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6 дней назад

Senior Research Engineer (Machine Learning)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Research Engineer (Machine Learning): Developing and globally rolling out a research framework for training, combining, and deploying data-driven trading models with an accent on MLOps, optimization procedures, and production integration. Focus on building end-to-end machine learning pipelines, partnering with Quantitative Researchers on systematic trading strategies, and supporting reliable model deployment and monitoring.

Location: London office, United Kingdom

Company

hirify.global is a proprietary trading firm developing systematic trading models and technology for production trading.

What you will do

  • Help lead the development and global rollout of a research framework for defining and training trading models.
  • Implement optimization workflows including supervised learning and backtesting.
  • Integrate the research framework with the platform used to deploy and run models in production.
  • Partner with Quantitative Researchers to test hypotheses and develop data-driven systematic trading strategies and alpha signals.

Requirements

  • Advanced degree in Machine Learning, Statistics, Physics, Computer Science, or a related field.
  • 8+ years of hands-on experience in MLOps, Research Engineering, or ML Research.
  • Strong background in mathematics and statistics.
  • Strong Python proficiency and experience with NumPy, PyTorch, Polars, Pandas, and Ray.
  • Experience designing and implementing end-to-end machine learning pipelines covering data preprocessing, model training, deployment, and monitoring.
  • Knowledge of modern software development practices, cloud platforms, and containerization technologies such as Docker and Kubernetes.

Culture & Benefits

  • Entrepreneurial and innovative environment within a proprietary trading firm.
  • Opportunity to contribute to a globally rolled-out research framework.
  • Work closely with Quantitative Researchers on production trading models.

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