1

Python Machine Learning Jobs in San Diego, CA (NOW HIRING)

Senior Machine Learning Engineer, Robotics

San Diego, CA · On-site

$110K - $152K/yr

Proficiency with Python * Experience with Computer Vision and Machine Learning * Experience with System Integration We prefer: * Masters or PhD Degree in Computer Science, Robotics, Machine Learning ...

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

  • Medical

  • Dental

  • Retirement

Description As a Video Machine Learning Algorithm Engineer on our team, you will be at the ... Strong programming skills in Python and/or C/C++, with demonstrated ability to debug and solve ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go). Solid understanding of * Machine learning fundamentals (supervised, unsupervised, deep ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go) Solid understanding of: * Machine learning fundamentals (supervised, unsupervised, deep ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go) Solid understanding of: * Machine learning fundamentals (supervised, unsupervised, deep ...

Showing results 21-40

Python Machine Learning information

See San Diego, CA salary details

$14

$62

$91

How much do python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for 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 Python machine learning?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What does a typical workday look like for a Python machine learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What are the key skills and qualifications needed to thrive in the Python machine learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What are the most commonly searched types of Python Machine Learning jobs in San Diego, CA?

The most popular types of Python Machine Learning jobs in San Diego, CA are:

What job categories do people searching Python Machine Learning jobs in San Diego, CA look for?

The top searched job categories for Python Machine Learning jobs in San Diego, CA are:

Infographic showing various Python Machine Learning job openings in San Diego, CA as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Machine Learning Engineer III

The Marlin Alliance, Inc.

San Diego, CA • On-site

$61 - $82/hr

Full-time

Re-posted 20 hours ago


Job description

Job Summary:
The Marlin Alliance, Inc. is a digital transformation company dedicated to ensuring clients compete in tomorrow's digital world. The Machine Learning Engineer III designs and implements sophisticated models and algorithms for naval applications, overseeing the full lifecycle of AI solutions and collaborating across multidisciplinary teams to deliver scalable, mission-critical intelligence.
Responsibilities:
• Design, develop, and implement machine learning models and algorithms for naval applications.
• Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
• Perform data preprocessing, feature engineering, model evaluation, and validation.
• Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
• Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
• Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
• Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
• Apply cybersecurity principles in the design and deployment of machine learning systems.
• Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
• Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
Qualifications:
Required:
• 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
• Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
• Strong programming skills in Python.
• Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with software engineering best practices, including Git.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Java, C++, Go, or Rust.
• Experience with distributed computing and parallel processing.
• Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Previous experience supporting government agencies or military organizations.
• Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
• Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
• Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
• Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Preferred:
• Experience with cloud-native architecture and software API design.
• Experience integrating machine learning into operational DoD systems or edge computing environments.
• Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
• Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.
• Advanced degrees (MS/PhD) in related fields are preferred but not required.
• Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.
Company:
The Marlin Alliance, Inc. Founded in 2002, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.