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Hourly Remote Machine Learning Engineer Jobs in Lawrence, KS

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ... remote sensing platforms * Understanding of IT protocols, networking, and database management

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Support AI and machine learning initiatives through data preparation and feature engineering ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

Support AI and machine learning initiatives through data preparation and feature engineering ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

NinjaOne

Junior Software Packaging Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Side projects, self-directed learning, or community contributions are all good signs. • Genuine ...

Lochner

Airport Design Engineer

Lenexa, KS · On-site +1

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 ...

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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 Jul 28, 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 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 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 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:
Hourly Remote Machine Learning Engineer jobs near you
Software Development Engineer

Software Development Engineer

Wood Plc

Topeka, KS • On-site, Remote

Other

Posted 21 days ago

Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is seeking is seeking a highly motivated Software Development Engineer with Water Resources software development experience to join our Kansas Operations. Qualified applicants are required to have experience with water resources modeling applications, Information Management & GIS, Python and R programming. Our ideal candidate prefers to focus on water resources related projects and has a degree either in computer science or computer information systems. Applicants with a minimum of 5-10 years of experience are preferred. 

Key Responsibilities: 

  • Work as part of a team to develop software applications for engineering and information management projects  
  • Build custom applications and tools that integrate with other H&H engineering software programs such as HEC-RAS 
  • Utilize open-source GIS-based tools to develop H&H modeling suites for flood modeling applications 
  • Analyze and develop innovative solutions to improve upon existing applications 
  • Work within a team of programmers nationally, predominantly focused on water resources application development in support of our flood hazard mapping program, potentially including the maintenance and upgrade of existing tools 
  • Support project managers in the development of custom applications to improve process efficiencies and ensure project success, as well as conveying potential application development concepts to our clients 
Skills / Qualifications

Role Requirements:

  • BS degree in Computer Science or Information Systems 
  • 5-10 years of experience supporting water resource applications and/or information management projects 
  • Python, C#, JavaScript experience is a must 
  • Desired experience of applicants includes:  
  • R Scripting 
  • IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) 
  • Intermediate knowledge of HPC / Data Science 
  • Water Resources Engineering Modeling Software  
  • USACE Software Application Development (i.e. HEC-RAS, HEC-HMS, etc.) 
  • Supplemental experience in one or more of the following areas will also be considered in addition to those required above:  
  • ArcGIS Online and Web Mapping Applications 
  • Batch Scripting  
  • SQL Database Management and analysis 
  • Fortran Programming 
  • Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) 
  • Field Collection/Mobile Applications (IOS, Android, etc.) and associated Esri field collection apps (FieldMaps 
  • Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.) 
  • Experience with Machine Learning, Deep Learning, and/or AI 
  • Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing platforms 
  • Understanding of IT protocols, networking, and database management 
  • Excellent technical writing and communication skills 
  • Successful candidates will have an energetic and positive attitude toward working as part of a team and with multiple clients on diverse projects 
  • Must pass drug test, background check and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy 
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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