Machine Learning Engineer

About the Company
You'll be joining a global leader in commercial real estate services and investment management. Known for combining deep market expertise with innovative technology, the business is committed to modernising how investment decisions are made. You'll be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology.
Role Responsibilities
Design, develop, and implement generative AI and machine learning solutions for commercial real estate.
Apply large language models to analyse financial documents and market datasets.
Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance.
Build production-ready Python code and integrate models into user-facing applications.
Monitor and refine model performance post-deployment, making improvements based on feedback.
Collaborate with product and engineering teams to deliver solutions aligned with business goals.
Role Requirements
2-4 years' experience in applied machine learning and generative AI, including work with large language models.
Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods).
Proven ability to design, test, and deploy production-ready machine learning solutions.
Hands-on experience in data processing and feature engineering for complex datasets.
Solid understanding of machine learning algorithms and statistical modelling techniques.
A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field.

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