Jobs, fresher vacancy - Senior Machine Learning Engineer • UK

Company: Longshot Systems Ltd

UK

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.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 + interests1st Technical interview (30 mins) - live code review & pair programming2nd Technical interview (60 mins) - deep dive technical questionsFull assessment day (10:30–5pm) - a one day programming exercise designed to be similar to the real work we do in the teamRequirementsA degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top universitySignificant software engineering skills and experience, especially on the modern Python ML stackTakes pride in engineering excellence and encourages best practice in othersA systematic, analytical approach to tackling problems and designing solutionsExperience with:Python programmingProficient in C/C++ on modern architecturesExperience with the NumPy/SciPy stackWorking with Linux platforms with knowledge of various scripting languagesStrong general high performance computing:Multi threadingProfiling Python/C/C++ and performance optimisationNetworkingNice to have:Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etcExperience optimising dataframe code, e.g. in Pandas or ideally PolarsExperience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etcExperience in scientific computing with other languages & frameworksBenefitsParticipation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience10% matched pension contributionsPrivate healthcare insuranceLong term illness insuranceGym membership