They are seeking a Machine Learning Software Engineer who will be responsible for coding algorithms, progressing designs from prototype to production, and working with machine learning frameworks to ...
They are seeking a Machine Learning Software Engineer who will be responsible for coding algorithms, progressing designs from prototype to production, and working with machine learning frameworks to ...
Cleared Machine Learning Software Engineer
Laurel, MD · On-site
$200 - $250/hr
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Cleared Machine Learning Software Engineer
Laurel, MD · On-site
$200 - $250/hr
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Quick apply
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Cleared Machine Learning Software Engineer
Laurel, MD · On-site
$230K/yr
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Cleared Machine Learning Software Engineer
Laurel, MD · On-site
$230K/yr
Cleared Machine Learning Software Engineer Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations.
Machine Learning / Software Engineer
Kirtland Air Force Base, NM · On-site
$110K - $150K/yr
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
Machine Learning / Software Engineer
Kirtland Air Force Base, NM · On-site
$110K - $150K/yr
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
Machine Learning / Software Engineer
Kirtland Air Force Base, NM · On-site
$110K - $150K/yr
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
Quick apply
Machine Learning / Software Engineer
Kirtland Air Force Base, NM · On-site
$110K - $150K/yr
The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.
Machine Learning Software Engineer II
Dallas, TX · On-site +1
$89K - $123K/yr
Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
Machine Learning Software Engineer II
Dallas, TX · On-site +1
$89K - $123K/yr
Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
Machine Learning Software Engineer II
$99K - $136K/yr
Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
Machine Learning Software Engineer II
$99K - $136K/yr
Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
Machine Learning Software Engineer 1
$29.81 - $48.08/hr
... approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision. • ...
Machine Learning Software Engineer 1
$29.81 - $48.08/hr
... approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision. • ...
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
... for approaching software engineering and/or machine learning problems Essential Job Functions: responsible for executing on tasks to achieve their project's overarching technical vision.
Weekend Machine Learning Software Engineer information
See salary details
$63.5K - $76.4K
2% of jobs
$76.4K - $89.3K
4% of jobs
$89.3K - $102.2K
6% of jobs
$102.2K - $115.1K
8% of jobs
$122.1K is the 25th percentile. Wages below this are outliers.
$115.1K - $128K
7% of jobs
$128K - $141K
18% of jobs
The median wage is $144K / yr.
$141K - $153.9K
16% of jobs
$153.9K - $166.8K
2% of jobs
$172.1K is the 75th percentile. Wages above this are outliers.
$166.8K - $179.7K
26% of jobs
$179.7K - $192.6K
1% of jobs
$192.6K - $205.5K
8% of jobs
$63.5K
$147.5K
$205.5K
How much do weekend machine learning software engineer jobs pay per year?
As of Sep 8, 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 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?
| Aspect | Weekend Machine Learning Software Engineer | Part-Time Data Scientist |
|---|---|---|
| Credentials | Bachelor's or higher in CS, ML, or related fields; experience with ML frameworks | Bachelor's or higher in Data Science, Statistics, or related fields; analytical skills |
| Work Environment | Tech companies, startups, or research labs; project-based tasks | Research institutions, consulting firms, or corporate analytics teams |
| Usage in Industry | Developing ML models, algorithms, and software solutions | Data 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:
What are popular job titles related to Weekend Machine Learning Software Engineer jobs?
For Weekend Machine Learning Software Engineer jobs, the most frequently searched job titles are:
Machine Learning Software Engineer
Remote
Saviance •
IT Services • 201 - 500 employees201 - 500 employees
Full-time
Re-posted 28 days ago
Job description
Job Summary:
Saviance is a technology consulting firm specializing in Big Data, Machine Learning, and Custom Software solutions. They are seeking a Machine Learning Software Engineer who will be responsible for coding algorithms, progressing designs from prototype to production, and working with machine learning frameworks to deliver high-performance systems.
