Flow Traders
Leading global liquidity provider and market maker. Driving transparency and efficiency in global financial markets.
principal trading • market making • exchange traded products • financial derivatives
501 - 1000
Machine Learning Engineer - London Office
July 3
🏢 In-office - London
AWS
Azure
Cloud
Docker
Google Cloud Platform
Hadoop
Kubernetes
Microservices
Python
PyTorch
Scikit-Learn
Spark
Tensorflow
Flow Traders
Leading global liquidity provider and market maker. Driving transparency and efficiency in global financial markets.
principal trading • market making • exchange traded products • financial derivatives
501 - 1000
Description
• Lead the development and global rollout of 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 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
Requirements
• 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)
Benefits
• Quick-witted, creative minds valued • Challenge to make full use of capacities
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