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Machine Learning Contract Jobs in Fremont, CA (NOW HIRING)

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...

Spark Tek Inc

Machine Learning Engineer

San Jose, CA · On-site

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low ... Device identifiers (PID, Serial Number, MAC, Hostname), Smart / Virtual accounts, Orders, contracts ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

Menlo Park, CA (Hybrid) Employment Type: 6-Month Contract Compensation: $70.00-$85.00/hour (W-2) Help Advance the Next Generation of AI Agents We're seeking a Senior Machine Learning Engineer to ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ... machine learning experience. * Healthcare domain experience is mandatory -- including HIPAA ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll ... machine learning experience. * Healthcare domain experience is mandatory - including HIPAA ...

Warnerbros

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

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 ...

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Machine Learning Contract information

See Fremont, CA salary details

$15

$24

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How much do machine learning contract jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for machine learning contract in Fremont, CA is $24.98, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $27.88 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 Fremont, CA? The most popular types of Machine Learning jobs in Fremont, CA are:
What are popular job titles related to Machine Learning Contract jobs in Fremont, CA? For Machine Learning Contract jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Fremont, CA look for? The top searched job categories for Machine Learning Contract jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Machine Learning Contract jobs? Cities near Fremont, CA with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,962 per year, or $25 per hour.

Machine Learning Engineer

Jobzhr

Pleasanton, CA • On-site

$110 - $150/hr

Other

Posted 5 days ago

Job description

Drishticon is a Silicon Valley-based IT consulting and technology solutions company specializing in enterprise ecommerce, cloud technologies, systems integration, digital transformation, and mission-critical business platforms. We partner with startups and Fortune 500 organizations to deliver innovative, scalable, and cost-effective technology solutions through onsite and offshore delivery models.

We are searching a ML Engineer for one of our direct clients in Pleasanton CA.

  • Position Type: Contract
  • W2 position
  • Work Location: Hybrid type of work in Pleasanton CA.

Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.

SKILLS:
  • Supervised or unsupervised learning algorithms
  • Neural networks, NLP
  • Python / R / SQL
  • Tensor Flow / Keras / PyTorch
  • Cloud platforms and technologies (MS Azure)
  • DevOps / MLOps

Drishticon is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other legally protected characteristic under applicable federal, state, or local laws.

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