Senior Machine Learning EngineerLongshot Systems Ltd • London, England, United Kingdom
Senior Machine Learning Engineer
Longshot Systems Ltd
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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.
The ideal candidate will have a strong software engineering background, with broad experience across a range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although 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.
Our interview process is as follows:
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
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
Participation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience
10% matched pension contributions
Private healthcare insurance
Long term illness insurance
Gym membership
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Compétences linguistiques
- English
Avis aux utilisateurs
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