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Weekend Machine Learning Software Engineer Jobs in Orlando, FL

... and Human-Machine Interface (HMI) systems * Develops and executes software verification and ... programming (e.g., C, C++, PLC languages if applicable), data structures, and comprehensive ...

Experience in the application of Machine Learning and Artificial Intelligence concepts within the software engineering lifecycle. * Experience in Kubernetes and container orchestration. Please note ...

Experience in the application of Machine Learning and Artificial Intelligence concepts within the software engineering lifecycle. * Experience in Kubernetes and container orchestration. Special ...

Experience in the application of Machine Learning and Artificial Intelligence concepts within the software engineering lifecycle. * Experience in Kubernetes and container orchestration. Special ...

Software Engineer

Orlando, FL

$111.90K - $150K/yr

... a keen interest in continuous learning and skill development Preferred Qualifications ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL ...

Software Engineer II

Orlando, FL

$91K - $124.60K/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 - $124.60K/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 ...

Software Engineer Location: Orlando, FL (Hybrid) Employment Type: Temp (7 Months) Industry ... Integrate third-party services including email, SMS, and learning management standards such as ...

New

... data for machine learning pipelines, feature engineering, and model lifecycle management ... into software applications and system architectures using APIs and microservices - Supports ...

Sr. Software Design Engineer

Orlando, FL · On-site

$106.60K - $140.60K/yr

Experience in the application of Machine Learning and Artificial Intelligence concepts within the software engineering lifecycle. * Experience with back-end development, including node.js, web ...

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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 May 30, 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 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 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 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 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:
Software Engineer

Full-time

Posted 8 days ago


Kratos Defense & Security Solutions rating

7.4

Company rating: 7.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Readiness Delivered. Kratos engineers and deploys technology and systems that move national security forward, with the cost, speed, and reliability that make readiness certain. We are a trusted partner—driven by doing the right thing and achieving maximum success for our customers, our partners and ourselves. Kratos has an exciting opportunity for a Software Engineer I or II. The Software Engineer leverages expertise in Software Engineering principles, real-time programming, control system theory, and system integration methodologies to define, design, develop, test, and manage the complexities of real-time control software for mechanical, fluid, electrical, and safety systems.

  • Responsible for software requirements definition, development, communications (internal and external), and testing
  • Mentors and develops other engineers
  • Conducts requirements analysis to elicit, document, and manage the functional, performance, timing, safety, and non-functional requirements of real-time control software for fluid, electrical, and safety systems, ensuring robust interaction and adherence to relevant software development and safety standards (e.g., IEC 61508 and other applicable industry standards)
  • Develops and maintains detailed software design specifications, well-structured source code, and comprehensive technical documentation
  • Applies software modeling techniques (e.g., UML, state diagrams), simulation tools, and rigorous testing methodologies to analyze, verify, and optimize the structure, behavior, performance, and reliability of control software
  • Performs functional analysis to decompose high-level system control requirements into detailed software functions, modules, and tasks, allocating them to specific software components and defining clear interfaces with hardware (sensors, actuators, PLCs) for fluid, electrical, and safety control
  • Identifies and assesses potential software-related risks associated with development, integration, deployment, and operation—particularly concerning timing constraints, resource utilization, system stability, fault tolerance, and safety integrity for fluid, electrical, and safety control systems.
  • Contributes to the integration aspects of real-time control software, including defining, developing, and managing software interfaces with physical hardware (sensors, actuators, I/O modules), other embedded software modules, communication networks, and Human-Machine Interface (HMI) systems
  • Develops and executes software verification and validation plans, defining the strategy and scope (including unit tests, integration tests, system tests, and regression tests) for ensuring the developed control software meets all specified functional, performance, and safety requirements, potentially utilizing Hardware-in-the-Loop (HIL) simulation and supporting system commissioning activities

  • Follows established software development procedures and adheres to relevant industry standards (e.g., IEC 61508 for functional safety, MISRA C/C++, or other applicable coding standards), and best practices for real-time software
  • Proficient with requirements analysis principles and methodologies as applied to real-time embedded software, including functional, performance, timing, reliability, and safety critical aspects for control systems
  • Experienced with real-time software design and development lifecycles, algorithm implementation, control logic programming (e.g., C, C++, PLC languages if applicable), data structures, and comprehensive software documentation
  • Knowledge of risk management processes related to software development, system integration, and operational reliability, particularly concerning timing constraints, fault tolerance, resource utilization, and safety integrity in control applications for fluid, electrical, and safety systems.
  • Strong computer skills, including proficiency with standard office software, high proficiency in programming languages such as C and/or C++ for real-time embedded systems, experience with version control systems (e.g., Git), and familiarity with development/debugging tools and environments for embedded control systems
  • BS degree in Software Engineering, Computer Engineering, Electrical Engineering, Computer Science, or a relevant technical field with significant software development experience focused on control systems
  • Minimum 3-5 years of experience in real-time software development for industrial control systems, with demonstrable experience in designing, developing, testing, and deploying software for the operational control of fluid systems, electrical systems, and/or safety-critical applications

Preferred Skills/Experience

  • Proficiency with Hardware-in-the-Loop (HIL) simulation platforms and methodologies for testing and validating control software
  • In-depth knowledge and practical experience with industrial communication protocols such as DDS, OPC UA, or MQTT, including protocol analysis and troubleshooting
  • Knowledge of cybersecurity principles and best practices for Industrial Control Systems (ICS) and SCADA environments (e.g., IEC 62443)
  • Experience with any combination of: Git, Jira, and Jama requirements management software
  • Knowledge and/or experience with relevant quality management systems (e.g., ISO 9001) and CMMC

#LI-Onsite 

Competitive salary based on experience and education

Kratos is valued for our ability to design and deliver leading edge, resilient solutions for aerospace communication, control, awareness and mission success across a continuum of offerings—from commercial to tailored custom solutions and integrated programs. Customers trust us to stay relevant and know we are in it for the long-haul. We bring both the capability and confidence that our customers value and depend on. And we always deliver.

This posting will close within 90 days from the Posting Date.