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Machine Learning Engineer Jobs in Springfield, MO

Wilson & Company

Senior Traffic Engineer

Springfield, MO · On-site

$140K/yr

Committed to continuous learning and best practices. * Strategic thinker with strong technical and ... Licensed Professional Engineer (PE) in Missouri, Kansas, and Nebraska, or ability to obtain ...

HiFyve

Staff Engineer

Springfield, MO · On-site

Staff Engineer HiFyve is hiring a Staff Engineer in the Manufacturing industry in Springfield, MO! Salary: $79,000-$125,000 Shift: Day Shift Location: Springfield, MO Benefits: Full benefits package ...

HiFyve

Staff Engineer

Springfield, MO · On-site

$79K - $125K/yr

HiFyve is hiring a Staff Engineer in the Manufacturing industry in Springfield, MO! Salary: $79,000-$125,000 Shift: Day Shift Location: Springfield, MO Benefits: Full benefits package About the Role ...

HiFyve

Lead Engineer

Springfield, MO · On-site

$120K - $208K/yr

HiFyve is hiring a Lead Engineer in Springfield, MO! Salary: $120k - $208k + Incentive Bonus - Up to 10% Location: Springfield, MO Travel: Up to 15%, including possible international travel This ...

Westrock

Supv, Mfg Ops

Springfield, MO · On-site

Monitor and track production daily goals for the Converting machines utilizing Key Performance ... Bachelor's degree (Business Management, Engineering or Operations Management) - Preferred * 3+ ...

Kraft Heinz Company

Shift Lead

Springfield, MO · On-site

$30.79/hr

... Engineering (MRE) Pillar. Accountable for the Safety, Health and Environmental systems and ... Perform machine maintenance PMs and repairs Maintenance Break-down elimination Lead and coordinate ...

Kraft Heinz

Shift Lead

Springfield, MO · On-site

$30.79/hr

... Engineering (MRE) Pillar. * Accountable for the Safety, Health and Environmental systems and ... Perform machine maintenance PMs and repairs * Maintenance Break-down elimination * Lead and ...

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Machine Learning Engineer information

See Springfield, MO salary details

$28.7K

$117.1K

$176K

How much do machine learning engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning engineer in Springfield, MO is $117,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $141,000.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What job categories do people searching Machine Learning Engineer jobs in Springfield, MO look for? The top searched job categories for Machine Learning Engineer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Machine Learning Engineer jobs? Cities near Springfield, MO with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Springfield, MO as of May 2026, with employment types broken down into 1% Internship, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $117,132 per year, or $56.3 per hour.
Senior Traffic Engineer

Senior Traffic Engineer

Wilson & Company

Springfield, MO • On-site

$140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago

Wilson Sporting Goods rating

9.0

Company rating: 9.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 55 rated fashion and textile manufacturers

Job description

Wilson & Company is seeking a full-time Senior Traffic Engineer to join our Midwest transportation planning and engineering team in Springfield, MO. This role will serve state and local agency clients and lead traffic design projects, safety evaluations, and multimodal facility analysis. The ideal candidate will have the opportunity to work on a variety of project types and sizes, including design-build.
Key Responsibilities:
  • Traffic Design and Analysis:
    • Lead and manage traffic design and traffic operation projects and tasks.
    • Provide design oversight in producing roadway lighting, signing, pavement marking, traffic signals, and traffic management system designs; intersection designs; capacity and signal warrant analyses; and ITS systems.
    • Develop technical traffic analysis for highways, streets, and multi-modal facilities utilizing multiple software and programs as necessary.
    • Assist in providing oversight of maintenance of traffic (MOT) and sequencing plans throughout the construction phase of a project.

  • Safety Evaluations:
    • Perform traffic safety analyses, including Road Safety Audits (RSAs).
    • Identify deficiencies and propose safety countermeasures.

  • Project Management:
    • Oversee project budgets, schedules, and quality assurance/control (QA/QC) procedures.
    • Collaborate with multidisciplinary teams on transportation projects.

  • Business Development:
    • Assist in developing proposals and marketing strategies.
    • Build and maintain relationships with clients and stakeholders.

  • Mentorship and Leadership:
    • Mentor junior staff and foster a collaborative work environment.
    • Promote company initiatives and build team consensus.

Key Attributes:
  • Innovative and solutions-oriented thinker.
  • Collaborative and organized, with strong leadership and communication skills.
  • Committed to continuous learning and best practices.
  • Strategic thinker with strong technical and critical thinking abilities.

Required Skills and Qualifications:
  • Education: Bachelor's degree in Civil Engineering; Master's degree is a plus but not required.
  • Licensure: Licensed Professional Engineer (PE) in Missouri, Kansas, and Nebraska, or ability to obtain licensure within six months.
  • Certification: Certification as a Professional Traffic Operations Engineer (PTOE) and/or a Road Safety Professional (RSP) Levels 1 or 2 is preferred.
  • Experience: Minimum of 10 years in traffic engineering and design.
  • Technical Skills: Proficiency in using simulation software (e.g., Synchro, VISSIM), Geographic Information Systems (GIS), and/or CAD (MicroStation/AutoCAD). Familiarity with relevant industry standards and guidelines, such as MUTCD (Manual on Uniform Traffic Control Devices) and AASHTO (American Association of State Highway and Transportation Officials) standards.

Please note that Wilson & Company is not currently sponsoring applicants for work visas.
Annual Salary Range: $140,000+ depending on experience
About Us:
For nearly a century, Wilson & Company, Inc., Engineers & Architects, has provided award-winning engineering, architecture, planning, environmental, surveying, geospatial, and construction management services. With employees across multiple offices in the Midwest, Southwest, Rocky Mountain, and Western regions in the United States, we bring people together to practice their craft, create value, and accomplish great things.
Guided by our purpose, we help clients move from concept to completion, transforming unused spaces into productive places, underutilized facilities into efficient ones, and rural or urban challenges into achievable solutions.
At Wilson & Company, we focus on your specific needs, delivering excellence with lasting Higher Relationships in mind. By employing our core values-discipline, intensity, collaboration, shared ownership, and solutions-we create genuine experiences and lasting connections for our clients, employees, and communities.
We support our employees' success and well-being with a comprehensive benefits package, including options for health insurance, life insurance, disability coverage, paid time off, and retirement savings plans. We are proud to be an EEO employer and maintain a drug-free workplace, conducting pre-employment background checks.
Join us and be part of a culture committed to helping you achieve personal and professional success.

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