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Machine Learning Engineer Jobs in Columbia, MO (NOW HIRING)

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Senior Software Engineer

Jefferson City, MO · On-site +1

$116K - $153K/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 ...

Senior Software Engineer

Jefferson City, MO · On-site +1

$116K - $153K/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 ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ... Bachelor\'s degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Senior Data Analyst

Columbia, MO · On-site

$81K - $103K/yr

Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset Key Responsibilities * Provide technical leadership and mentorship to a team of engineers ...

As a Software Engineer (C/C++), you will work directly on the core of our database and data ... learning and development. * Rewarding Compensation: We value your contributions. Expect a ...

Engineer

Columbia, MO · On-site

$34.78 - $42.79/hr

Collects and maintains data for engineering projects and departments. Analyzes and validates data. * Manages capital improvement projects from identification, prioritization, and design through ...

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're ... Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're ... Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle

We're hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we're ... Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle

... engineering expertise through innovative thermal products and systems, enabling our customers to ... You'll troubleshoot and repair simple machinery, perform preventative maintenance, and fabricate ...

... engineering expertise through innovative thermal products and systems, enabling our customers to ... You'll troubleshoot and repair simple machinery, perform preventative maintenance, and fabricate ...

Software Engineer

Jefferson City, MO · On-site

$85K - $120K/yr

Software Engineer At FCS Financial, we're more than a workplace, we're OneTeam. We believe in ... Ability to manage multiple projects simultaneously and meet deadlines Exposure to machine learning ...

Ensures solutions are well organized, code is maintainable and well-tested using modern engineering practices * Stays current with modern technology and application development trends and apply them ...

Showing results 41-60

Machine Learning Engineer information

See Columbia, MO salary details

$30K

$122.5K

$184.1K

How much do machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning engineer in Columbia, MO is $122,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 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 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 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 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 cities near Columbia, MO are hiring for Machine Learning Engineer jobs? Cities near Columbia, MO with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Columbia, MO as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $122,537 per year, or $58.9 per hour.

Senior Data Analyst

EquipmentShare

Columbia, MO • Remote

$81K - $103K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


EquipmentShare rating

7.8

Company rating: 7.8 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

86th of 171 rated vehicle equipment hire


Job description

Build the Future with Us - EquipmentShare is Hiring a Senior Data Analyst

At EquipmentShare, we're not just filling a role - we're assembling the best team on the planet to build something that's never been built before. We're on a mission to transform an industry that's been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares.

We're hiring a Senior Data Analyst to support our Corporate Headquarters in Columbia, MO and we're looking for someone who's ready to grow with us, bring energy and drive to their work, and help us build the future of construction. As a key member of the Pricing team, you will be responsible for shaping strategic decisions through advanced modeling and analysis. You will play a crucial role in extracting actionable insights from our data to drive informed decision-making. This role is particularly focused on Pricing optimization themes within rental and used fleet sales -  modeling and conducting comprehensive analyses to optimize our processes and enhance overall efficiency. This position is fully remote.

Primary Responsibilities
  • Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue. 
  • Utilize statistical techniques to analyze large datasets and extract meaningful insights.
  • Develop and implement modeling to support business decision making based on stakeholder-driven requirements. 
  • Identify key performance indicators (KPIs) and develop reports and dashboards to monitor and communicate business performance.
  • Lead strategy on complex business challenges using data driven approaches, and is prepared to defend your opinion on recommendations.
  • Produce reports and models for senior leaders and other key team members
  • Identify trends, correlations and patterns in data, and present findings to stakeholder
  • Take an active role in coaching and mentoring more junior team members
Why EquipmentShare?

Because we do things differently - and we think you'll feel it from day one. We're a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn't just run our business - it also makes your job easier, safer, and more connected. Whether you're behind the wheel, under the hood, leading a branch, or closing deals - tech supports you, and you drive us forward.

We're a team of problem-solvers, go-getters, and builders. And we're looking for teammates who take pride in doing meaningful work and want to be part of building something special.

Perks & Benefits
  • Competitive compensation
  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO + paid holidays
  • 401(k) + company match
  • Gym membership stipend + wellness programs (earn PTO and prizes!)
  • Company events and food truck nights
  • 16 hours of paid volunteer time per year - give back to the community you call home
  • Career advancement, leadership training, and professional development opportunities
About You

You want to be part of a team that's not just changing an industry for the sake of change - we're transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you're excited about the opportunity to grow within a fast-paced, mission-driven environment.

We're looking for people who:

  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day
Skills & Qualifications 
  • ntermediate SQL & Python/R Required
  • Experience in applied statistics and communicating and presenting results to a lay audience
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results  
  • Strong problem solving skills
  • Detail orientated and can prioritize workload to meet project deadlines
      Preferred Qualifications
  • Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental Pricing concepts
Education and Experience
  • At least 6 years of experience in a data analytics role, with a focus on operations research and modeling.
  • Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.
  • Must be qualified to work in the United States 
Physical Requirements
  • Must be able to sit for prolonged periods at a desk and work on a computer.
  • Must be able to lift up to 5 pounds at times.
A Workplace For All

At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative - A Workplace For All - is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.

We value different backgrounds, talents, and perspectives. We want you to feel like you belong here - because you do.

EquipmentShare is an EOE M/F/D/V.

Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.


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About EquipmentShare

Sourced by ZipRecruiter

EquipmentShare is dedicated to creating a connected jobsite for the modern contractor . We deliver user-friendly technology solutions that help contractors maximize their equipment uptime, reduce risk exposure and increase productivity. EquipmentShare's product offerings include an improved equipment rental experience, fleet tracking and asset management software, hardware security solutions and predictive service and maintenance applications. EquipmentShare is the fastest-growing, independently owned construction equipment rental company in the country. We serve dozens of markets across the U.S. and are on track to create a national footprint in every major market in the country by the end of 2023. Our branch locations are equipped with a broad range of construction equipment, ranging from 150-foot telescopic booms to 120,000-lb. track excavators. EquipmentShare's rapid growth goes beyond meeting a demand for equipment rentals in booming new markets. Instead, our mission begins with our rental product, and it's a testimony to our ability to improve industry standards and better serve the customer. Our expansion and customer retention is a validation of strong contractor demand for the smart jobsite technology we've built into our rental fleet. And it's just the beginning of our journey to establishing a global presence.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Columbia, MO, US

Year founded

2014