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Machine Learning Engineer

QuantOptimus

Falmouth · On-site Full-time Yesterday

About the role

Location

Falmouth

About

Build innovative machine learning models to power our analytics platform and advance quantitative research in a fast‑paced fintech environment.

Responsibilities

  • Develop and deploy sophisticated machine learning algorithms for accurate market signal generation
  • Process and analyze large, complex financial datasets to extract actionable insights
  • Optimize model performance for low‑latency, real‑time trading applications
  • Collaborate with researchers to translate theoretical concepts into practical implementations

Requirements

  • Advanced proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, or similar)
  • Demonstrated experience with cloud platforms (AWS, GCP, or Azure) for scalable deployments
  • Strong knowledge of financial time‑series data analysis and feature engineering
  • Background in deep learning and natural language processing is a plus

Skills

AWSAzureGCPPyTorchPythonTensorFlow

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