Senior ML Engineer - Quant Finance & Systems

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

Benefits offered by this job

Referral bonus

Job summary

Voleon is seeking a Senior Machine Learning Engineer to join the Research team in the United Kingdom. You will partner with PhD researchers to translate novel ideas into production-ready models and build the data pipelines and modeling infrastructure that power our quantitative trading strategies.

This role sits at the boundary of research and engineering. You will analyze statistics and mathematical concepts, contribute to model design discussions, and ensure systems are performant, reliable,

Qualifications

• Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
• 5+ years of professional software engineering experience with strong CS fundamentals.
• Demonstrated mathematical maturity — comfort with statistics, linear algebra, optimization, and probability.
• Deep proficiency in Python; experience with R and/or C/C++ is a strong plus.
• Extensive experience with NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar.
• Proven experience building or maintaining machine learning systems in a distributed computing environment.
• Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility.
• Exceptional attention to detail and strong communication with researchers.

Responsibilities

• Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies
• Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring
• Translate research prototypes and novel ideas into performant, well-tested, production-ready code
• Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle
• Supervise, understand, and remediate subtle data quality issues across both research and production environments
• Proactively lead projects from requirements through delivery, making autonomous decisions about scope and trade-offs
• Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with stakeholders on ownership, execution, and prioritization
• Foster engineering consistency, standards, and best practices within Research

Skills

Python proficiency

CS fundamentals

Distributed systems

NumPy/Pandas

Linux

Communication skills

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

PyTorch

TensorFlow

SciPy

Linux

Job description

Voleon is seeking a Senior Machine Learning Engineer to join the Research team in the United Kingdom. You will partner with PhD researchers to translate novel ideas into production-ready models and build the data pipelines and modeling infrastructure that power our quantitative trading strategies.

This role sits at the boundary of research and engineering. You will analyze statistics and mathematical concepts, contribute to model design discussions, and ensure systems are performant, reliable,