Machine Learning Engineer

Flow Traders is looking for a Machine Learning Engineer to join us in our London office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.

As a Machine Learning Engineer, you will be responsible for helping to lead the development of our trading model research framework and its integration with our platform for deploying/running those models in production. You'll be responsible for expanding the current (limited) scope of the framework and platform to become the global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way.

What you will do

• Lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
• Develop tools/frameworks for use by our Quantitative Researchers and Traders to test hypotheses and tune/develop data-driven systematic trading strategies
• Work with the business to refine requirements, collect feedback, and iterate on design and implementation of research tools

What you need to succeed

• Advanced degree (Master's or PhD) in a relevant field
• 5+ years of hands-on experience in MLOps and Machine Learning Engineering
• Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn
• Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Experience in developing and deploying RESTful APIs and microservices for model serving
• Familiarity with Big Data technologies such as Hadoop and Spark
• Experience with data visualization and reporting tools
• Familiarity with databases and query languages for data extraction and transformation
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Solid understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.