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Freelance Full Stack Machine Learning Engineer Jobs in Los Angeles, CA

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission ...

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

... to full-sized data centers * Stay current with the latest machine learning research for wireless ... Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ...

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Freelance Full Stack Machine Learning Engineer information

See Los Angeles, CA salary details

$47.9K

$145.2K

$205.3K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for freelance full stack machine learning engineer in Los Angeles, CA is $145,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $170,200.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Los Angeles, CA?

The most popular types of Full Stack Machine Learning Engineer jobs in Los Angeles, CA are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Los Angeles, CA?

For Freelance Full Stack Machine Learning Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Los Angeles, CA with the most Freelance Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

El Segundo, CA • On-site

Phase2 Technology
51 - 200 employees

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

Job Number: R0244683

Machine Learning Engineer

The Opportunity:

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the U.S. Space Force under the U.S. Department of War. As an AI Solutions Engineer on our Defense Technology Group, you'll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit AI technologies and emerging AI-native processes or workflows. You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions to deliver new software capabilities to our customers with high velocity. Your skills and technical experience will help your clients navigate the landscape of Agentic workflows, AI/ML algorithms, full-stack development, DevSecOps, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for the U.S. Space Force.

Join us. The world can't wait.

You Have:

  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models

  • Experience with developing code using a common programming language, including Python

  • Experience with deep learning, computer vision, or generative AI

  • Experience with data handling and model development

  • Experience with leveraging AI productivity tools for coding, such as Cursor

  • Experience with the Agile software development lifecycle and full-stack web application development

  • Knowledge of JavaScript or TypeScript, Python, and HTML or CSS

  • Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with integration of LLMs and Agentic Workflows within software stacks

  • Experience with Rust, or Java

  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch

  • Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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