1

Weekend Machine Learning Software Engineer Jobs in Ridgefield, CT

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

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

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

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

Machine Learning Tutor

Norwalk, CT · Remote

$18 - $40/hr

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 Sandman/Ad-tech team consists of experienced Machine Learning Engineers, Data Scientists, and ... Drive full software development lifecycle across multiple teams, ensuring high availability, fault ...

The Sandman/Ad-tech team comprises skilled Machine Learning Engineers, Data Scientists, and Full ... Drive full software development lifecycle management, including design, testing, deployment, and ...

AI Data Engineer - Manager

Stamford, CT · On-site

$122K - $146K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Audit AI tools and practices across data, models and software engineering, focusing on continuous ...

next page

Showing results 1-20

Weekend Machine Learning Software Engineer information

See Ridgefield, CT salary details

$63.2K

$146.9K

$204.7K

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 Ridgefield, CT is $146,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $172,300.00 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.
Embedded Software Engineer Staff/Autonomy/AI/Machine Learning

Embedded Software Engineer Staff/Autonomy/AI/Machine Learning

Lockheed Martin

Stratford, CT • On-site

$136K - $179K/yr

Other

Posted yesterday


Key responsibilities

  • Design, analyze, optimize, test, and integrate software and firmware for unmanned aircraft systems.

  • Develop, review, integrate, and test software and firmware for navigation, control systems, communications, perception, and autonomous capabilities.

  • Design and support testing of embedded software in a lab facility, including integration with peripheral equipment such as motor controllers, power regulation systems, battery control, and sensors.


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 387 frontline employees who took The Breakroom Quiz

30th of 60 rated aerospace companies


Job description


WHAT WE'RE DOING
Define the future of aviation. Stand at the forefront of technology and innovation. Transform your ideas and dreams into reality. Join Lockheed Martin's Flight Controls and Autonomy team and be part of the greatest transformation in aviation history; unmanned fully autonomous flight.
The Flight Controls and Autonomy team is currently seeking highly motivated technology pioneers with a desire to steer and lead the Autonomy industry. Successful candidates must be willing and able to work on highly complex complicated problems, leading to world-changing technological breakthroughs.
The team's technical areas of emphasis include Fly-By-Wire Flight Control Systems, Guidance/Navigation & Control (GNC), Flight Test, Autonomy, Aviation Robotics, Perception, AI, and Motion Planning.
THE WORK
In this position the Engineer will be responsible for the design, analysis, optimization, lab testing and system level integration of software and firmware. Perform the development, review, integration, and test of software and firmware to be deployed on Unmanned Aircraft Systems (UAS), including navigation, control systems, communications, perception, and autonomous capabilities. Responsibilities may include the design, and support testing of embedded software in a lab facility, including integration with peripheral equipment including motor controllers, power regulation systems, battery control, and sensors.
Please Note: US citizenship required as most programs and projects assigned are ITAR restricted.
WHO YOU ARE
You have the ability to rapidly develop embedded software and firmware and transition them to flight test. You can collaborate with other researchers and engineers across the autonomy and flight controls team. You can support various programs to develop autonomy including software development, test, system integration and flight tests. The candidate shall have strong coding skills in C/C++, Python, and MATLAB.
This position is based in Stratford, CT.
WHY JOIN US
This role offers a unique blend of autonomy, strategic influence, and technical expertise, allowing you to make a lasting impact on our operations and advance your career as a technology leader.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lockheed Martin logo

About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912