ML/AI Engineer – Climate tech | Real Estate

Hey, we’re GreenFlip 👋

We’re a Carbon13 backed and funded climate tech startup flipping the UK housing market green. Our platform helps investors turn ordinary, single-family homes into a new class of comfortable, climate-positive, zero-energy-bill homes. Happy tenants, higher returns and greener planet.

We sit at the crossroads of property, climate and investment and we’re just getting started. 🚀

💪 Purpose

Accelerating the green transition of homes to create a sustainable and comfortable future for people and the planet.

🚀 Mission

We help investors decarbonise 1 million homes a year by empowering them to unlock the value of zero-bill homes.

🌕 Vision

We imagine a world where every home is zero carbon, zero energy bill, and comfortable to live in.

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About the Role

We’re growing fast and looking for an ML/AI Engineer to join our early team. You’ll help us turn messy real-world data, satellite images, floor plans, EPCs, and government datasets, into powerful models that guide retrofit and investment decisions.

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What You’ll Work On

You’ll be part of a cross-functional team building our ML pipeline from the ground up. Projects include:

• 🧠 Training and deploying models for object detection and image classification (e.g., recognising insulation, solar panels, or radiators from property photos).
• 🧾 Document understanding using NLP and computer vision.
• 🔄 Building ETL pipelines to extract, clean, and enrich property data from public sources.
• 📈 Supporting retrofit and investment analysis by building models that predict cost, impact, risk, or savings based on property characteristics.

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You Should Have

We’re looking for someone with solid foundations and hands-on experience. You don’t need to tick every box, but here’s what we value:

Core Skills

• Proven experience in machine learning and deep learning, especially in image recognition or NLP
• Comfortable with Python (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow)
• Strong grasp of data engineering, ETL design, and working with large and messy datasets
• Experience with AWS services (S3, Lambda, SageMaker, ECS, etc.)
• Ability to write production-grade, testable, and maintainable code

Nice to Have

• Experience with geospatial data, remote sensing, or GIS tools
• Knowledge of OCR techniques or document layout analysis
• Interest in climate tech, the built environment, or real estate
• Familiarity with APIs, RESTful services, or building MLOps pipelines

What We Offer

• A chance to work on meaningful problems that fight climate change
• A tight-knit, mission-driven team where your ideas have impact
• Flexibility to shape the tech stack and ML roadmap
• Equity in a high-growth startup
• Remote-first culture with optional coworking and off-sites

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Why Join GreenFlip?

• Join a startup working on one of the biggest climate challenges
• Co-create a new asset class: zero energy bill home portfolios
• Work alongside experienced founders who care about your growth
• Move with purpose and see your work have real-world impact
• Be part of inspiring networks through Carbon13 and The Conduit

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How to Apply

Send the following to **hello@greenflip.homes**

• Your CV or LinkedIn
• 30-60s selfie video on why this role excites you?

You must already have the right or visa to work in the UK.

We’re reviewing applications on a rolling basis every week and we will close this as soon as we find a fit!

If this sounds like your kind of mission, we’d love to hear from you!