Graduate ML Researcher β€” Hybrid & High-Impact Role

Graduate ML Researcher β€” Hybrid & High-Impact Role

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement cutting-edge machine learning models in Python.
  • Company: Join Longshot Systems, a leader in quantitative modelling in London.
  • Benefits: Enjoy hybrid work, autonomy, and a supportive team environment.
  • Other info: Great opportunity for career growth in a dynamic, focused team.
  • Why this job: Make a real impact with innovative ML solutions while developing your skills.
  • Qualifications: Strong foundation in machine learning and statistics required.

The predicted salary is between 63000 - 77000 Β£ per year.

Longshot Systems is hiring Graduate Machine Learning Researchers for our quantitative modelling team in London.

You will design, test, and implement new machine learning models in Python while improving existing state-of-the-art solutions.

The role offers hybrid work, with Thursdays in our London office and remote the rest of the week.

You will be part of a small, focused team with high autonomy, using a strong mathematical foundation in ML and statistics.

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Graduate ML Researcher β€” Hybrid & High-Impact Role employer: Longshot Systems

Longshot Systems is an exceptional employer for those passionate about machine learning and sports analytics, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from opportunities for professional growth through hands-on experience with cutting-edge technologies like Docker, Kubernetes, and cloud platforms, all while contributing to impactful projects in the fast-paced world of sports betting. Located in a vibrant tech hub, the company provides a stimulating environment where creativity and technical expertise thrive.

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Contact Details:

Longshot Systems Recruitment Team

We think you need these skills to ace Graduate ML Researcher β€” Hybrid & High-Impact Role

Machine Learning
Python
Quantitative Modelling
Statistical Analysis
Model Design
Model Testing
Model Implementation