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Remote Python Machine Learning Jobs in San Diego, CA

Quality Claims Management

Data Scientist

San Diego, CA · On-site +1

$30 - $35/hr

Develop, train and deploy machine learning models including image recognition/computer vision ... Strong programming skills in Python with experience in libraries. * Experience with computer vision ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ... Experience with Python * Experience with Data Visualization and Reporting platforms The following ...

DivIHN

AI Engineer (Remote)

San Diego, CA · On-site +1

AI Engineer (Remote) Duration: 12 Months Location: San Diego, CA Work Schedule: 8 AM - 5 PM PT Only ... Proficiency in Python, TensorFlow and other Machine Learning and Artificial Intelligence libraries ...

SynergisticIT

Software Engineer I

Chula Vista, CA · On-site +1

Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ... Python, Statistics, Data Visualization Tools * Projects in ML, AI, or data workflows * Preferred:

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110.90K - $151.80K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... Strong grasp of Machine Learning fundamentals and applied statistical concepts * Solid written and ...

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

As of Jun 4, 2026, the average hourly pay for remote python machine learning in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 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.
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Data Scientist

Data Scientist

Quality Claims Management

San Diego, CA • On-site, Remote

$30 - $35/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

At Quality Claims Management Corp., and our affiliate companies, we have years of expertise in representing financial institutions across a wide range of banking law matters, and we're looking for passionate, driven candidates to join our dynamic team! Our office is located in San Diego, California.
Our workplace is more than just a job - it's a supportive, collaborative environment where your contributions truly matter. You'll be part of a team that values hard work, creativity, and dedication, while enjoying a strong sense of community. We offer performance-based bonuses, competitive compensation, and a range of incentives that reward your success. Plus, with generous benefits, enhanced employer contributions, and paid time off, we prioritize your well-being and work-life balance.
Summary: We are seeking a highly analytical and technically skilled Data Scientist to design, develop, and optimize machine learning models and data pipelines within an AWS environment. This role sits at the intersection of data engineering, machine learning, and UX/UI development and will play a critical role in transforming datasets (including image data) into actionable insights and scalable solutions.
Key Responsibilities:

  • Design, build and maintain scalable data pipelines in AWS (S3, Lambda, Glue, Redshift, SageMaker).
  • Develop, train and deploy machine learning models including image recognition/computer vision algorithms.
  • Identify, evaluate and integrate diverse data sources (structured and unstructured) to support model development.
  • Perform data exploration, cleansing, featuring engineering and statistical analysis to improve model performance.
  • Lead model validation, testing and performance monitoring to ensure accuracy and reliability.
  • Partner with UI/UX and software development teams to translate data outputs into intuitive, user-facing applications.
  • Serve as a bridge between technical teams and business stakeholders to ensure solutions align with operational needs.
  • Drive continuous system enhancements, including automation, optimization, and scalability improvements.
  • Establish best practices for data governance, quality and security within AWS environments.
  • Document models, processes and system architecture for internal and external stakeholders.
  • May perform other duties as assigned to support department goals.
  • May occasionally work extended hours based on operational needs.
Experience and Skills:
  • Analytical problem-solving with a strong attention to detail.
  • Ability to operate in a fast-paced evolving environment.
  • Strong cross-functional collaboration and communication skills.
  • Ownership mindset with a focus on delivering scalable, practical solutions.
Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics or related field.
  • 3+ years of experience in machine learning or a related role.
  • Hands-on experience building data pipelines and working withing AWS ecosystems.
  • Strong programming skills in Python with experience in libraries.
  • Experience with computer vision and image recognition models.
  • Solid understanding of data modeling, statistical analysis and machine learning techniques.
  • Experience working in both structured and unstructured data sources.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Work Schedule:
This is a 100% office position requiring your physical presence at our office in San Diego, California, on Monday through Friday, with business hours from 8:00 AM to 5:00 PM.
Salary Range:
The salary for this position typically ranges from $30-$35 per hour, depending on qualifications, experience, and other factors. Please note that the final offer may differ based on the candidate's specific qualifications, skills, and experience, as well as internal equity and business needs.
Benefits:
Quality Claims Management Corp. and affiliated companies promote work/life balance with a robust wellness program, PTO, remote work, and flexible schedules (when available). Full-time employees become eligible for benefits following a 30-day waiting period, with benefit offerings that include medical, dental, vision, life, AD&D, EAP, STD, and LTD. Additionally the firm provides parental leave for both primary and non-primary caregivers as well. Also available are voluntary income protection benefits such as supplemental life, accident, critical illness, and short and long-term care insurances, as well as a 401(k)-retirement plan with a company match. Part-time employees may have access to some of these benefits, which may be on a pro-rated basis.
Security Requirement:
While performing the duties of this job, the employee is required to ensure the security and confidentiality of all sensitive information, including but not limited to threats or hazards to the security or integrity of sensitive information that could result in any harm or inconvenience to any customer, employee or company.
Work Environment:
A corporate office environment with a professional setting, characterized by a quiet to moderate noise level. Employees may work in individual or shared workspaces, with standard office equipment such as computers, printers, and telephones. Occasional meetings, collaborative discussions, and business activities may contribute to variations in noise levels.
Next Steps:
Ready to take the next step? Apply now and be part of our thriving team!
https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=687a01ed-c0c1-4af4-ba7e-69bf0c5dc833&ccId=9203978792673_2&lang=en_US
Notices:
The above information on this job description is designed to indicate the general nature and level of work performed by incumbents. Other duties and responsibilities not specifically described may be assigned from time to time, consistent with the knowledge, skills, and abilities of the incumbent.
Quality Claims Management Corp. is an Equal Opportunity Employer. We are committed to providing a work environment free from discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
Qualified applicants with a criminal history will be considered pursuant to the San Diego County Fair Chance Ordinance, the California Fair Chance Act, and other applicable state or local laws. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made. After making a conditional offer and running a background check, if there are concerns about a conviction directly related to the job, you will be given the chance to explain the circumstances, provide mitigating evidence, or challenge the accuracy of the background report. For more information about the Fair Chance Ordinance, visit the San Diego County Office of Labor Standards and Enforcement webpage.
As part of our commitment to maintaining a lawful and compliant workforce, we participate in the E-Verify program. All candidates who accept a job offer will be required to complete the E-Verify process to verify their employment eligibility in the United States.
Applications will be accepted until April 30, 2026.

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