Senior Research Engineer

Flow Traders; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Flow Traders in London seeks a Senior Research Engineer to drive the development and rollout of a global ML research framework. You will build data-driven models for production trading and partner with Quantitative Researchers to test hypotheses and refine trading signals.

The role requires an advanced degree and 8+ years in MLOps or ML research, with expertise in Python, ML pipelines, and cloud/container tech. Expect a collaborative, fast-paced fintech environment in a London office.

Qualifications

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar.
• 8+ years of hands-on experience in MLOps, Research Engineering, or ML Research.
• Strong background in mathematics and statistics.
• Proficiency in Python and libraries such as NumPy, PyTorch, Polars, Pandas, and Ray.
• Experience designing end-to-end ML pipelines: preprocessing, training, deployment, monitoring.
• Familiarity with modern software practices (Agile, version control, automated testing, CI/CD, observability).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Responsibilities

• Help to lead the development and global rollout of our research framework.
• Collaborate with Quantitative Researchers to test hypotheses and develop trading signals.
• Develop models for trading in production and ensure data-driven training workflows.

Skills

Python

MLOps

Research engineering

Machine learning

Statistics

Data preprocessing

Model deployment

CI/CD

Cloud platforms

Education

Master's or PhD in ML/CS/Physics/Statistics

Tools

Docker

Kubernetes

AWS

Azure

GCP

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)