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Weekend Machine Learning Software Engineer Jobs in Orlando, FL

Software Engineer II

Orlando, FL · On-site

$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 · On-site

$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 ...

... and Human-Machine Interface (HMI) systems * Develops and executes software verification and ... Engineering, Electrical Engineering, Computer Science, or a relevant technical field with ...

The Software Engineer I develops foundational engineering skills while learning established patterns, tools, and processes used by the Engineering team. PRIMARY RESPONSIBILITIES * Contribute to the ...

Junior Python Developer

Orlando, FL · On-site

$62K - $81K/yr

We're always looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, data engineers, and machine learning engineers for ...

Software Engineer Summary: We are seeking a Software Engineer who will join our Engineering team ... Ability to work regular hours and flexible schedules including weekends. Additional Desired Skills:

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Showing results 1-20

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 Jun 29, 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 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, machine learning, and data science can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, complex projects, or working at major tech companies often have compensation packages reaching or exceeding this level.

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 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.

Do software engineers work on weekends?

Software engineers, including those working on machine learning projects, typically work standard weekday hours, but may occasionally work on weekends to meet project deadlines or troubleshoot issues. Weekend work is more common in roles with tight schedules or on-call responsibilities, especially in fast-paced or critical environments.

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 engineers make $300,000 a year?

Senior machine learning software engineers, especially those with expertise in deep learning, data science, and cloud computing, can earn $300,000 or more annually. High compensation often depends on experience, location, company size, and advanced skills in programming languages like Python and frameworks such as TensorFlow or PyTorch.

Which 5 jobs will survive AI?

A Weekend Machine Learning Software Engineer is likely to find that roles involving complex problem-solving, creative tasks, interpersonal communication, strategic planning, and specialized technical skills are more resistant to automation. Jobs requiring human judgment, emotional intelligence, and adaptability are expected to persist despite advances in AI. Continuous learning and expertise in AI tools can also help professionals stay relevant in evolving tech 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 June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $137,716 per year, or $66.2 per hour.
Software Design Engineer (AI)

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide. 

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains.  CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.

#sofweek


As an AI Software Engineer, you will be actively involved with the full software and machine learning lifecycle. You will be expected to support requirements analysis, conduct trade studies for model and framework selection, present AI design architectures, and implement solutions utilizing techniques like Retrieval-Augmented Generation (RAG) and model training or fine-tuning.

Solutions will be created from established requirements using robust engineering processes tailored for AI in production systems. This process will guide the selection, development, and evaluation of foundational models, AI agent platforms, and orchestration frameworks. Additionally, you must be able to independently complete detailed design and development work for individual AI components, establishing robust agent context and memory management capabilities.

Once individually developed, these components must seamlessly integrate into the broader products, frequently requiring integration with vector databases at the subsystem level. Following strict software and ML engineering standards is crucial for building reliable systems, particularly when applying advanced logic like reinforcement learning techniques. Comprehensive documentation of model behavior, integration points, and system architecture is expected throughout the entire effort.

You must also maintain a clear understanding of the project schedule and budget, ensuring all tasks—from initial model evaluation to production deployment—stay on track. Finally, as a senior member of the team, you may be responsible for providing technical oversight on AI integration to the broader development team and communicating directly with the customer to ensure AI capabilities align with their operational needs.


  • Bachelor’s degree in a technical discipline such as electrical engineering, computer science, information technology, systems or software engineering from an accredited college or university.
  • 5+ years of experience designing and developing software modules for integration into large-scale systems and networks.
  • Experience with software/hardware analysis and design, performance analysis, configuration and data management, quality assurance, and specification definition.
  • Must be able to adhere to robust technical specifications and work both independently and as a member of a software development team.

  • Proficiency with AI coding assistants and/or experience developing production-grade AI/ML agents.

Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a TOP SECRET security clearance   Security Clearance requirements will be specified in the Government's Task Order.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.


CESI recognizes that our strength is our people. We support every employee as an individual to build strong teams across the enterprise.  Our benefit package includes:

  • Medical, Dental & Vision Coverage
  • Wellness Program
  • 401(k) Matching
  • Disability (Short Term & Long Term)
  • Employee Assistance Program
  • Life Insurance
  • Education & Training
  • Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

Cole Engineering Services, Inc. is an equal opportunity employer. We consider qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, political affiliation, age, marital status, disability, genetic information, veteran status, membership in an employee organization, or any other basis prohibited by federal, state, or local laws.