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Mining Engineer Jobs in Kansas (NOW HIRING)

Productive Resources LLC

Engineer II

Kansas City, KS · On-site

Engineer II Kansas City, KS - Full Time Productive Resources (www.productiveresources.com) is ... mining, recreational, industrial, and specialty machines. We lead with our reputation for quality ...

Productive Resources

Engineer II

Kansas City, KS · On-site

$80K - $130K/yr

Engineer II Kansas City, KS - Full Time Productive Resources (www.productiveresources.com) is ... mining, recreational, industrial, and specialty machines. We lead with our reputation for quality ...

Strata, LLC

Be Seen First

GEOLOGIST/ENGINEER I/II - UIC / GIS

Wichita, KS · On-site

$60K - $80K/yr

... mining, midstream oil and gas, petrochemical, and industrial clients. Participate in energy ... Interest in engineering analysis, engineering design, project management, and project controls ...

Qodoro Global LLC

Maintenance Superintendent

Lyons, KS · On-site

Bachelor's degree in Engineering or equivalent experience. * 10+ years in maintenance/reliability with 7+ years in leadership. * 5+ years of mining experience (underground mining preferred). * Strong ...

Highbrow LLC

Data Scientist / ML Engineer

Overland Park, KS · On-site

$100 - $130/hr

... mining, analytics techniques, machine learning software development and reporting 3plus years of ... or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow ...

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Showing results 21-40

All JobsMining Engineer JobsMining Engineer Jobs in Kansas

Mining Engineer information

See Kansas salary details

$29.4K

$79.5K

$126.6K

How much do mining engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mining engineer in Kansas is $79,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $97,200.00 per year, depending on experience, location, and employer.

What is the difference between Mining Engineer vs Geologist?

AspectMining EngineerGeologist
Required CredentialsBachelor's in Mining Engineering, Professional Engineer (PE) license often preferredBachelor's or Master's in Geology or Earth Sciences, relevant certifications
Work EnvironmentMining sites, construction sites, engineering officesResearch labs, field sites, environmental agencies
Industry UsageDesigning and managing mining operations, ensuring safety and efficiencyStudying earth materials, assessing mineral deposits, environmental impact

Mining Engineers focus on planning, designing, and managing mining operations, ensuring safety and efficiency. Geologists analyze earth materials and assess mineral deposits. While both roles work closely in the mining industry, Mining Engineers handle the operational side, whereas Geologists focus on exploration and analysis.

What are some common challenges mining engineers face when working on-site, and how can they prepare for them?

Mining Engineers often encounter challenges such as adapting to remote or harsh work environments, ensuring compliance with rigorous safety regulations, and balancing productivity targets with environmental sustainability. Effective communication and collaboration with geologists, equipment operators, and environmental specialists are crucial for overcoming these challenges. Preparing by gaining hands-on experience, staying current with safety protocols, and developing strong problem-solving skills can help Mining Engineers succeed and adapt to dynamic site conditions.

What do you do as a mining engineer?

A mining engineer designs, plans, and oversees the extraction of minerals from the earth, ensuring safety and efficiency. They analyze geological data, develop mining methods, and manage operations using tools like CAD software, often working in remote or underground environments. Certification and knowledge of safety regulations are essential in this role.

What are the key skills and qualifications needed to thrive as a mining engineer, and why are they important?

To thrive as a Mining Engineer, you need a solid background in mining engineering principles, geology, and mathematics, typically supported by a bachelor’s degree in mining engineering or a related field. Familiarity with mining software such as Surpac, MineSight, or AutoCAD, and relevant certifications like a Professional Engineer (PE) license, are often required. Strong problem-solving abilities, communication skills, and attention to safety help distinguish top performers in this role. These skills ensure efficient mine design, regulatory compliance, and safe, productive operations in complex mining environments.

How much do mining engineers get paid?

Mining engineers typically earn a median annual salary of around $90,000, with salaries ranging from approximately $60,000 to over $130,000 depending on experience, location, and industry. Higher salaries are common in regions with active mining operations and for those with specialized skills or advanced certifications.

What is a mining engineer?

Mining engineers are professionals who design, develop, and manage systems for extracting minerals from the earth safely, efficiently, and sustainably. They are involved in every stage of a mining project, from exploration and feasibility studies to mine design, operations, and closure. Mining engineers work to optimize the extraction process, ensure environmental compliance, and maintain the safety of workers and surrounding communities. Their expertise is critical in balancing economic, environmental, and technical factors in mining operations.

Are mining engineers paid well?

