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Senior Machine Learning Developer

  • Senior Machine Learning Developer job type Posted on: Nov 03, 2026
  • Senior Machine Learning Developer experience level Triangle Workforce
  • Senior Machine Learning Developer employment type New Canaan, Connecticut
  • Senior Machine Learning Developer salary Salary: $240,000 per year
  • Senior Machine Learning Developer employment type Onsite
  • Senior Machine Learning Developer salary Full-time

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Job Title :

Senior Machine Learning Developer

Job Type :

Full-Time

Job Location :

New Canaan Connecticut United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Job Description

Senior Machine Learning Developer

New Canaan, CT | Hedge fund opportunity

Base salary: $240,000-$275,000

Triangle Workforce is recruiting a senior machine learning developer for a hedge fund in New Canaan, Connecticut. Build and improve machine learning software, prepare and validate data, evaluate models and turn research prototypes into maintainable systems. Work with research and engineering colleagues on reliable delivery, testing and monitoring.

Requirements: Strong Python, machine learning model development and evaluation, data pipelines and production software engineering. Ability to explain model behavior and work across technical teams.

Jobcon Logo Position Details

Posted:

Nov 03, 2026

Reference Number:

f77ba639

Employment:

Full-time

Salary:

$240,000 per year

City:

New Canaan

Job Origin:

ziprecruiter

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Job Description

Job Description

Senior Machine Learning Developer

New Canaan, CT | Hedge fund opportunity

Base salary: $240,000-$275,000

Triangle Workforce is recruiting a senior machine learning developer for a hedge fund in New Canaan, Connecticut. Build and improve machine learning software, prepare and validate data, evaluate models and turn research prototypes into maintainable systems. Work with research and engineering colleagues on reliable delivery, testing and monitoring.

Requirements: Strong Python, machine learning model development and evaluation, data pipelines and production software engineering. Ability to explain model behavior and work across technical teams.

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