ZipRecruiter

Log In

1

Freelance Machine Learning Quant Jobs in New Rochelle, NY

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

Our client is building an equity trading engine powered by machine learning. They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and ...

Capital Rx

Senior Machine Learning Engineer

Manhattan, NY · On-site

$161K - $202K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 4+ years of experience in industry with a strong focus on ML solutions development and ...

New

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

previous page

Showing results 41-60

All JobsMachine Learning Quant JobsFreelance Machine Learning Quant JobsFreelance Machine Learning Quant Jobs in New Rochelle, NY

Freelance Machine Learning Quant information

See New Rochelle, NY salary details

$15

$49

$136

How much do freelance machine learning quant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance machine learning quant in New Rochelle, NY is $49.09, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.56 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What job categories do people searching Freelance Machine Learning Quant jobs in New Rochelle, NY look for? The top searched job categories for Freelance Machine Learning Quant jobs in New Rochelle, NY are:
What cities near New Rochelle, NY are hiring for Freelance Machine Learning Quant jobs? Cities near New Rochelle, NY with the most Freelance Machine Learning Quant job openings:
Freelance Machine Learning Quant jobs near you
Infographic showing various Freelance Machine Learning Quant job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $102,114 per year, or $49.1 per hour.

Senior Machine Learning Operations Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
ZeroMark, Inc. builds AI-driven counter-drone systems that work in combat. They are seeking a Senior Machine Learning Operations Engineer to design and implement machine learning pipelines, collaborate with software engineers, and mentor junior engineers in a fast-paced environment.
Responsibilities:
• Design, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.
• Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.
• Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.
• Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.
• Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.
• Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
Required:
• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.
• Technical Skills: Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Technical Skills: Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.
• Technical Skills: Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).
• Technical Skills: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Technical Skills: Experience with MLOps tools and practices.
• Technical Skills: Experience deploying a variety of edge systems.
• Technical Skills: Experience with TensorRT and other similar technologies.
• Technical Skills: Deep knowledge of C++ and Python.
• Domain Knowledge: Experience or strong interest in defense, aerospace, or related industries is highly desirable.
• Domain Knowledge: Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).
• Collaboration & Communication: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Collaboration & Communication: Ability to translate complex technical concepts into clear and concise language.
• Problem-Solving: Strong analytical and problem-solving skills, with a proactive and innovative approach.
• Problem-Solving: Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred:
• Experience with specific computer vision tasks such as object detection, segmentation, or tracking.
• Familiarity with real-time ML systems and embedded systems.
• Contributions to open-source projects or publications in relevant fields.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

Apply