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Senior Machine Learning Engineer Jobs in Columbia, MO

Fibersmith

Professional Engineer

Columbia, MO · On-site

$78K - $104K/yr

Provide engineering guidance and support to Project Managers, Senior Design Consultants, and other ... Stay open to learning new tools, technologies, standards, and broadband engineering practices.

Provincial Senior Living

Activity Assistant

Columbia, MO · On-site

$17/hr

Provincial Senior Living proudly manages lifestyle-driven Independent Living communities across the ... We continually aspire and invest in learning and development opportunities that support our team ...

Varsity Tutors

Civil Engineering Tutor

Columbia, MO · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... senior capstone design. * Effective Teaching Methods: Ability to identify concepts students ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Columbia, MO

Senior Machine Learning Engineer information

See Columbia, MO salary details

$56.6K

$120.4K

$174.6K

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 Columbia, MO is $120,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,600.00 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 job categories do people searching Senior Machine Learning Engineer jobs in Columbia, MO look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Columbia, MO are:

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

Cities near Columbia, 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 Columbia, MO as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $120,432 per year, or $57.9 per hour.

Mechanical Engineer - Entry Level - 2+ years (Hybrid)

Barr Engineering Co.

Jefferson City, MO • On-site

$73K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

The role - what you'll do
Barr is seeking a mechanical engineer to join our team. In this hybrid role, you will support the Engineering and Design business unit, working with multidisciplinary project teams to serve industrial clients in the power generation, oil and gas, and manufacturing sectors. You will use your expertise to develop and review engineering calculations, system specifications, and construction drawings; select equipment and components; and guide project execution from concept to bid packages. You will contribute to technical reports, cost estimates, proposals, and client-facing documentation that support critical infrastructure investments.
A successful person in this role will have strong interpersonal, oral, and written communication skills. They must possess a flexible working style and be willing to occasionally modify their schedule to meet deadlines and/or client needs. They must be able to work cooperatively in a project team environment that encourages self-initiative and demonstrate effective project organization and management skills.
Your impact - key responsibilities
  • Technical knowledge: simple-cycle plant design or renewable natural gas plant design; natural gas boiler project design; compressor station and oil/gas pipeline system design; gas processing and dehydration system design; conveyor and bulk material handling system design; crusher, screen, and separation process mechanical integration; process equipment installation and mechanical layout design; design of machinery and repairs to large mechanical equipment; and retrofit of mechanical systems for plant expansions or improvements.
  • Project management: planning, coordinating, and executing projects. Help ensure project milestones are met and provide regular updates to team members and clients.
  • Field presence: construction observation and surveying as needed. Serve as lead mechanical engineer or project manager for large capital projects within industries.

About the opportunity
  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position will be based out of Barr's Jefferson City, Missouri, office.
  • Travel expectation: up to 15% domestic fieldwork, with an average of one day every two weeks during projects to verify dimensions and project progress.
  • Work environment: ability to work in locations that include rough terrain typical of construction outdoor sites with limited accessibility and moving machinery. Candidates must be able to perform job duties with or without reasonable accommodation.

About you - required core competencies
  • Education: Bachelor's degree in mechanical engineering degree from an accredited university or a related field with academic coursework focused on mechanical.
  • Experience: internship or 1 year of relevant experience.
  • Willingness and ability to regularly travel.
  • Software: familiarity with AutoCAD, Microsoft Office software, and computer simulation modeling.
  • Driver's license: possession of a current, valid driver's license and acceptable driving record.
  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Helpful additional experience (not required)
  • Professional Engineer (PE) certification strongly preferred or ability to obtain.

Compensation: anticipated range of $73,000-$85,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.
#LI-Hybrid #Handshake
Benefits - what we offer
We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.
  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care
  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock
  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders
  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities
  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave
  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.
About us - why choose Barr
At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.
As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.
To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture
Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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