Responsibilities:
• Proficient programmer with formal education in computer science, electrical/computing engineering, or mathematics (in order of preference)
• Proficiency coding algorithms and data structures from high-level specifications that are
• a. almost always data- and compute-intensive,
• b. possibly constrained by real-time deadlines,
• c. therefore always time- and space-efficient,
• d. and production ready
• Proficiency in software engineering to progress designs from prototype to production code
• a. Proficiency with Python3, C18, and C++17
• b. Agile development practices with one- to four-week sprints
• c. Best practices around installation, configuration management, testing, and documentation. Proficiency doing:
• i. Installation with pip, conda, cmake
• ii. Configuration Control with Git with either GitHub or BitBucket
• iii. Unit and Integration Testing with pytest or tox
• iv. Type checking with mypy
• v. Code formatting with black
• vi. Documentation with Python docstring conventions and compliance with pydocstyle
• Proficiency with machine learning and high-performance computing (HPC) frameworks
• a. Proficiency with TensorFlow natively and Keras API
• b. Proficiency also with PyTorch is a plus
• c. Some working knowledge of GP-GPU computing is a plus
• d. Some working knowledge of NVIDIA's CUDA10 and libraries for machine learning and HPC is a plus
• e. Some working knowledge of SQL and NoSQL databases use cases
• i. Database ETL at least using Python APIs like sqlalchemy,psycopg, mysql-python, or sqlite3
• ii. More advanced proficiency in Postgres or MySQL and NoSQL (Neo4j or ArangoDB) a plus
Qualifications:
Required:
• Proficient programmer with formal education in computer science, electrical/computing engineering, or mathematics (in order of preference)
• Proficiency coding algorithms and data structures from high-level specifications that are almost always data- and compute-intensive, possibly constrained by real-time deadlines, therefore always time- and space-efficient, and production ready
• Proficiency in software engineering to progress designs from prototype to production code
• Proficiency with Python3, C18, and C++17
• Agile development practices with one- to four-week sprints
• Best practices around installation, configuration management, testing, and documentation
• Proficiency doing installation with pip, conda, cmake
• Configuration Control with Git with either GitHub or BitBucket
• Unit and Integration Testing with pytest or tox
• Type checking with mypy
• Code formatting with black
• Documentation with Python docstring conventions and compliance with pydocstyle
• Proficiency with machine learning and high-performance computing (HPC) frameworks
• Proficiency with TensorFlow natively and Keras API
• Some working knowledge of SQL and NoSQL databases use cases
• Database ETL at least using Python APIs like sqlalchemy,psycopg, mysql-python, or sqlite3
Preferred:
• Proficiency also with Julia is a plus
• Proficiency also with PyTorch is a plus
• Some working knowledge of GP-GPU computing is a plus
• Some working knowledge of NVIDIA's CUDA10 and libraries for machine learning and HPC is a plus
• More advanced proficiency in Postgres or MySQL and NoSQL (Neo4j or ArangoDB) a plus
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Saviance is a technology consulting firm specializing in Big Data, Machine Learning, and Custom Software solutions. They are seeking a Machine Learning Software Engineer who will be responsible for coding algorithms, progressing designs from prototype to production, and working with machine learning frameworks to deliver high-performance systems.
Responsibilities:
• Proficient programmer with formal education in computer science, electrical/computing engineering, or mathematics (in order of preference)
• Proficiency coding algorithms and data structures from high-level specifications that are
• a. almost always data- and compute-intensive,
• b. possibly constrained by real-time deadlines,
• c. therefore always time- and space-efficient,
• d. and production ready
• Proficiency in software engineering to progress designs from prototype to production code
• a. Proficiency with Python3, C18, and C++17
• b. Agile development practices with one- to four-week sprints
• c. Best practices around installation, configuration management, testing, and documentation. Proficiency doing:
• i. Installation with pip, conda, cmake
• ii. Configuration Control with Git with either GitHub or BitBucket
• iii. Unit and Integration Testing with pytest or tox
• iv. Type checking with mypy
• v. Code formatting with black
• vi. Documentation with Python docstring conventions and compliance with pydocstyle
• Proficiency with machine learning and high-performance computing (HPC) frameworks
• a. Proficiency with TensorFlow natively and Keras API
• b. Proficiency also with PyTorch is a plus
• c. Some working knowledge of GP-GPU computing is a plus
• d. Some working knowledge of NVIDIA's CUDA10 and libraries for machine learning and HPC is a plus
• e. Some working knowledge of SQL and NoSQL databases use cases
• i. Database ETL at least using Python APIs like sqlalchemy,psycopg, mysql-python, or sqlite3
• ii. More advanced proficiency in Postgres or MySQL and NoSQL (Neo4j or ArangoDB) a plus
Qualifications:
Required:
• Proficient programmer with formal education in computer science, electrical/computing engineering, or mathematics (in order of preference)
• Proficiency coding algorithms and data structures from high-level specifications that are almost always data- and compute-intensive, possibly constrained by real-time deadlines, therefore always time- and space-efficient, and production ready
• Proficiency in software engineering to progress designs from prototype to production code
• Proficiency with Python3, C18, and C++17
• Agile development practices with one- to four-week sprints
• Best practices around installation, configuration management, testing, and documentation
• Proficiency doing installation with pip, conda, cmake
• Configuration Control with Git with either GitHub or BitBucket
• Unit and Integration Testing with pytest or tox
• Type checking with mypy
• Code formatting with black
• Documentation with Python docstring conventions and compliance with pydocstyle
• Proficiency with machine learning and high-performance computing (HPC) frameworks
• Proficiency with TensorFlow natively and Keras API
• Some working knowledge of SQL and NoSQL databases use cases
• Database ETL at least using Python APIs like sqlalchemy,psycopg, mysql-python, or sqlite3
Preferred:
• Proficiency also with Julia is a plus
• Proficiency also with PyTorch is a plus
• Some working knowledge of GP-GPU computing is a plus
• Some working knowledge of NVIDIA's CUDA10 and libraries for machine learning and HPC is a plus
• More advanced proficiency in Postgres or MySQL and NoSQL (Neo4j or ArangoDB) a plus
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Saviance
Sourced by ZipRecruiter
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.
Industry
It services
Company size
201 - 500 Employees
Headquarters location
East Rutherford, NJ, US
Year founded
1999