Graduate Machine Learning Researcher

Longshot Systems; Greater London; Hybrid; GBP 42,000 - 54,000; Full time

Benefits offered by this job

Uncapped bonus

Pension match 10%

Private healthcare

Long-term illness insurance

Gym membership

Hardware setup

Job summary

Longshot Systems is hiring Graduate Machine Learning Researchers for our quantitative modelling team in London. You will design, test, and implement new machine learning models in Python while improving existing state-of-the-art solutions.

The role offers hybrid work, with Thursdays in our London office and remote the rest of the week. You will be part of a small, focused team with high autonomy, using a strong mathematical foundation in ML and statistics.

Qualifications

• 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.

Responsibilities

• Design, test, and implement new machine learning models in Python, continually improving existing state-of-the-art solutions.
• Work across the full R&D process from high-level design to production.
• Contribute autonomously and learn from experienced industry experts.

Skills

Python modelling

Quantitative methods

Research experience

Education

PhD or MSc in quantitative field

Job 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 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.

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 (10:00-17:00) - solving a real modelling problem using near-production-level data

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