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Temporary Machine Learning Software Engineer Jobs

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.

$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

$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.

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Temporary Machine Learning Software Engineer information

See salary details

$24K

$104.9K

$189K

How much do temporary machine learning software engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for temporary machine learning software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Software Engineer vs Data Scientist?

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What cities are hiring for Temporary Machine Learning Software Engineer jobs?

Cities with the most Temporary 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 Temporary Machine Learning Software Engineer jobs?

States with the most job openings for Temporary Machine Learning Software Engineer jobs include:

Cleared Machine Learning Software Engineer

Bestgate Engineering

Laurel, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Job description

Cleared Machine Learning Software Engineer

Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.

Required: 

  • 14+ years of software engineering experience supporting programs of similar scope, type, and complexity
  • Experience developing applications with Python, Java, and Scala in Linux environments.
  • Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
  • Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
  • Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
  • Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
  • Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
  • Required Security Clearance: TS/SCI w/Poly
Desired:
  • Experience with AWS, Apache Spark, and production machine learning implementations.
  • Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.

Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including:

  • Competitive Pay – Less frill for more in your base pay.
  • Flexible PTO to fit your work/life needs + 11 holidays.
  • 7% 401k Employer Gift – Vested immediately.
  • 100% Paid Carefirst medical premiums for both individuals and families.
  • Training/Career Pathing – Annual budget for training, mentoring, and an Internal Mobility Program.
  • Morale Building Events – Time given to enjoy connecting with other Bestgate Employees.

Apply to learn more about us, and the work we have available!
External Referral Program - If now's not the right time, but you know someone that is looking for a change, we offer competitive external referral bonuses for every hire!
Equal Employment Opportunity: Bestgate Engineering is an Equal Opportunity Employer and federal contractor. We recruit, hire, train, compensate, and promote qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

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