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Machine Learning Researcher

Machine Learning Researcher

Harnham - Data & Analytics Recruitment

Posted 10 days ago, valid for 24 days

London, Greater London EC1R 0WX

£50,000 - £60,000 per annum

Full Time

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Sonic Summary

The company is seeking a Machine Learning Researcher to join their growing team in London, focusing on sports betting analytics and trading.
The role offers a competitive salary ranging from £100,000 to £125,000, along with a performance-based bonus and benefits package.
Candidates should have several years of commercial experience in machine learning and AI, preferably with a PhD in a relevant field such as Maths, Statistics, or Computer Science.
The position involves collaborating with C-level executives to design and implement advanced machine learning models using Python and optimizing existing models.
The role allows for hybrid working, combining office presence in London with remote work opportunities.

Machine Learning ResearcherLondon - hybrid£100,000-£125,000This company are building cutting-edge platforms for sports betting analytics and trading and they're growing out their Machine Learning Team. This is a great opportunity to work on high-impact projects that directly influence the company's success.THE ROLEAs a Machine Learning Researcher for the business you will:* Collaborate closely with C-level to design, test and implement advanced machine learning models using Python* Focus on optimisation of the existing state-of-the-art models* Deploy models into production on AWS and DatabricksSKILLS AND EXPERIENCE* Preference for PhD in a relevant field - Maths/Statistics/Computer Science etc* Several years of commercial experience in machine learning and AI * Experience in Quantitative Research / trading * Experience optimising existing ML models* Good communication skills* Tech: Python, SQL, Cloud-techSALARY AND BENEFITS* Basic salary £100,000-£125,000* Hybrid working - London office * Performance based Bonus and Benefits package

HOW TO APPLYPlease register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page

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