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Senior Analyst

JR United Kingdom

City Of London

Remote

GBP 70,000 - 100,000

Full time

2 days ago
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Job summary

A forward-thinking real estate technology firm is seeking a Machine Learning professional. In this remote-first role, you will build ML solutions, process complex datasets, and collaborate with diverse teams. Ideal candidates will have a Master's in a quantitative field and 3+ years of relevant experience, ideally with familiarity in commercial real estate.

Qualifications

  • 3+ years of experience in ML/AI.
  • Master's degree (or higher) in Computer Science, Statistics, or Engineering.
  • Hands-on experience in LLMs and prompt engineering.

Responsibilities

  • Build and deploy ML/AI solutions for commercial real estate.
  • Process and analyze complex CRE datasets.
  • Collaborate with product and engineering teams on ML tasks.

Skills

Python
Machine Learning
Generative AI
Data Processing
Analytical Thinking

Education

Master's degree in a quantitative field

Job description

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Machine Learning Opportunity | Real Estate Technology

We are searching for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business.

What you'll be doing:

Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis.

Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code.

Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle.

What we're looking for:

Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering.

Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development.

Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus.

Location:

This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per month.

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