Senior Machine Learning Engineer at Longshot Systems building advanced platforms for sports betting analytics. Collaborating with teams to turn prototype trading models into production systems.
Responsibilities
Build advanced platforms for sports betting analytics and trading
Work closely with quantitative research teams to turn prototype trading models into production-ready systems
Design and build tooling, frameworks, and data engineering to support strategy research and development
Architect high-level design of strategy software to minimise trading latency and scale effectively
Requirements
A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top university
Significant software engineering skills and experience, especially on the modern Python ML stack
Takes pride in engineering excellence and encourages best practice in others
A systematic, analytical approach to tackling problems and designing solutions
Experience with:
Python programming
Proficient in C/C++ on modern architectures
Experience with the NumPy/SciPy stack
Working with Linux platforms with knowledge of various scripting languages
Strong general high performance computing:
Multi threading
Profiling Python/C/C++ and performance optimisation
Networking
Nice to have:
Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc
Experience optimising dataframe code, e.g. in Pandas or ideally Polars
Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc
Experience in scientific computing with other languages & frameworks
Benefits
Participation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience
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