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Remote Python Machine Learning Jobs in San Diego, CA

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Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

Day to day, you'll write Python, wrangle data pipelines, debug production issues, and translate ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

Nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

Day to day, you'll write Python, wrangle data pipelines, debug production issues, and translate ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

nearmap

Machine Learning Engineer

Carlsbad, CA · On-site +1

$101.10K - $138.50K/yr

Day to day, you'll write Python, wrangle data pipelines, debug production issues, and translate ... You communicate clearly, collaborate well with remote teams, and care about shipping things that ...

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site +1

$124.50K/yr

Strong programming skills in Python and understanding of core computer science principles * Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace ...

XIFIN

Associate Machine Learning Engineer

San Diego, CA · On-site +1

$70K - $100K/yr

... Python (including academic projects, internships, research, or personal projects) * Foundational ... Demonstrated interest in artificial intelligence, automation, and applied machine learning ...

MILLENNIUMSOFT

MLOps Engineer - Remote

San Diego, CA · Remote

Implement CI/CD pipelines for machine learning applications to ensure smooth development and ... Strong programming skills in Python, GoLang with experience in other languages such as Java, C ...

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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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Remote Python Machine Learning jobs near you

MLOps Engineer - Remote (AWS Certified Machine Learning)

MILLENNIUMSOFT

San Diego, CA • Remote

$108.80K - $143.30K/yr

Full-time

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

Job description

Overview Join to apply for the MLOps Engineer - Remote (AWS Certified Machine Learning) role at MillenniumSoft Inc . Location : San Diego, CA Duration : 10+ Months Total Hours/week : 40 1st Shift Client : Medical Devices Company Level of Experience : Senior Level Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT) Responsibilities We\'re seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you\'ll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads.

Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally. This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. Qualifications Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field.

3+ years of experience in MLOps, DevOps, or related fields. Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus. Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn.

Proficiency with CI/CD tools such as Github Actions. Hands-on experience with AWS. Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Knowledge of infrastructure-as-code tools such as AWS CDK and Cloudformation. Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. Excellent problem-solving skills and the ability to work independently as well as part of a team.

Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications AWS Certified Machine Learning - Specialty Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon. Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark.

Knowledge of security best practices for machine learning systems. Experience with A/B testing and model performance monitoring. Referrals increase your chances of interviewing at MillenniumSoft Inc by 2x We're unlocking community knowledge in a new way.

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