Longshot Systems Ltd
Graduate Machine Learning Researcher
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Graduate Machine Learning Researcher
At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring Graduate Machine Learning Researchers for our quantitative 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 to our models directly impact company success.
You will 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 who has 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 feel 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 isn't required.
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About the Role
- Design, test, and implement new machine learning models in Python.
- Continually improve existing state-of-the-art solutions.
- Be involved in all aspects of the R&D process, from high-level design to production implementation.
- Research and suggest improvements to existing methodologies.
- Tackle problems with creative and innovative approaches.
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.
- A strong mathematical understanding of the fundamentals of Machine Learning and core statistics.
- Keenness to learn from experienced industry experts.
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Working Arrangements
- Hybrid working model: Thursdays in our London (Farringdon) office, remote for the rest of the week.
- Typical working hours: 10 am to 6 pm UK time, Monday to Friday.
- Support for flexible working and trust in team members to manage their own schedules.
Benefits
- 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.
Interview Process
- Intro call (30 mins): Discuss your background and interests.
- Technical interview (60 mins): Modelling discussion and scenario questions.
- Full assessment day (10:00–17:00): Solve a real modelling problem using near-production-level data.
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