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Hourly Remote Machine Learning Engineer Jobs in Lawrence, KS

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Roadway Design Engineer - Kansas City, KS

Lenexa, KS · On-site +1

$72K - $88K/yr

Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ... machinery, occasional need to walk on uneven ground, exposure to dust, gas or fumes, exposure to ...

ARCHER Engineer

Leavenworth, KS · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0244060 Location: Leavenworth,KS,US Share job via: Share ARCHER Engineer The Opportunity: Are you looking for an opportunity to combine your technical skills with big ...

... remote or in office in Lawrence, KS. The program includes a balance between on-the-job learning ... Requirements Rising Junior or Senior with a major in Computer Science, Software Engineering, or a ...

We engineer and design solutions that improve the world around us. As a company, we promise to ... fully remote in various locations of the US. This role includes flexible work options to ...

Senior Fire Life Safety Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

Some consideration may be made for highly skilled and Lead engineers in other remote locations. We offer relocation to our district office in Lenexa Kansas. Responsibilities Provide fire protection ...

You'll partner closely with engineering and cross-functional stakeholders to align scope, manage ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Showing results 21-40

Hourly Remote Machine Learning Engineer information

See Lawrence, KS salary details

$24K

$40.2K

$83K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for hourly remote machine learning engineer in Lawrence, KS is $40,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,400.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Lawrence, KS look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Lawrence, KS are:

Lead AI Software Engineer

Epiq

Kansas City, KS • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

136th of 224 rated it services


Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

Epiq is seeking a highly skilledLead AI Software Engineerto join our Operations Engineering team. This role is ideal for candidates who are passionate about building applied AI systems-not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.

You'll work at the intersection of software engineering and AI, leveraging modern technologies such asGenAI,LLMs,MCP servers, andagentic frameworksto build scalable, production-ready solutions. This role will also champion modern development practices and utilizeAzure DevOpsfor agile delivery and ticketing.

Key Responsibilities

  • Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.

  • Integrate GenAI and LLMs into applications via APIs and microservices.

  • Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.

  • Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.

  • Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency.

  • Apply prompt engineering techniques to optimize model interactions and outcomes.

  • Ensure compliance, security, and ethical standards in all AI development.

  • Document processes, architectures, and best practices in Epiq's internal knowledge base.

  • Integrate external products with Epiq's proprietary solutions.

  • Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Qualifications & Experience

  • Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.

  • Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).

  • Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.

  • Familiarity with cloud platforms (Azure/AWS) and their AI services.

  • Experience with API development, microservices architecture, and CI/CD pipelines.

  • Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps.

  • Solid understanding of software engineering principles, data structures, and algorithms.

  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders.

  • Bachelor's degree in Computer Science or related field (or equivalent experience).

#LI-KS1 #LI-Remote

The Compensation range for this role is 120,000 to 170,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

  • Use storytelling to build buy-in

  • Align communication with organizational goals

  • Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.

  • Use data to identify improvement opportunities

  • Make informed decisions

  • Align team goals with boarder strategy

  • Empower teams to manage their own goals

  • Translate vision into clear priorities

  • Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

  • Improve workflows for team efficiency

  • Use clear documentation and expectations

  • Resolve issues quickly using data and feedback

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


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