At Longshot Systems we’re building advanced platforms for sports betting analytics and trading.
We’re hiring Graduate Machine Learning Researchers for our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us, and improvements on our models directly impact company profitability.
You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company, and so the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation, and a keenness to learn from experienced industry experts.
The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you’ll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Knowledge of sports betting or horse racing, which this team focuses on, isn’t required.
We are a hybrid working company, working Thursdays in our London (Farringdon) office and remotely 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. We are able to sponsor candidates who need a visa.
Our interview process is as follows:
- A 60 minute technical interview with our CEO and/or Team Lead, discussing your previous experience and also discussing some modelling scenarios and how you’d approach them.
- An assessment day, lasting from 9:30 am until 5 pm, where you’ll be tackling a real modelling problem using data very similar to what we use in practice.
Minimum Requirements:
- PhD or research Masters in a quantitative, technical subject (e.g. Maths, Physics, Machine Learning) from a top university.
- Experience modelling tabular data in Python.
Benefits:
- Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience.
- 10% matched pension contributions.
- Private healthcare insurance.
- Long term illness insurance.
- Gym membership.
- Choose your own hardware & setup for your development environment.
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