Machine Learning Engineer Jobs in St. Louis, MO
About Machine Learning Engineer Jobs in St. Louis
Looking for a Machine Learning Engineer job in St. Louis? You're in the right place. This guide covers everything you need to know about working as a Machine Learning Engineer in St. Louis, MO.
We'll show you what you can expect to earn. We'll also share which companies are hiring. Plus, you'll learn about the cost of living and how to get started in your job search.
St. Louis has a strong job market for Machine Learning Engineers. Many employers are actively looking for talent. Read on to learn how to land your next role.
Machine Learning Engineer Salary in St. Louis
Machine Learning Engineer salaries in St. Louis are in line with national averages, offering competitive compensation for the region.
Purchasing power in St. Louis is comparable to the national average, with salaries appropriately scaled to local costs.
Required Skills
Machine Learning Engineer Job Market in St. Louis
St. Louis, MO is a major regional employment hub for Machine Learning Engineer professionals. Though smaller than coastal metros, St. Louis offers focused opportunities and often better work-life balance. The city's strong Healthcare and Finance sectors create robust demand for Machine Learning Engineer talent. The market for Machine Learning Engineer positions remains stable, with opportunities in both established companies and growing organizations.
Top Companies Hiring Machine Learning Engineers in St. Louis
Major employers hiring Machine Learning Engineers in St. Louis include World Wide Technology, Square, Mastercard, Bayer. Many companies offer competitive benefits including comprehensive healthcare, and professional development opportunities.
Cost of Living for Machine Learning Engineers in St. Louis
Living in St. Louis as a Machine Learning Engineer means navigating a cost of living that's close to the national average. Average rent for a 1-bedroom apartment is approximately $1,100/month (39% below the national average). At median Machine Learning Engineer salary, housing is quite affordable at 9% of gross income, leaving room for savings and lifestyle spending.
Commuting as a Machine Learning Engineer in St. Louis
St. Louis Limited public transit options; car recommended for most commutes. The average commute time is 25 minutes. Research employer-specific shuttle services. Consider living close to your workplace. Since transit options are limited, consider living close to your workplace or negotiating flexible hours to avoid peak traffic.
Best neighborhoods for Machine Learning Engineers in St. Louis: Downtown (Central business district with tech companies); Tech Park/Campus (Suburban office park developments). Downtown is particularly popular among Machine Learning Engineer professionals due to proximity to major employers and urban amenities.
Tax Considerations in Missouri
Missouri has moderate state income taxes. When evaluating offers, consider total compensation including benefits, not just base salary. Local cost of living typically has more impact on your finances than state tax differences.
Career Outlook for Machine Learning Engineers
The job outlook for Machine Learning Engineers in St. Louis is stable. While not experiencing rapid growth, the field maintains steady demand with consistent opportunities for qualified professionals. St. Louis's growing economy creates new positions regularly, often with less competition than coastal tech hubs. In-demand skills include Python, TensorFlow, Deep Learning, MLOps.
Relocating to St. Louis
St. Louis's affordable cost of living means your Machine Learning Engineer salary will stretch further than in major coastal cities. Many professionals relocate here for better quality of life.
Frequently Asked Questions
What is the average Machine Learning Engineer salary in St. Louis, MO?
The average Machine Learning Engineer salary in St. Louis, MO is $144,000 per year. Entry-level Machine Learning Engineers typically start around $91,800, while experienced professionals can earn $207,000 or more. The national average for Machine Learning Engineer roles is $160,000.
How many Machine Learning Engineer jobs are available in St. Louis?
St. Louis has a strong job market with regular openings for Machine Learning Engineer professionals. Major employers hiring Machine Learning Engineers include World Wide Technology, Square, Mastercard, Bayer. The Healthcare and Finance sectors drive much of the demand in this market.
Is St. Louis a good city for Machine Learning Engineers?
St. Louis is an very good choice for Machine Learning Engineers. As a major metro area, it offers abundant opportunities and competitive salaries. The affordable cost of living means salaries go further than in more expensive markets. The city's healthcare industry creates strong demand for technology & software professionals.
What skills are most in-demand for Machine Learning Engineers in St. Louis?
Top skills for Machine Learning Engineers in St. Louis include Python, TensorFlow, Deep Learning, MLOps, Mathematics. Employers value both technical expertise and soft skills like communication and teamwork.
What is the cost of living for Machine Learning Engineers in St. Louis?
St. Louis's cost of living is near the national average (90% of baseline). Average rent for a 1-bedroom apartment is approximately $1,100/month. Purchasing power in St. Louis is comparable to the national average, with salaries appropriately scaled to local costs.
How is the commute for Machine Learning Engineers in St. Louis?
St. Louis Limited public transit options; car recommended for most commutes. The average commute is 25 minutes. Research employer-specific shuttle services.
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