Graduate Machine Learning Researcher at Longshot Systems Limited

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Quantitative Modelling, Statistical Analysis, Data Analysis, Problem Solving, Creativity, Research, Mathematics, Model Testing, Model Implementation, R&D Process, Autonomy, Innovative Thinking, High-Level Design, Production Implementation

Industry

Software Development

Description

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 on 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 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 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. Our interview process is as follows: Intro call (30 mins) - your background + interests Technical interview (60 mins) - modelling discussion + scenario questions Full assessment day (9:30–5pm) - solving a real modelling problem using near-production-level data 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 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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Responsibilities

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