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Remote Machine Learning Finance Jobs in Santa Clara, CA

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA · On-site +1

$176K - $308K/yr

You will play a major part in building AI and Machine Learning (ML) solutions that transform the ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Santa Clara, CA

Remote Machine Learning Finance information

See Santa Clara, CA salary details

$29.4K

$108.8K

$159.1K

How much do remote machine learning finance jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote machine learning finance in Santa Clara, CA is $108,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What are the most commonly searched types of Machine Learning Finance jobs in Santa Clara, CA?

The most popular types of Machine Learning Finance jobs in Santa Clara, CA are:

What are popular job titles related to Remote Machine Learning Finance jobs in Santa Clara, CA?

For Remote Machine Learning Finance jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Finance jobs in Santa Clara, CA look for?

The top searched job categories for Remote Machine Learning Finance jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Machine Learning Finance jobs?

Cities near Santa Clara, CA with the most Remote Machine Learning Finance job openings:

Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $108,790 per year, or $52.3 per hour.

Machine Learning Engineer : 26-02124

Akraya Inc.

Pleasanton, CA • On-site, Remote

$55 - $60/hr

Temporary

Re-posted 4 days ago

Job description


Primary Skills: Machine Learning (Expert), Python & SQL (Expert), Deep Learning & NLP (Advanced), Azure AI/ML (Advanced), MLOps & DevOps (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: Pleasanton, CA. Hybrid/Remote (Must Support PST Hours)
Pay Range:$55 - $60 on W2
Job Summary:
We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions for enterprise applications. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and cloud-based AI platforms, with hands-on experience deploying production-ready ML models using Azure and MLOps best practices.
Key Responsibilities:
  • Design, develop, train, and deploy machine learning models for predictive analytics and intelligent automation.
  • Build and optimize supervised and unsupervised learning models to solve complex business problems.
  • Develop deep learning solutions using neural networks and NLP techniques.
  • Create data pipelines for feature engineering, model training, validation, and inference.
  • Deploy, monitor, and maintain ML models using Azure cloud services and MLOps best practices.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable AI solutions.
  • Optimize model performance, accuracy, scalability, and reliability through continuous experimentation and tuning.
  • Develop reusable Python libraries, APIs, and automation scripts for ML workflows.
  • Implement CI/CD pipelines and DevOps practices for model deployment, versioning, and lifecycle management.
  • Document technical designs, model architectures, and deployment processes while following enterprise development standards.
Must-have Skills:
  • 5+ years of experience developing and deploying Machine Learning solutions.
  • Strong expertise in Supervised and Unsupervised Machine Learning Algorithms.
  • Hands-on experience with Neural Networks and Natural Language Processing (NLP).
  • Advanced programming skills in Python, SQL, and R.
  • Experience with machine learning frameworks including TensorFlow, Keras, and PyTorch.
  • Strong experience with Microsoft Azure AI/ML services and cloud-based model deployment.
  • Hands-on knowledge of DevOps and MLOps practices, including CI/CD pipelines and model lifecycle management.
  • Experience with data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating with cross-functional technical teams.
Nice-to-have Skills:
  • Experience with Azure Machine Learning, Azure Databricks, or Azure OpenAI Services.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Experience building REST APIs for ML model serving.
  • Knowledge of Git, version control, and automated deployment pipelines.
  • Experience working in Agile/Scrum environments and enterprise AI initiatives.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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