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Machine Learning Contract Jobs in California (NOW HIRING)

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a programmer, you know that machine learning is critical to understanding and processing massive ... as well as contract-specific affordability and organizational requirements. The projected ...

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Experience working on Customs and Border Patrol contracts If you're looking for comfort, keep ...

... machine learning infrastructure that supports scalable, secure, and production-ready AI solutions ... Contract-to-H ... $25.00 hourly Full-time The duties will include day to day bookkeeping, bank ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Shape the team's feature-store strategy - feature contracts, backfills, and freshness SLAs - and ...

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Shape the team's feature-store strategy - feature contracts, backfills, and freshness SLAs - and ...

Showing results 21-40

Machine Learning Contract information

See California salary details

$13

$22

$30

How much do machine learning contract jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning contract in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What are popular job titles related to Machine Learning Contract jobs in California?

For Machine Learning Contract jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Machine Learning Contract jobs?

Cities in California with the most Machine Learning Contract job openings:

Infographic showing various Machine Learning Contract job openings in California as of August 2026, with employment types broken down into 25% Full Time, 13% Part Time, 13% Temporary, and 49% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,846 per year, or $22.5 per hour.

Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA)

Stage 4 Solutions Inc

San Francisco, CA • On-site

$55 - $60/hr

Contractor

Medical, Retirement

Posted 23 days ago


Job description

Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA)
 
We are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions for one of our global retail clients. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and modern MLOps practices. This role requires hands-on experience building scalable machine learning models and deploying them on Microsoft Azure.
 
This is a 40-hour per week, 6-month contract (possible extension), a hybrid role in San Francisco, CA.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and optimize machine learning models using supervised and unsupervised learning techniques.
●    Build and implement deep learning models, including neural networks, for a variety of business use cases.
●    Develop NLP solutions for text classification, information extraction, semantic analysis, and other language-based applications.
●    Write production-quality code using Python, R, and SQL for data processing, model development, and analytics.
●    Develop, train, and deploy machine learning models using TensorFlow, Keras, and/or PyTorch.
●    Deploy and manage machine learning workloads within Microsoft Azure cloud environments.
●    Implement DevOps and MLOps best practices to automate model training, deployment, monitoring, and lifecycle management.
●    Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.
●    Monitor model performance and continuously improve model accuracy, reliability, and efficiency.
●    Maintain technical documentation and ensure adherence to coding and deployment standards.
 
Requirements:
●    Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
●    5+ years of experience developing and deploying machine learning solutions.
●    Strong experience with supervised and unsupervised learning algorithms.
●    Hands-on experience with neural networks and Natural Language Processing (NLP).
●    Advanced programming experience using Python, R, and SQL.
●    Experience with machine learning frameworks including TensorFlow, Keras, and/or PyTorch.
●    Hands-on experience deploying machine learning solutions on Microsoft Azure.
●    Experience implementing DevOps and MLOps practices for model deployment and lifecycle management.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $55/hr. - $60/hr.
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