Graduate Machine Learning Researcher

NLP PEOPLE; United States; Hybrid; USD 81,000 - 128,000; Full time

Benefits offered by this job

10–20% uncapped bonus

10% matched pension contributions

Private healthcare insurance

Long term illness insurance

Gym membership

Choose your own hardware & setup

Job summary

Longshot Systems Ltd is hiring Graduate Machine Learning Researchers for its quantitative modelling team. The role focuses on designing, testing and implementing new ML models in Python to improve predictive power based on historical event data.

You will work in a hybrid setup with a London office on Thursdays and remote other days, enjoying autonomy across the R&D lifecycle. The ideal candidate has a PhD or research Masters in a quantitative field, strong ML/statistics fundamentals, and

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.
• Improve existing state-of-the-art solutions within the R&D process and push to production.
• Work across the full research lifecycle from high-level design to production implementation and learning from experts.

Skills

Python

Machine Learning

Statistics

NLP

Research mindset

Education

PhD or research Masters in a quantitative, technical subject

Tools

Python libraries (pandas, numpy)

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 + interestsTechnical interview (60 mins) – modelling discussion + scenario questionsFull assessment day (10:00–17:00) – 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

Company:

Longshot Systems Ltd

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia, Canada, Machine Learning, NLP