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Weekend Machine Learning Software Engineer Jobs in Orlando, FL

Summary  CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

The ideal candidate is someone who builds and supports the platform that enables machine learning ... Java experience Required Education Bachelor's degree in Computer Science, Software Engineering ...

New

About the Role Join a dynamic and innovative team as a Software Engineer in the Advanced Center for ... learning and applying new tools or languages * - Background in integrating new technologies for ...

Software Engineer II

Orlando, FL

$91K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Software Engineer II

Orlando, FL

$91K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Showing results 21-40

Weekend Machine Learning Software Engineer information

See Orlando, FL salary details

$59.3K

$137.7K

$191.8K

How much do weekend machine learning software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for weekend machine learning software engineer in Orlando, FL is $137,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a weekend machine learning software engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What are the typical responsibilities and collaboration expectations for a weekend machine learning software engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What are the key skills and qualifications needed to thrive as a weekend machine learning software engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Orlando, FL?

The most popular types of Machine Learning Software Engineer jobs in Orlando, FL are:

Infographic showing various Weekend Machine Learning Software Engineer job openings in Orlando, FL as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $137,716 per year, or $66.2 per hour.

Software Engineer

Orlando, FL • On-site

CAE Inc.
Aviation • 10K+ employees

Full-time

Re-posted 27 days ago


CAE rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Who We Are: 

  • CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers’ training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness. 

  • CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness. 

  • CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make a difference in the world while helping each other succeed. 

What We Have to Offer: 

  • Comprehensive and competitive benefits package and flexibility that promotes work-life balance 

  • A work environment where all employees are valued, respected and safe 

  • Freedom to succeed by enabling team members to deliver, take initiatives and make decisions 

  • Recognition, professional development, advancement and having fun! 

Summary  

CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based software products for internal Research and Development and/or Department of Defense contracts.  This position is a fully on-site position with location in Orlando or Tampa, Florida. 

Essential Duties and Responsibilities  

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

  • Support the development, deployment, and sustainment of technology demonstrators 

  • Present and conduct technology demonstrations to leadership and potential customers  

  • Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test 

  • Perform as part of an Agile (SAFe) team (scrums, planning, retrospectives) 

  • May include travel 

Qualifications and Education Requirements  

  • The skillsets required for this role will vary based on what systems you are working on. To be considered, you should have knowledge and experience in 2 or more of the following categories: 

  • Frontend development (Angular, React, Vue, Typescript, etc.) 

  • Experience with real time streaming applications 

  • Experience with GIS 

  • Experience with WFS/WMS layers 

  • Experience with Cesium 

  • Experience with Geoserver 

  • Backend development (C#, .NET, C++, Python, Node, etc.) 

  • Data storage and messaging (PostgreSQL, Neo4J, RabbitMq, Kafka, WebSockets, etc.) 

  • DevOps (Docker, Kubernetes, ArgoCD, OpenShift, Jenkins, Terraform, GitLab Runner, etc.) 

  • Cloud Systems (Azure, GCP, AWS) 

  • Bachelor’s degree in engineering, software, or computer science. 

  • Minimum of 5 years of relevant software engineering experience   

  • Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.  

Preferred Skills  

  • Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling 

  • Geospatial data processing and visualization (GDAL, PDAL, PostGIS, Geoserver, OpenLayers, Leaflet, Cesium) 

  • SAFe Certification 

  • Experience with gaming technologies such as Unity 3D, Unreal Engine 

  • IAT Level 2 Certification (e.g. Security +) 

Security Responsibilities  

Must comply with all company security and data protection / usage policies and procedures.  Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside company without management approval.  All government and proprietary information will be accessed and stored electronically on company provided resources.   

  •  Incumbent must be eligible for DoD Personal Security Clearance.  

 

Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.  

 

Work Environment  

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.  

Physical Demands  

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.   

  • Must be able to perform normal office duties (sitting for long periods at a desk and in technical meetings) 

  • Must be able to climb stairs on a regular basis 

  • Must be willing to work overtime 

  • Must be able to travel CONUS and to international sites 

  • Must be able to travel via car and airplane 

  

Other Duties  

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.  

 

CAE USA Inc. is an equal opportunity employer, and all qualified applicants will be considered for employment without regard to any protected characteristic, including disability and protected veteran status, as defined under federal, state, or local laws. 

 

Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process.  If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at hrops@caemilusa.com 

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position Type                      Regular

Equal Opportunity Employer

CAE is an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees without regard to race, color, national origin, age, religion, sex, disability status, protected veteran status, or any other  characteristic protected by federal, state or local laws. At CAE, everyone is welcome to contribute to our success. Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process. If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at CAECarrieres-Careers@cae.com.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.


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