Graduate Machine Learning Researcher

Graduate Machine Learning Researcher focuses on the primary goal of this team is to improve the predictive power of our models based on historical event data.

What the role involves

• The primary goal of this team is to improve the predictive power of our models based on historical event data.
• Test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions.
• 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.

Skills and 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.

Confirmed role details

• We are a hybrid working company, working Thursdays in our London (Farringdon) office and remotely the rest of the week.
• Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience.
• 10% matched pension contributions.
• Private healthcare insurance.

Additional role context

• 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.
• Be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies.