Model Jobs in Manchester, NH
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Model • manchester nh
Lead Machine Learning Model Architect
VirtualVocationsManchester, New Hampshire, United States- Promoted
Remote English Language Audio Model Trainer - AI Trainer ($20-$20 per hour)
MercorManchester, New Hampshire, USThe average salary range is between $ 149,050 and $ 223,950 year , with the average salary hovering around $ 165,880 year .
- information security (from $ 180,913 to $ 246,400 year)
- front end engineer (from $ 235,175 to $ 246,400 year)
- software engineering manager (from $ 207,494 to $ 246,400 year)
- solutions architect (from $ 130,000 to $ 246,400 year)
- researcher (from $ 36,563 to $ 246,250 year)
- hospital (from $ 41,995 to $ 245,000 year)
- security manager (from $ 151,573 to $ 240,788 year)
- model (from $ 149,050 to $ 223,950 year)
- data engineer (from $ 133,000 to $ 211,350 year)
- Glendale, CA (from $ 79,875 to $ 227,500 year)
- Waco, TX (from $ 24,960 to $ 223,950 year)
- Wichita, KS (from $ 65,000 to $ 223,950 year)
- Manchester, NH (from $ 149,050 to $ 223,950 year)
- Santa Clarita, CA (from $ 99,958 to $ 219,500 year)
- Santa Clara, CA (from $ 102,263 to $ 219,500 year)
- Santa Ana, CA (from $ 98,525 to $ 219,500 year)
- Carrollton, TX (from $ 26,813 to $ 205,385 year)
- Cambridge, MA (from $ 97,500 to $ 201,625 year)
- Alexandria, VA (from $ 85,000 to $ 201,488 year)
The average salary range is between $ 58,518 and $ 155,836 year , with the average salary hovering around $ 100,651 year .
Related searches
Lead Machine Learning Model Architect
VirtualVocationsManchester, New Hampshire, United States- Full-time
A company is looking for a Lead of Modeling / Deputy to Head of ML.
Key Responsibilities
Lead the design and evolution of the Model Architecture Portfolio for ML models
Build and maintain training pipelines and define validation protocols for model performance
Lead and mentor a team of ML researchers and modeling engineers, ensuring high standards for modeling quality
Required Qualifications
7+ years in machine learning, with 3+ years in quantitative finance or financial ML
Deep knowledge of ML models and strong statistical background
Experience in building real-time or near-real-time ML systems and pipelines
Familiarity with market microstructure and order book data
Experience leading technical teams and driving modeling strategy