Machine Learning Engineer
June 22
🏢 In-office - London
Description
• Work as a machine learning engineer in the Product team which is composed of software engineers and scientists • Your focus will be on feature engineering, machine learning, and building causal algorithms for time series and tabular data using Python, Cython, Numpy, Torch, etc.
Requirements
• Strong academic record (Msc, Meng, Ph.D. or PostDoc preferred) • Very advanced quantitative skills in machine learning/statistics/mathematics or similar fields • Development experience in at least one scripting language - preferably Python, otherwise a good familiarity with Python is required • Ability to translate advanced machine learning algorithms into code - Python • An in-depth understanding of computer architecture is preferable, e.g. C, C++, Cython • Knowledge of the software development life cycle is a plus (version control, tooling, testing, etc.) • Highly capable, self-motivated, collaborative, and personable • Ability to demonstrate integrity and drive • Naturally curious, creative, and effective problem solver with the ability to come up with ideas to tackle problems on the cutting edge • An excellent written and verbal communicator with a high level of business acumen • Ability to effectively work independently in a fast-moving environment
Benefits
• Access to mental health support through Spill • Competitive salary • 25 days of paid holiday, plus bank holidays • Share options • Pension scheme • Happy hours and team outings • Referral bonus program • Cycle to work scheme • Friendly tech purchases • Office snacks and drinks
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