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[Remote] Machine Learning Lead

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. Harnham is recruiting for a fast-growing technology business in the e-commerce and payments space, where machine learning supports high-volume real-time transactions. The Machine Learning Engineering Manager will lead a team of four, build and scale production ML systems, own end-to-end pipelines, and contribute to machine learning research within the AI Lab.

Responsibilities

  • Build and deploy production-grade ML models for real-time systems
  • Design scalable ML pipelines and infrastructure for high-throughput environments
  • Develop offline experimentation and evaluation frameworks
  • Improve model performance through statistical methods and feature engineering
  • Work with distributed systems and large-scale data processing
  • Partner with cross-functional teams to deliver ML solutions aligned to business needs
  • Own the full lifecycle from experimentation to production and monitoring

Skills

  • Strong commercial experience in Machine Learning Engineering
  • Expertise in Python, SQL, and distributed frameworks such as Spark
  • Deep understanding of model evaluation, experimentation, and statistics
  • Experience building scalable ML systems from first principles
  • Team leadership experience

Benefits

  • Bonus
  • Equity
  • Fully remote working in the US
  • Unlimited paid time off and flexible working
  • Comprehensive health and financial benefits, including 401k
  • Learning budget and clear ownership of high-impact systems

Company Overview

  • Harnham has actively chosen to focus on Data and Analytics. It was founded in 2006, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https://www.harnham.com/us.
  • Company H1B Sponsorship

  • Harnham has a track record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.