Senior Research Engineer

P2P; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading proprietary trading firm is looking for a Senior Research Engineer to develop their trading model research framework and partner with Quantitative Researchers. Candidates should hold an advanced degree and bring over 8 years of experience in MLOps or ML Research. Strong proficiency in Python and experience in machine learning pipelines is essential. This role is based in London and requires no sponsorship.

Qualifications

• Advanced degree in relevant field with a strong focus on machine learning.
• 8+ years of experience in MLOps or ML Research.
• Strong proficiency in Python and associated libraries.
• Experience with end-to-end machine learning pipelines.

Responsibilities

• Lead the development and rollout of research framework for model training.
• Partner with Quantitative Researchers to conduct and test research.

Skills

Machine Learning

Statistics

Python

MLOps

Research Engineering

Software Development Practices

Cloud Platforms

Education

Master's or PhD in Machine Learning, Statistics, Physics, Computer Science or similar

Tools

Python Libraries (numpy, pytorch, polars, pandas, ray)

Docker

Kubernetes

Job description

Flow Traders is looking for a Senior Research 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 Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What you will do

• Help to 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
• Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals

What you need to succeed

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands-on experience MLOps, Research Engineering, or ML Research
• A strong background in mathematics and statistics
• Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray
• Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

Please note that we do not offer sponsorship for our London office.

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.