Graduate Machine Learning Researcher

Longshot Systems Ltd; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A tech company focused on sports analytics is seeking Graduate Machine Learning Researchers to enhance predictive models. Candidates should have a strong mathematical foundation, experience in Python, and a capacity for innovative problem-solving. The role involves designing and testing machine learning models while participating in the full R&D process. This company offers a hybrid working structure, including remote work, flexible hours, and a range of benefits such as healthcare and a bonus scheme.

Benefits

Participation in uncapped bonus scheme

10% matched pension contributions

Private healthcare insurance

Long term illness insurance

Gym membership

Choose your own hardware & setup

Qualifications

• Strong mathematical understanding of Machine Learning fundamentals is essential.
• Experience modelling tabular data in Python.
• High level of autonomy to research new methodologies.

Responsibilities

• Design, test, and implement new machine learning models in Python.
• Continuously improve existing models for predictive power.
• Participate in all aspects of the R&D process.

Skills

Creativity in problem-solving

Autonomy in research

Mathematical understanding

Experience with Python

Education

PhD or research Masters in a quantitative, technical subject

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 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

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