Senior Machine Learning Engineer

Salary: £50,000 - 84,000 per year

Requirements:

• Bachelors degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field
• 5+ years of professional software engineering experience, with strong computer science fundamentals (data structures, algorithms, systems design)
• Demonstrated mathematical maturity, with comfort in statistics, linear algebra, optimization, and probability
• Deep proficiency in Python; experience with R and/or C/C++ is a strong plus
• Extensive experience with numerical and data science libraries such as 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, particularly when working with imperfect or heterogeneous data
• Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering
• Experience with experiment management, model evaluation pipelines, or ML workflow orchestration
• Familiarity with modern ML/AI infrastructure patterns such as model serving, feature stores, and distributed training
• Experience with performance profiling and optimization of numerical or modeling code
• Prior exposure to financial data, time-series analysis, or quantitative research environments

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, dependencies, and trade-offs with an emphasis on long-term maintainability
• Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization
• Foster engineering consistency, standards, and best practices within Research

Technologies:

• AI
• Linux
• Machine Learning
• Model Serving
• PyTorch
• Python
• TensorFlow
• numpy
• pandas

More:

We are Voleon, a technology company applying state-of-the-art AI and machine learning to real-world problems in finance. For nearly two decades, we have led our industry at the frontier of applying AI/ML to investment management and have grown into a multibillion-dollar asset manager with ambitious goals for the future. Our team includes internationally recognized experts in artificial intelligence and machine learning research, as well as highly experienced finance and technology professionals. We offer a collegial working environment, highly competitive compensation and benefits, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. This Senior Machine Learning Engineer role is on one of our Research teams in London, working in a hybrid, full-time environment at the boundary of research and engineering.

last updated 37 week of 2026