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Machine Learning Engineer Jobs in Springfield, MO

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Participate in continuous learning and professional development, with particular focus on emerging ...

Staff Civil Engineer

Springfield, MO · On-site

$73K - $99K/yr

Description As a Staff Civil Engineer in our pipelines discipline, you will have an opportunity for ... This is a journey, and we are committed to doing the work, learning and evolving as we go.

Staff Civil Engineer

Springfield, MO · On-site

$73K - $99K/yr

Job Type Full-time Description As a Staff Civil Engineer in our pipelines discipline, you will have ... This is a journey, and we are committed to doing the work, learning and evolving as we go.

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 ...

Lead Engineer

Springfield, MO · On-site

$93K - $122K/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 ...

Work with engineers, manufacturing, project teams and field service * Verify installations and ... Learning. Growth. Team collaboration. Bottom Line: If you like designing things that matter and ...

Work with engineers, manufacturing, project teams and field service * Verify installations and ... Learning. Growth. Team collaboration. Bottom Line: If you like designing things that matter and ...

Work with engineers, manufacturing, project teams and field service * Verify installations and ... Learning. Growth. Team collaboration. Bottom Line: If you like designing things that matter and ...

Survey Intern

Springfield, MO

$15.25 - $19.75/hr

Troubleshoot GPS Machine Control * Construction layout; storm structures, sanitary structures ... Works from engineering plans to establish lines and grades for construction purposes; keeps ...

Survey Intern

Springfield, MO · On-site

$15.25 - $19.75/hr

Troubleshoot GPS Machine Control * Construction layout; storm structures, sanitary structures ... Works from engineering plans to establish lines and grades for construction purposes; keeps ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

Jack Henry's AI Platform team is hiring a Senior AI Engineer to turn promising prototypes into systems people can depend on. We build the platform that AI runs on at Jack Henry, consisting of ...

Showing results 21-40

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 Sep 1, 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 is a machine learning engineer?

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 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 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.

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:

Infographic showing various Machine Learning Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $117,132 per year, or $56.3 per hour.

Senior Software Engineer

Springfield, MO • On-site, Remote


Husch Blackwell Llp
Law Firms • 1 - 5K employees

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 35 rated law firms

Great coworkers

People enjoy working here

Good employer


$109K - $144K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Senior Software Engineer position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Senior Software Engineer designs, builds, and maintains the technical systems and application infrastructure that power high-quality, human-centered information experiences. This role is responsible for the architecture, performance, and reliability of web applications and the data systems that support them, in service of Information Design & Engineering (ID&E) objectives. The Software Engineer establishes and upholds technical standards, leads application architecture decisions, and collaborates with cross-functional teams to deliver engaging data stories, interactive visualizations, and innovative user interfaces. This position operates at the intersection of production engineering and research and development, requiring both the rigor to run reliable systems and the curiosity to prototype emerging capabilities, including generative AI integration, extended reality (XR) interfaces, and novel information design paradigms. Essential functions include:

  • Architect, build, and maintain web application infrastructure and the data systems that support interactive, narrative-driven information experiences. 
  • Own application-layer technical standards, including code quality, system design patterns, deployment practices, and performance benchmarks. 
  • Collaborate with Information Engineers, designers, and data scientists to deliver engaging data stories, visualizations, and user interfaces that serve organizational goals. 
  • Write and maintain production-quality code across the full stack, with particular emphasis on back-end services, data APIs, and application infrastructure. 
  • Lead the evaluation, integration, and responsible deployment of generative AI capabilities within web applications and information systems. 
  • Prototype and develop proof-of-concept architectures for emerging interface paradigms, including extended reality (XR) and AI-assisted user experiences. 
  • Ensure application reliability, security, accessibility, and scalability across all systems owned by the ID&E team. 
  • Research and evaluate new technologies, frameworks, and architectural approaches to advance the team's technical capabilities. 
  • Establish and document technical standards and best practices for application engineering within the ID&E practice. 
  • Partner with the Information Engineers on shared front-end concerns, providing architectural guidance while collaborating on design system implementation and UI component quality. 
  • Participate in continuous learning and professional development, with particular focus on emerging technologies relevant to the transformation office's R&D agenda.

POSITION-SPECIFIC REQUIREMENTS

  • Bachelor's degree in a relevant field (e.g., Computer Science, Software Engineering, Information Systems) or equivalent practical knowledge and experience 
  • 5+ years of experience in application engineering, software development, or a closely related technical role, with demonstrable progression toward senior-level ownership and decision-making 
  • Proficiency across the full web stack, with particular depth in back-end services, data APIs, and application infrastructure; front-end fluency sufficient to collaborate effectively on UI architecture and component quality 
  • Experience designing and owning web application architecture for data-intensive or interactive applications, including decisions around scalability, performance, and maintainability 
  • Proficiency in one or more back-end languages (e.g., Python, Javascript, TypeScript) and familiarity with modern front-end frameworks (e.g., React, Vue) 
  • Experience integrating generative AI capabilities into production or near-production applications, including working with LLM APIs and prompt-driven workflows 
  • Knowledge of data pipeline architecture, data APIs, and cloud data platform integration, with the ability to design the application layer that consumes and exposes that data 
  • Experience with cloud infrastructure and deployment practices (Azure preferred), including familiarity with CI/CD, environment management, and application security 
  • Demonstrable knowledge of software architecture patterns, engineering best practices, and security principles appropriate to an enterprise environment 
  • Familiarity with emerging interface technologies, such as extended reality (XR), spatial computing, or AI-assisted interfaces, or a demonstrated appetite for rapid learning in adjacent technical domains
  • Interdisciplinary experience or intellectual curiosity that brings a distinctive perspective to technical problem-solving, particularly in the context of information design and emerging interface technologies.
  • Demonstrable ability to communicate complex technical concepts clearly to audiences of varying backgrounds, including legal professionals, firm leadership, and non-technical collaborators. 
  • Strong ability to translate technical architecture and engineering decisions into outcomes that serve both business objectives and user experience goals.

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position.  If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1



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