Graduate Machine Learning Researcher
At a glance
Mid-level AI Research role at Longshot Systems Ltd. London · full-time · no salary stated · we estimate £31,000–£445,000 across the United Kingdom.
Longshot Systems Ltd has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and evaluate machine learning models in Python to improve predictions from historical event data
- Refine existing models and put new approaches into production
- Choose research methods for modelling problems, then carry ideas from initial design through implementation
- Find creative ways to solve modelling challenges and improve current methods
What you bring
- A PhD or research master's in a quantitative or technical subject, such as mathematics, physics or machine learning
- Hands-on experience modelling tabular data with Python
- Strong grounding in machine learning principles and core statistics
Who this fits
This role suits a graduate researcher who wants broad involvement in R&D, from designing methods to production work, with autonomy to explore approaches and learn from experienced researchers. You’ll work in London on Thursdays and remotely on other days, with typical hours of 10 am to 6 pm UK time and flexibility to manage your schedule.
From the employer
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