Mining engineers typically earn competitive salaries that reflect their technical expertise and the demanding nature of the industry. Salaries can vary based on experience, location, and the complexity of projects, with many earning above average wages compared to other engineering fields.
More about Mining Engineer jobs
What job categories do people searching Mining Engineer jobs in Kansas look for? The top searched job categories for Mining Engineer jobs in Kansas are:
What cities in Kansas are hiring for Mining Engineer jobs? Cities in Kansas with the most Mining Engineer job openings:
What are popular job titles related to Mining Engineer jobs in KS? For Mining Engineer jobs in KS, the most frequently searched job titles are:
Mining Engineer jobs near you
Infographic showing various Mining Engineer job openings in Kansas as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $79,538 per year, or $38.2 per hour.

Machine Learning Engineer Principal

The University of Kansas Health System

Mission, KS • On-site

Full-time

Re-posted 2 days ago

University Of Kansas Health System rating

7.5

Company rating: 7.5 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

232nd of 887 rated healthcare providers

Job description

Position Title
Machine Learning Engineer Principal
Broadmoor Campus
Position Summary / Career Interest:
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to advance machine learning applications within a hospital setting. This role is also responsible for developing innovative algorithms and models to improve patient care, operational efficiency, and clinical outcomes. This role requires extensive expertise in machine learning, cloud deployment, and data engineering, with a strong emphasis on applied research and experimentation.
Responsibilities and Essential Job Functions
  • Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications.
  • Design and implement experiments to test and validate new machine learning models and techniques, focusing on improving patient care and hospital operations.
  • Lead methodological research and implementation of methods to adjust for data set shift for healthcare applications
  • Collaborate with clinical staff, academic institutions, research labs, and industry partners to stay at the cutting edge of machine learning research and its applications in healthcare.
  • Publish research findings in top-tier conferences and journals, and present at industry events and seminars.
  • Develop and deploy state-of-the-art machine learning models using iterative development processes, based on statistical approaches and data mining techniques.
  • Identify and implement the most optimal modeling techniques based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning).
  • Implement highly efficient automated processes that produce modeling results at scale.
  • Review current offerings and future developments in artificial intelligence and machine learning and socialize these with key stakeholders to understand needs and potential use cases in the hospital.
  • Perform validation of machine learning models for accuracy and develop recommendations for enhancements based on localized data, monitor their performance post-implementation, and fine-tune for optimal results.
  • Create clear documentation of workflows, methodologies used, and assumptions built in for various levels of technical expertise.
  • Engage in the deployment and integration of predictive models and artificial intelligence into development and production environments within the hospital.
  • Advance the department's capabilities in technical and analytical areas by proactively building partnerships and collaborating with cross-functional teams.
  • Contribute to a culture of innovation, collaboration, and continuous improvement by following the latest developments in machine learning research and technology trends.
  • Able to expertly maintain existing models as well as deployment new models in both Epic and Non-Epic environments
  • Stay up to date with the latest changes from Epic to their analytics and predictive modeling applications through (e.g.) Nova Notes
  • Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
  • These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience
  • Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent experience)
  • 7 or more years of experience using data mining/analytical methods and associated tools such as Python, R, etc.
  • 7 or more years of experience with SQL in a relational database or an equivalent combination of education and experience
  • 5 or more years of experience with various machine learning methods: unsupervised learning, semi-supervised, supervised learning, as well as anomaly detection, natural language processing and dimensionality reduction
  • 5 or more years of experience with containerization and orchestration tools such as Docker and Kubernetes
  • 5 or more years of experience with cloud computing platforms such as Azure
  • 3 or more years of experience with Nebula, Epic's cloud computing and modeling platform

Preferred Education and Experience
  • Master's Degree in a related field OR
  • Doctorate in a related field
  • Experience working with business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
  • Experience with analytical documentation tools such as Jupyter Notebook
  • Experience in a relevant industry or environment

Required Licensure and Certification
  • Epic certification in 4 data model(s). If not certified, certification is required within 12 months from employment within 1 Year

Time Type:
Full time
Job Requisition ID:
R-52607
Important information for you to know as you apply:
  • The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
  • The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link asktalentacquisition@kumc.edu.
  • Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.

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About University of Kansas Health System

Sourced by ZipRecruiter

Operating within the healthcare industry, The University of Kansas Health System is a renowned medical institution located in Kansas City, KS, United States. Established in 1905, this not-for-profit health system has evolved to offer an extensive range of products and services, which spans across a variety of specialist areas such as cancer care, neurology, cardiology, and organ transplants, among others. The core mission of The University of Kansas Health System is to enhance the health and wellness of individuals and communities by providing world-class healthcare services, quality education and conducting advanced research. They are also known for their unwavering commitment to academic medicine, which sets them apart from their peers.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Kansas City, KS, US

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