engineer

Chesterfield, MO

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 ...

duvari group

AI Engineer

Chesterfield, MO · On-site

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 ...

duvari group

AI Engineer

Chesterfield, MO · On-site

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 ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and ...

Safety National

Senior Data Scientist

Saint Louis, MO · On-site

If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Chesterfield, MO

Machine Learning information

See Chesterfield, MO salary details

$25.2K

$42.1K

$87.1K

How much do machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning in Chesterfield, MO is $42,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 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 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.

What are popular job titles related to Machine Learning jobs in Chesterfield, MO? For Machine Learning jobs in Chesterfield, MO, the most frequently searched job titles are:
What cities near Chesterfield, MO are hiring for Machine Learning jobs? Cities near Chesterfield, MO with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Chesterfield, 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 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,147 per year, or $20.3 per hour.

Senior AI Engineer

Koantek

Chesterfield, MO • On-site

$54.75 - $70.50/hr

Contractor

Re-posted 3 days ago

Job description


Sr AI Engineer / Data Scientist / MLOps Consultant
Location: United States - Remote
Employment Type: Full-Time and Contract
We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key Responsibilities
• Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions.
• Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences.
• Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models.
• Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting.
• Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems.
• Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark).
• Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities.
• Ensure all client engagements and training activities are properly documented and reported via designated partner platforms.
Required Qualifications
• 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment.
• 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery.
• Excellent verbal and written communication skills for effective client and internal team interaction.
• Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices.
• Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration.
• Deep understanding of programming for data-intensive and scalable ML applications.
• Proven experience in deploying and managing Generative AI and NLP solutions for client applications.
Preferred Qualifications
• Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.
• Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing.
• Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures.
Requirements
• Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.
• Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing.
• Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures.

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