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Freelance Machine Learning Engineer Jobs in Kansas

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

Wichita, KS; Lawton OK; or Round Rock, TX Job Purpose/Summary The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical ...

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

As the first dedicated internal Machine Learning Engineer for this product, they willplay acriticalrole inrequirements generation, team leadership, andinfluencing the future of our products. This is ...

Bespoke Labs

Machine Learning Engineer

Pittsburg, KS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Wichita, KS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Topeka, KS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation ...

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Freelance Machine Learning Engineer information

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$13

$42

$117

How much do freelance machine learning engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for freelance machine learning engineer in Kansas is $42.55, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $55.10 per hour, depending on experience, location, and employer.

What does a Freelance Machine Learning Engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Kansas? The most popular types of Machine Learning Engineer jobs in Kansas are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in Kansas? For Freelance Machine Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Freelance Machine Learning Engineer jobs? Cities in Kansas with the most Freelance Machine Learning Engineer job openings:
Freelance Machine Learning Engineer jobs near you
Machine Learning Engineer Principal

Machine Learning Engineer Principal

The University of Kansas Health System

Mission, KS • On-site

Full-time

Posted 20 days ago

University Of Kansas Health System rating

7.5

Company rating: 7.5 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

229th of 876 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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What University Of Kansas Health System employees say

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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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