Machine Learning Engineer

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

Job summary

A leading consulting firm in real estate technology is seeking a Machine Learning Engineer to develop AI solutions. You will design and implement generative AI applications, utilizing large language models while collaborating with cross-functional teams. The ideal candidate has 2-4 years of relevant experience and a degree in a quantitative field. This role offers an innovative environment where your contributions will shape real estate technology.

Qualifications

• 2-4 years' experience in applied machine learning and generative AI.
• Strong Python programming skills with core ML libraries experience.
• Proven ability to design, test, and deploy machine learning solutions.

Responsibilities

• Design, develop, and implement generative AI and machine learning solutions.
• Apply large language models to analyze financial documents.
• Collaborate with product and engineering teams for solution delivery.

Skills

Applied Machine Learning

Generative AI

Python Programming

Data Processing

Feature Engineering

Education

Degree in Computer Science, Statistics, Machine Learning, Engineering, or 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.