Machine Learning Researcher Trading Up to £175k base bonus 4 days remote per week Our client, a small but established tech-focused company specializing in high-frequency trading and machine learning has recent acquired a new business line, that advanced codebase and datasets, forming a new team to enhance models for an additional market. They are looking for an ML Researcher to optimise and improve classification models for predicting outcomes. This role focuses on refining existing models, similar to hedge fund quantitative research, with one high-impact strategy to develop (and without the usual gripes associated with hedge funds and trading). Key Responsibilities Enhance ML models for classification prediction Optimize models to improve performance Perform research and implement new strategies Work with sophisticated datasets and translate findings into Python code (with help from engineering teams) Required Skills ML Expertise: Experience with classification models, including neural networks Python: Mid-level skills, with libraries like TensorFlow Quantitative Approach: Strong problem-solving skills using statistical methods Focus: Ability to work on a single large-scale project Preferred Skills Interest in trading and / or betting Proficiency working on / in Kaggle-style optimization competitions - Grandmasters come one come all Practical knowledge of neural networks Open to Senior candidates with a wealth of expertise, but also high calibre junior candidates, with exceptional academics and relevant personal or academic experience. Strong ML skills or experienced professionals who can lead. Enthusiasm for model optimization and creative data solutions is key. Apply to marcusdurlstonpartners.com to be considered. Thanks.