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 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.
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.
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 machine learning software engineer jobs pay per year?
As of Sep 11, 2026, the average yearly pay for 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 does a machine learning software engineer do?
A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.
What are the key skills and qualifications needed to thrive as a machine learning software engineer?
To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.
Is machine learning software engineer a high paying job?
Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.
More about Machine Learning Software Engineer jobs
What cities are hiring for Machine Learning Software Engineer jobs?
Cities with the most 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 Machine Learning Software Engineer jobs?
States with the most job openings for Machine Learning Software Engineer jobs include:
What are popular job titles related to Machine Learning Software Engineer jobs?
For 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 yesterday
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