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Machine Learning Engineer Jobs in Saint Joseph, MO

Varsity Tutors

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... Familiarity with machine learning workflows and model deployment pipelines. * Power BI management ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... Familiarity with machine learning workflows and model deployment pipelines. * Power BI management ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Saint Joseph, MO

Machine Learning Engineer information

See Saint Joseph, MO salary details

$30.4K

$124.4K

$187K

How much do machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer in Saint Joseph, MO is $124,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,800.00 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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Saint Joseph, MO? The most popular types of Machine Learning Engineer jobs in Saint Joseph, MO are:
What job categories do people searching Machine Learning Engineer jobs in Saint Joseph, MO look for? The top searched job categories for Machine Learning Engineer jobs in Saint Joseph, MO are:
What cities near Saint Joseph, MO are hiring for Machine Learning Engineer jobs? Cities near Saint Joseph, MO with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Saint Joseph, MO as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,434 per year, or $59.8 per hour.

Consultant - AI Solutions & Architecture - 1898 & Co. (Kansas City)

Burns & McDonnell

Kansas City, MO • On-site

Full-time

Re-posted 6 days ago

Burns & McDonnell rating

8.7

Company rating: 8.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

3rd of 80 rated construction

Job description

Description At 1898 & Co., we help our clients unlock the power of data and analytics to shape smarter business strategies and drive innovation. Our Business Intelligence & Analytics team works with electric utilities, energy companies, and other critical infrastructure clients to design, implement, and deliver advanced analytics and AI-enabled solutions. As part of Burns & McDonnell, we bring decades of industry expertise and a spirit of innovation to solve some of the most pressing infrastructure challenges of our time.
We are seeking a consultant focused on AI solutions and architecture who is passionate about applying analytics and artificial intelligence to transform utility operations and decision-making. In this role you'll partner with clients to identify high-impact opportunities, shape AI strategies, and collaborate with data scientists, engineers, and business experts to design solutions that transform operations, improve customer experiences, and advance sustainability. You'll bring curiosity, adaptability, and a commitment to continual learning to stay ahead of emerging technologies and their applications in the industry.
What You'll Do
  • Conduct research into the application of analytics to new domains, with a focus on electric utilities and critical infrastructure.
  • Apply a pragmatic problem-solving approach to create value while ensuring robustness and data integrity.
  • Document and summarize findings, develop visualizations, and communicate insights effectively to stakeholders.
  • Envision and design AI-enabled solutions that address challenges such as grid modernization, asset management, outage prediction, renewable integration, and customer engagement.
  • Work closely with clients to translate business needs into AI/analytics opportunities and define solution roadmaps.
  • Collaborate with technical experts to ensure solutions are practical, scalable, and aligned with client goals.
  • Stay informed on emerging AI technologies and evaluate their impact on utility operations.
  • Lead workshops and presentations to communicate solution concepts and inspire stakeholder engagement.
  • Provide leadership, mentoring, and guidance to project teams and junior staff.
  • Champion a culture of innovation, continuous learning, and exploration of AI's potential.
  • Thrive in a fast-paced environment with shifting priorities.
  • Ensure QA/QC process adherence and compliance with company policies, quality standards, and safety requirements.
  • Perform other duties as assigned.

Preferred Skills & Experiences
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy. Proficiency with Python and support data and analytics libraries.
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges.
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts.
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges.
  • Strong communication skills with the ability to engage both executives and technical teams.
  • Consulting or client-facing experience strongly preferred.

Qualifications
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, Statistics, Engineering, Math, or related field from an accredited program and 7 years of related experience
  • Master's degree or PhD preferred
  • 5 years of experience in analytics, AI/ML, or utility operations with a strong focus on solution development and strategy preferred
  • Proficiency with Python and support data and analytics libraries preferred
  • Strong familiarity with the electric utility industry, its data domains (AMI, SCADA, GIS, asset/customer systems), and its operational challenges preferred
  • Working knowledge of AI and analytics methods (machine learning, predictive modeling, data visualization) with the ability to collaborate effectively with technical experts preferred
  • Passion for continual learning and applying new AI/analytics advancements to solve real-world industry challenges preferred
  • Strong communication skills with the ability to engage both executives and technical teams preferred.
  • Consulting or client-facing experience strongly preferred.
  • Demonstrated application of analytics processing engines such as Spark, Hadoop, Flink, Storm
  • Experience with commercial analytics tooling such as SAS, SPSS.
  • Experience with Business Intelligence tools such as ThoughtSpot, Tableau or Power BI.
  • Familiarity with the analytics stack from at least one cloud provider.
  • Demonstrated application of data wrangling and supporting tools.
  • Demonstrated application of statistical analytics and machine learning. Experience with a variety of machine learning algorithms and an understanding of the application of other algorithms.
  • Experience with the domain of problems of an Electric Utility strongly preferred.
  • Experience in utility analytics in a technology vendor or utility environment.
  • Proficient in SQL, Python, Python data science libraries. Experience with R or other languages.
  • An understanding of geospatial analytics is preferred.
  • Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
  • Strong problem-solving and analytical skills.
  • Desire to understand why things work the way they do.
  • Ability to present and explain technical concepts to business audiences.
  • All other duties as assigned.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Consulting
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: Yes, 15 % of the Time
About 1898 & Co. 1898 & Co. is a business, technology and security solutions consultancy where experience and foresight come together to unlock lasting advancements. We innovate today to fuel our clients' future growth, catalyzing insights that drive smarter decisions, improve performance and maximize value. As part of Burns & McDonnell, we draw on more than 120 years of deep and broad experience in complex industries as we envision and enable the future for our clients.
Req ID: 253927
Job Hire Type Experienced #LI-EH #E98 N/A

What Burns & McDonnell employees say

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Benefits

Hours and flexibility

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About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

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