Machine Learning Engineer

Cobalt Consulting (UK) Ltd; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global real estate services firm is seeking a skilled professional to design and implement AI and machine learning solutions. You will analyze financial documents using large language models and collaborate with teams to enhance real estate technology. Ideal candidates will have strong Python skills, experience in generative AI, and a degree in a quantitative field.

Qualifications

• 2-4 years' experience in applied machine learning and generative AI.
• Strong Python programming skills.
• Proven ability to design and deploy production-ready solutions.

Responsibilities

• Design, develop, and implement generative AI and machine learning solutions.
• Apply large language models to financial documents and datasets.
• Collaborate with product teams to deliver aligned solutions.

Skills

Applied machine learning

Generative AI

Python programming

Data processing

Feature engineering

Education

Degree in Computer Science, Statistics, Machine Learning, Engineering, Physics

Tools

Numpy

Pandas

Scikit-learn

Job description

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.
• A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field.