ML Researcher (Hybrid) — Sports Analytics & Modelling

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

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