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Weekend Machine Learning Software Engineer Jobs (NOW HIRING)

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site

$126.10K - $166.20K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126.10K - $166.20K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work ...

Netflix

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We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. In this role, you will apply your expertise in software engineering to design, develop ...

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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 the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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 cities are hiring for Weekend Machine Learning Software Engineer jobs? Cities with the most Weekend Machine Learning Software Engineer job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Weekend Machine Learning Software Engineer jobs? States with the most job openings for Weekend Machine Learning Software Engineer jobs include:
Weekend Machine Learning Software Engineer jobs near you
Machine Learning Software Engineer

Machine Learning Software Engineer

Shield Consulting Solutions

Annapolis Junction, MD

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. 
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Telework: None
Basic Requirements:
  • 14 years of experience as a software engineer
  • Bachelor’s degree in a technical discipline
    • 4 additional years of experience as a software engineer may be substituted for a degree

Required Experience:
  • AI/ML development or integration experience
  • Terraform experience with AWS
  • C++, Python and/or Golang
  • Experience with writing high-performance / GPU-enabled applications
  • Experience with large-scale streaming data analytic systems

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Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents – available day 1, 8% 401(k) employer match – immediate vesting.  
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
Shield Consulting Solutions is an equal opportunity/affirmative action employer.  All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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