1

Senior Machine Learning Engineer Jobs in St Louis, MO

Senior Data Engineer

O Fallon, MO · On-site

$99K - $134K/yr

Title and Summary Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ... machine learning, and business insights. You'll collaborate closely with engineering, product, and ...

Senior Data Engineer

O Fallon, MO

$99K - $134K/yr

Title and Summary Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ... machine learning, and business insights. You'll collaborate closely with engineering, product, and ...

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 ...

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+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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 ...

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 ...

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 ...

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming ...

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming ...

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming ...

Senior Data Engineer

Clayton, MO · On-site

$80 - $90/hr

Senior Data Engineer Remote Role Contract to Hire Compensation: $80 - $90/hour, DOE ABOUT THE ROLE ... analytics, machine learning, and generative AI initiatives. You will work within a modern ...

Showing results 41-60

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 Aug 22, 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:

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.

Senior Data Engineer

Mastercard, Inc.

O Fallon, MO • On-site

$99K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data Engineer
About the Role
As a Senior Data Engineer, you'll take ownership of building and optimizing data platforms, pipelines, and systems that enable advanced analytics, machine learning, and business insights. You'll collaborate closely with engineering, product, and analytics teams to deliver reliable, production-ready data solutions.
Role
• Design, build, and maintain scalable data platforms leveraging Data Engineering best practices
• Develop and optimize large-scale data pipelines using Distributed Data Processing frameworks
• Implement and manage automated workflows using Workflow Orchestration to ensure reliable data movement and processing
• Design and integrate data from multiple sources using Data Integration techniques to create a unified, accessible data layer
• Build and maintain scalable Data Lakes for storing and analyzing large, diverse datasets
• Define and implement robust Data Modeling strategies to support analytics and reporting use cases
• Design and optimize Database Design solutions to ensure performance, scalability, and data integrity
• Process and transform large datasets using efficient Data Processing techniques to generate actionable insights
• Ensure strong Data Security practices, including data protection, governance, and compliance
• Lead system design discussions and contribute to architectural decisions
• Own full SDLC delivery including requirements, design, development, testing, and deployment
• Troubleshoot and resolve production issues through structured root cause analysis
• Drive improvements in performance, scalability, and reliability of data systems
• Collaborate across teams to align data solutions with business needs
• Mentor team members and contribute to knowledge sharing and technical development
All About You
• Experience designing and building scalable systems using modern Data Engineering principles
• Strong experience with Distributed Data Processing and large-scale data platforms
• Hands-on experience with Data Integration, Data Modeling, and Data Processing
• Experience building and maintaining Data Lakes and modern data architectures
• Solid understanding of Database Design and data optimization techniques
• Knowledge of Workflow Orchestration tools and end-to-end pipeline automation
• Strong understanding of Data Security and data governance practices
• Proven ability to work independently on complex technical challenges
• Strong troubleshooting and root cause analysis skills in data environments
• Experience working in Agile/Scrum environments and collaborating across teams
• Strong communication and collaboration skills, with the ability to influence decisions
• Experience mentoring or supporting other engineers
• Bachelor's degree or equivalent experience
Nice to Have
• Experience with cloud platforms (AWS, Azure, or GCP) and modern data tooling
• Experience with event-driven or streaming architectures
• Exposure to machine learning or advanced analytics environments
• Experience in high-throughput or regulated environments (payments, banking, fintech)
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
O'Fallon, Missouri: $115,000 - $184,000 USD