Senior Machine Learning Engineer

Overview

At Longshot Systems we build advanced platforms for sports betting analytics and trading. We re hiring Machine Learning Engineers for our modelling engineering team. You d be working closely with the quantitative research teams to turn prototype trading models into production-ready systems, design and build the tooling, frameworks and data engineering required to support strategy research and development as well as architecting the high-level design of the strategy software to minimise trading latency and scale effectively.

Our ML stack is Python based and utilises modern ML libraries and tooling including Polars, Ray, Plotly etc.

• Turn prototype trading models into production-ready systems in collaboration with the quantitative research teams.
• Design and build tooling, frameworks and data engineering to support strategy research and development.
• Architect the high-level design of strategy software to minimise trading latency and enable scaling.
• Contribute to a Python-based ML stack using modern libraries and tooling (e.g., Polars, Ray, Plotly).

• Strong software engineering background with broad experience in high performance computing (multi-threading, networking, profiling, optimisation).
• Essential experience with Num Py/Sci Py stack; experience with C++, Numba or similar performance-optimisation tools is a plus.
• Knowledge of common ML algorithms and techniques is a plus but not essential.

We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals.

• Intro call (30 mins) - your background + interests
• 1st Technical interview (30 mins) - live code review & pair programming
• 2nd Technical interview (60 mins) - deep dive technical questions
• Full assessment day (10:30-5pm) - a one day programming exercise designed to be similar to the real work we do in the team

• 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

• Python programming
• Proficient in C/C++ on modern architectures
• Experience with the Num Py/Sci Py 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

• Data engineering experience in Python (e.g., Dagster, Prefect)
• Experience optimising dataframe code in Pandas or Polars
• Experience with machine learning techniques and libraries/frameworks (scikit-learn, PyTorch, Tensor Flow)
• Experience in scientific computing with other languages and frameworks

• Participation in the uncapped company bonus scheme
• 10% matched pension contributions
• Private healthcare insurance
• Long term illness insurance
• Gym membership