ML Engineer
July 3
🏢 In-office - London
Description
• Design and implement state-of-the-art machine learning models to predict human decision making. • Propose areas of research to improve our ability to predict human behaviour, and the performance of our models and systems. • Use focus group conversations, surveys and other contextual data in order to fine-tune language models to achieve better representations of target populations. • Develop evaluation methodologies to de-blackbox LLM decision pathways for the underlying dataset • Successfully implement machine learning techniques to interpret and analyse data; iterate on feedback to improve the value of our models in customer use cases.
Requirements
• Experience of implementing and deploying machine learning research ideas within industry. • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. • Strong statistical modelling experience with examples of using these in real-world applications. • Proficiency in Python, with a focus on statistical, ML, data analysis and visualisation libraries: pandas, numpy, statsmodels, scikit-learn, pytorch. • Deep Learning knowledge with examples of completing projects in this area. • Keen interest in using LLMs.
Benefits
• Stock Option Plan • Pension • Health Care Plan (Medical, Dental & Vision) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Training & Development
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