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Freelance Machine Learning Engineer Jobs in Lawrence, KS

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

Support AI and machine learning initiatives through data preparation and feature engineering * Evaluate future technologies and platforms, including Databricks, as potential components of the data ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Support AI and machine learning initiatives through data preparation and feature engineering * Evaluate future technologies and platforms, including Databricks, as potential components of the data ...

TVH Parts Holding NV

Project Engineer

Olathe, KS · On-site

Must possess machinist experience / training, or experience in the use of precision measurement ... Learning and many in-house/external training courses • On-site restaurant, café, pre-school ...

Miamioh

Director, Business Intelligence Team

Hoyt, KS · On-site

$155K/yr

Build, lead, and develop a high-performing, multi-disciplinary team of analytics, data engineering ... Experience applying predictive analytics, machine learning, or AI capabilities to business or ...

CBRE

Lead Building Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Work with machine operators to detect equipment problems, identify malfunctions, and verify system ... learning, coaching and formal training. We provide employees with resources that support them in ...

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Freelance Machine Learning Engineer information

See Lawrence, KS salary details

$13

$43

$120

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

As of Aug 6, 2026, the average hourly pay for freelance machine learning engineer in Lawrence, KS is $43.55, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $56.39 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?

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 popular job titles related to Freelance Machine Learning Engineer jobs in Lawrence, KS? For Freelance Machine Learning Engineer jobs in Lawrence, KS, the most frequently searched job titles are:
Freelance Machine Learning Engineer jobs near you

Sr Mobile Lead Software Engineer - Mobile Development

Leggett & Platt

Lenexa, KS • On-site

$125K - $156K/yr

Other

Re-posted 13 days ago

Leggett & Platt rating

6.6

Company rating: 6.6 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

30th of 51 rated furniture manufacturers

Job description

Leggett & Platt is seeking a Senior Mobile Lead Software Engineer - Mobile Development to join our development team at the IDEA Center in Lenexa, Kansas. This is an excellent opportunity to be part of a close-knit team in a global organization. In this role, you will drive the architecture, development, and delivery of high-quality mobile applications across iOS and Android platforms, while also contributing to cloud infrastructure, development processes, and emerging AI-driven capabilities. We are seeking someone with strong technical leadership skills, high attention to detail, and a collaborative mindset.

What you will be doing as Senior Mobile Lead Software Engineer - Mobile Development?
  • Lead the design and development of native mobile applications for iOS (Swift/SwiftUI) and Android (Kotlin/Jetpack Compose).
  • Serve as a technical lead and mentor for mobile engineers, conducting code reviews and driving engineering best practices.
  • Architect and implement scalable, maintainable mobile solutions that integrate with cloud services hosted on Microsoft Azure.
  • Collaborate closely with firmware, cloud, and UX teams to deliver cohesive product experiences.
  • Own the mobile CI/CD pipelines using Azure DevOps, ensuring reliable build, test, and release processes.
  • Integrate AI and machine learning capabilities into mobile applications, including on-device inference and cloud-based AI services.
  • Define and implement mobile app architecture patterns (MVVM, Clean Architecture) and reusable component libraries.
To be successful in this role, you will need:
  • Bachelor's degree in Computer Science, Software Engineering or related field.
  • 7+ years of professional software development experience, with 5+ years focused on mobile application development.
  • Expert-level proficiency in iOS development using Swift and SwiftUI.
  • Strong proficiency in Android development using Kotlin and Jetpack Compose.
  • Proven experience publishing and maintaining apps on both the Apple App Store and Google Play Store.
  • Hands-on experience with Microsoft Azure services (Azure App Services, Azure Functions, Azure Blob Storage, Azure Pipelines).
  • Strong command of mobile CI/CD pipelines and automated testing frameworks.
  • Deep understanding of RESTful API design and consumption, as well as real-time communication protocols (WebSocket, MQTT).
  • Experience with Agile development methodologies and sprint-based delivery.
  • Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate across cross-functional teams.
  • Proficiency with Git-based version control and technical collaboration tools (e.g., Azure DevOps, GitHub).
  • Strong interpersonal and communication skills with the ability to translate complex technical topics for diverse audiences.
Things we consider a plus:
  • Experience using Copilot and Claude CLI and Agentic development
  • Experience with prompt engineering, LLM integration, or AI-assisted development workflows.
  • Experience building mobile SDKs or reusable libraries distributed via Swift Package Manager or Maven.
  • Familiarity with BLE (Bluetooth Low Energy) or IoT device communication from mobile.
  • Experience with HealthKit, HomeKit, or other platform-specific frameworks.
  • Knowledge of mobile security best practices including certificate pinning, secure storage, and OAuth 2.0.
  • Experience with test automation frameworks such as XCTest, Espresso, or Appium.
  • Background in software development methodologies such as TDD and BDD.
  • Previous experience in a technical lead or architecture role.

What to Do Next

Now that you've had a chance to learn more about us, what are you waiting for! Apply today and allow us the opportunity to learn more about you and the value you can bring to our team. Once you apply, be sure to create a profile, and sign up for job alerts, so you can be the first to know when new opportunities become available.

Our Values

Our values speak to our shared beliefs and describe how we approach working together.

  • Put People First reflects our commitment to safety and care of each other, learning and development, and creating an inclusive environment of mutual respect, empathy and belonging.
  • Do the Right Thing focuses us on acting with honesty and integrity, delivering the results the right way, taking pride in our work, and speaking the truth - good or bad.
  • Do Great Work...Together occurs when we engage without hierarchy, collaborate as a team, embrace challenges, and work for the good of all of us.
  • Take Ownership and Raise the Bar demonstrates our responsibility to add value and make a difference, challenge the status quo and biases to make things better, foster innovative and creative solutions to drive impact, and explore new perspectives and embrace change.

Our Commitment to You

We're actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all. Leggett & Platt is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veteran status, and more. Join us!

We welcome and encourage applications if you meet the minimum qualifications. Even if you do not meet the preferred qualifications, we'd love the opportunity to consider you.

Equal Employment Opportunity/Veteran/Disability Employer

For more information about how we handle your personal data in connection with our recruiting processes, please refer to the Recruiting Privacy Notice on the "Privacy Notice" tab located at http://privacy.leggett.com

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