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Machine Learning Engineer

Stanford Black Limited

london, london, United-Kingdom Full-time May 31, 2026
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Vacancy Description

We’re partnering with a high-performing, research-driven team in a systematic trading environment, tackling complex, real-world prediction and optimisation challenges.


This role sits at the intersection of machine learning research, mathematical modelling, and high-performance computing, with a focus on designing, testing, and deploying models in data-rich, noisy, and highly dynamic environments where precision, speed, and robustness are critical.


You’ll develop novel machine learning models for large-scale predictive systems, apply statistical and probabilistic techniques to real-world data, and design rigorous experiments to evaluate performance.


The work also includes simulation-driven approaches such as Monte Carlo and stochastic systems, alongside building high-performance implementations in Python and/or C++, collaborating closely with engineers and researchers to optimise models at scale.


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