Machine Learning Engineer
Pleasanton, CA · On-site
This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real ...
Machine Learning Engineer
Pleasanton, CA · On-site
This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real ...
Machine Learning Engineer
San Mateo, CA · On-site
$110 - $165/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Machine Learning Engineer
San Mateo, CA · On-site
$110 - $165/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
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Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Machine Learning Engineer Location: Sunnyvale, CA (onsite hybrid) Duration: 12+ months Skills required: * Machine Learning: 5-10 Years * NLP technologies: 5-10 Years * NLP scikit learn: 5-10 Years
Machine Learning Engineer Location: Sunnyvale, CA (onsite hybrid) Duration: 12+ months Skills required: * Machine Learning: 5-10 Years * NLP technologies: 5-10 Years * NLP scikit learn: 5-10 Years
Machine Learning Engineer Location: Sunnyvale, CA (onsite hybrid) Duration: 12+ months Skills required: * Machine Learning: 5-10 Years * NLP technologies: 5-10 Years * NLP scikit learn: 5-10 Years
Machine Learning Engineer Location: Sunnyvale, CA (onsite hybrid) Duration: 12+ months Skills required: * Machine Learning: 5-10 Years * NLP technologies: 5-10 Years * NLP scikit learn: 5-10 Years
Machine Learning Engineer
San Mateo, CA · On-site
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...
Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...
Machine Learning Engineer
$102K - $144K/yr
Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Santa Clara, CA · On-site
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
Santa Clara, CA · On-site
Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
AI/Machine Learning Engineer
Fremont, CA · On-site
AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...
AI/Machine Learning Engineer
Fremont, CA · On-site
AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...
AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...
AI/Machine Learning Engineer Fremont, CA, United States About the Job Our client is seeking a highly skilled and motivated AI/Machine Learning Engineer to join their team. As an AI/Machine Learning ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Contract Machine Learning Engineer information
See Santa Clara, CA salary details
$37K - $54.3K
1% of jobs
$54.3K - $71.6K
1% of jobs
$71.6K - $88.9K
5% of jobs
$88.9K - $106.2K
6% of jobs
$120.5K is the 25th percentile. Wages below this are outliers.
$106.2K - $123.5K
14% of jobs
$123.5K - $140.8K
14% of jobs
The median wage is $149.4K / yr.
$140.8K - $158.1K
18% of jobs
$158.1K - $175.4K
14% of jobs
$178.9K is the 75th percentile. Wages above this are outliers.
$175.4K - $192.7K
12% of jobs
$192.7K - $210K
11% of jobs
$210K - $227.3K
5% of jobs
$37K
$151.2K
$227.3K
How much do contract machine learning engineer jobs pay per year?
As of Sep 5, 2026, the average yearly pay for contract machine learning engineer in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.
What is a contract machine learning engineer?
A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.
What are the typical day-to-day responsibilities of a contract machine learning engineer?
As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.
What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?
To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.
What are the most commonly searched types of Machine Learning Engineer jobs in Santa Clara, CA?
The most popular types of Machine Learning Engineer jobs in Santa Clara, CA are:
What are popular job titles related to Contract Machine Learning Engineer jobs in Santa Clara, CA?
For Contract Machine Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
- Machine Learning Engineer Apprenticeship
- Junior Machine Learning Engineer
- Senior Machine Learning Engineer
- Senior Machine Learning Software Engineer
- Senior Machine Learning Researcher
- Hourly Remote Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
- Urgently Hiring Machine Learning Engineer New Grad
- Deep Learning Engineer
- Temporary Machine Learning R
What job categories do people searching Contract Machine Learning Engineer jobs in Santa Clara, CA look for?
The top searched job categories for Contract Machine Learning Engineer jobs in Santa Clara, CA are:
- No Experience Nvidia Machine Learning
- Artificial Intelligence Machine Learning Engineer
- Contract Apple Machine Learning Engineer
- Freelance Machine Learning Compiler Engineer
- Founding Data Engineer
- Deep Learning Quantization
- Remote Tesla Machine Learning Engineer
- Machine Learning Engineer Opt
- Contract Machine Learning Startup
- Bayesian Modeling
What cities near Santa Clara, CA are hiring for Contract Machine Learning Engineer jobs?
Cities near Santa Clara, CA with the most Contract Machine Learning Engineer job openings:
Contractor
Re-posted 10 days ago
Job description
Machine Learning Engineer (Azure Focus) - Remote (PST)
[About the Role]
Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.
[Responsibilities]
- Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
- Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
- Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
- Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations
[Required Skills and Experience]
- Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
- Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
- Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
- Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
- Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
- Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support
[Preferred Skills]
- Experience with Azure Databricks, Azure Functions, and Azure Pipelines
- Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
- Strong feature engineering and ML pipeline automation skills
[Benefits]
- 100% remote work-collaborate with a diverse team from anywhere within PST hours
- Opportunity for contract extension and career progression on impactful enterprise AI projects
- Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices
[How to Apply]
Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.
[About the Role]
Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.
[Responsibilities]
- Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
- Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
- Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
- Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations
[Required Skills and Experience]
- Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
- Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
- Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
- Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
- Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
- Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support
[Preferred Skills]
- Experience with Azure Databricks, Azure Functions, and Azure Pipelines
- Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
- Strong feature engineering and ML pipeline automation skills
[Benefits]
- 100% remote work-collaborate with a diverse team from anywhere within PST hours
- Opportunity for contract extension and career progression on impactful enterprise AI projects
- Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices
[How to Apply]
Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.
About Indotronix
Sourced by ZipRecruiter
In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.
Industry
Recruiting and staffing services
Company size
1,001 - 5,000 Employees
Headquarters location
Rochester, NY, US