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Freelance Full Stack Machine Learning Engineer Jobs

The AI Software Engineer supports the development of full-stack Machine Learning (ML) and Generative AI (Gen AI) applications tailored to optimize business. Responsibilities: Support the development ...

... Engineering * AI/Agentic Systems Deployment * Training and Inference Pipeline Design * Full-Stack ... Machine Learning Frameworks * Big Data Technologies * Security Clearance Management Soft Skills

New

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... stack, taking the initiative to solve problems and improve our ML operations. • Act as a self ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts ...

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

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 ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... control stack, including QUA, Qualibrate, and the OPX1000. * Work directly with customers and ...

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen ... full autonomy stack. Required Qualifications: * Master's or PhD in Computer Science, Robotics ...

Job Title: Sr. Full Stack Engineer Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler ... Experience developing machine learning solutions using diverse datasets, including AI model ...

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day - to ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

The Full Stack Software Engineer will design and build features across the technology stack, integrating AI and machine learning to enhance healthcare workflows. Responsibilities : • Work full ...

Build data pipelines and manage the full data lifecycle. Required For This Opportunity * Bachelor ... Must have hands‑on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas ...

Showing results 41-60

Freelance Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Aug 17, 2026, the average yearly pay for freelance full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 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.

More about Freelance Full Stack Machine Learning Engineer jobs

What cities are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities with the most Freelance Full Stack Machine Learning Engineer job openings:

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs?

The most popular types of Full Stack Machine Learning Engineer jobs are:

What states have the most Freelance Full Stack Machine Learning Engineer jobs?

States with the most job openings for Freelance Full Stack Machine Learning Engineer jobs include:

Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Machine Learning Engineer

Booz Allen Hamilton

El Segundo, CA • On-site

$77.60 - $176/hr

Other

Medical, Life, Retirement, PTO

Posted 26 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

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 sof tware 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 sof tware engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions to deliver new sof tware 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 modelsExperience with developing code using a common programming language, including PythonExperience with deep learning, computer vision, or generative AIExperience with data handling and model developmentExperience with leveraging AI productivity tools for coding, such as CursorExperience with the Agile sof tware development lifecycle and full-stack web application developmentKnowledge of JavaScript or TypeScript, Python, and HTML or CSSAbility to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacitiesSecret clearanceBachelor’s degreeNice If You Have:Experience with integration of LLMs and Agentic Workflows within sof tware stacksExperience with Rust, or JavaExperience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorchKnowledge of AWS, Azure, GCP, Databricks, and Palantir FoundryClearance: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.CompensationAt 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 StatementAs 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 PolicyAI 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 ModelOur 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-DiscriminationAll 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. #J-18808-Ljbffr

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914