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Remote Python Machine Learning Jobs in Santa Monica, CA

Working with structured and unstructured datasets using Python and SQL. * Collaborating closely with Product and Engineering to translate customer problems into machine learning solutions. * Staying ...

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language * Strong understanding of machine learning fundamentals, including model ...

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language * Strong understanding of machine learning fundamentals, including model ...

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

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Remote Python Machine Learning information

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How much do remote python machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote python machine learning in Santa Monica, CA is $65.80, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $74.76 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Santa Monica, CA? The most popular types of Python Machine Learning jobs in Santa Monica, CA are:
What are popular job titles related to Remote Python Machine Learning jobs in Santa Monica, CA? For Remote Python Machine Learning jobs in Santa Monica, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Santa Monica, CA look for? The top searched job categories for Remote Python Machine Learning jobs in Santa Monica, CA are:
What cities near Santa Monica, CA are hiring for Remote Python Machine Learning jobs? Cities near Santa Monica, CA with the most Remote Python Machine Learning job openings:

Machine Learning Engineer

Booz Allen Hamilton, Inc.

El Segundo, CA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0244683
Location:
El Segundo,CA,US
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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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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