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Machine Learning Manager Jobs in Missouri (NOW HIRING)

LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production ... Manage the full model lifecycle, including retraining, performance monitoring, and continuous ...

Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry * Identify or propose AI/ML ...

Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry * Identify or propose AI/ML ...

Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry * Identify or propose AI/ML ...

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Showing results 1-20

Machine Learning Manager information

See Missouri salary details

$47.8K

$76.6K

$110.7K

How much do machine learning manager jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning manager in Missouri is $76,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $86,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 Manager jobs in Missouri? For Machine Learning Manager jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Machine Learning Manager jobs? Cities in Missouri with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Missouri as of May 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 50% Physical, 5% Hybrid, and 45% Remote job distribution, with an average salary of $76,643 per year, or $36.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Saint Louis, MO • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 hours ago


Job description

Position Summary
We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle-from data ingestion and feature engineering to deployment, monitoring, and continuous improvement-playing a critical part in shaping our machine learning platform and capabilities.
Primary Responsibilities
  • Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
  • Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
  • Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
  • Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
  • Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
  • Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
  • Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
  • Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.

Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
  • Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with CI/CD pipelines, testing automation, and version control using Git.
  • Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
  • Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
  • Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate's experience and education.
About Focus Financial Partners
Focus is a leading financial services firm comprised of integrated wealth management, family office, and business management services. Blending deep expertise and expansive resources with a boutique, client-first fiduciary philosophy, Focus helps individuals, families, and institutions navigate complex financial situations with highly personalized solutions tailored to their unique needs. To learn more about Focus, visit www.focusfinancialpartners.com or follow the company on LinkedIn.
Focus is an equal opportunity employer and bases its employment decisions on the employee or candidate's skillset, and without regard to an employee or candidate's race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by local, state and/or federal law.
Focus complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact careers@focuspartners.com.
The following language is for US based roles only
For California Applicants: Information on your California privacy rights can be found here
For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability.
For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901.
For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state's workers' compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers' Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.