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Graduate Machine Learning Researcher at Longshot Systems | London

Longshot Systems LtdLondon, England, United Kingdom
Hybrid Full-time

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Experience Level

Entry Level

Qualifications

A PhD or research Master’s degree in a quantitative, technical discipline (e.g., Mathematics, Physics, Machine Learning) from a reputable university Proficiency in modeling tabular data using Python

About the job

Join Longshot Systems, where we are pioneering cutting-edge platforms for sports betting analytics and trading.

We are looking for enthusiastic Graduate Machine Learning Researchers to become integral members of our quantitative modeling team. This team is dedicated to enhancing the predictive capabilities of our models using historical event data, as the excellence of our models is crucial to our company’s success.

In this role, you will be responsible for designing, testing, and implementing innovative machine learning models in Python while continuously refining our existing top-tier solutions. As a small, focused company, Longshot offers you the opportunity to engage deeply in all facets of the R&D process, from high-level design to production implementation, while also learning from experienced industry professionals.

The ideal candidate will possess a creative mindset and thrive in generating novel approaches to problem-solving. You will have the autonomy to explore and research the most suitable methods for the challenges presented. A solid mathematical foundation in Machine Learning principles and core statistics is essential, though prior knowledge of sports betting is not a requirement.

We embrace a hybrid working model, with in-office work on Thursdays at our London (Farringdon) location and remote work for the remainder of the week. Our regular working hours are from 10 AM to 6 PM UK time, Monday to Friday, with a strong emphasis on flexible working to empower our team to achieve their objectives.

Our interview process consists of the following steps:

  • Introductory call (30 mins) - Discuss your background and interests
  • Technical interview (60 mins) - Engage in modeling discussions and scenario-based questions
  • Full assessment day (9:30 AM–5 PM) - Tackle a real modeling challenge utilizing near-production data

Qualifications

  • A PhD or research Master’s degree in a quantitative, technical discipline (e.g., Mathematics, Physics, Machine Learning) from a reputable university
  • Proficiency in modeling tabular data using Python

Benefits

  • Participation in an uncapped company bonus scheme, typically ranging from 10-20% of salary based on experience
  • 10% matched pension contributions
  • Private healthcare coverage
  • Long-term illness insurance
  • Gym membership
  • Choice of hardware and setup for your development environment

About Longshot Systems Ltd

At Longshot Systems, we are at the forefront of developing advanced platforms for sports betting analytics and trading, committed to innovation and excellence in our field.

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