We’re looking to hire our first Founding ML engineer to help shape and lay the foundations of ML/AI at CUR8. From a team perspective, you will be working closely with our science and engineering teams to help us predict delivery risk of carbon removal credits, and surface these to our B2B customers.

You’ll be responsible for:

1. Working with our science team to build new risk models, and improve existing ones. As well as identifying new sources for data that feeds these models.
2. Working with the engineering team to surface the outputs of these models via APIs.

Product wise, you’ll work on solving multiple product problems and some big challenges with the team - including:

1. Simplifying the complex world of Carbon Removals.
2. Solving first of a kind data problems.
3. Collaborating with the rest of the CUR8 team to create groundbreaking data products.

Our Tech stack - We keep things modern and lean:

1. Front-end: TypeScript, React, Next.js, Tailwind CSS
2. Back-end: Go
3. Database: PostgreSQL
4. Infra: Google Cloud Platform
5. Auth: Clerk
6. AI: Claude, Gemini, GPT — integrated for LLM-powered features

For this role, we expect we will need to add Python to our tech stack, so there is no requirement in having to know Typescript or Go.

Requirements

Please treat the below as simply a starting point. If you don’t exactly meet all of the below points but think you’d be really impactful in our team, we want to hear from you.

1. You have 4+ years of direct ML or AI experience.
2. You have previously worked on problems around taking unstructured data, structuring it, and then feeding it into models.
3. Previous experience of assessing risk desirable
4. You have built or fine tuned your own predictive models, and deployed them to production.
5. You have worked with Large Language Models like OpenAI’s GPT models, Gemini, Claude, etc.
6. Experience using Python
7. You are excited about laying the initial foundations of AI/ML at CUR8.
8. You are passionate about impact and startups - you’re a proactive self-starter who is comfortable dealing with a high degree of ambiguity.
9. You have an understanding of key climate change/sustainability themes; experience in climate is valuable but not essential. We need you to care about the problem space though!

Why Join?

To help us to improve, and build totally new models at the forefront of climate science!

1. Join a high-calibre early-stage team with a proven track record
2. This is an exciting opportunity to join as our first ML/AI engineer, working with our exceptionally talented team. You will work with our product, climate science, and engineering teams to build insights and prediction features.
3. Flexible hybrid setup — 2–3 days in Shoreditch office

Benefits

About the perks:

1. CUR8 is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
2. With a little bit of luck, we’ll save the planet (pretty good, isn’t it). But seriously - every time we transact, the world gets a little better.
3. We’ll treat you with dignity; across competitive compensation, meaningful equity, generous time off, and a culture that’s inclusive for parents and respectful of boundaries (no late night emails!).
4. We have our own bright lovely office in Old Street - which you will get to shape alongside us.
5. Time and money to learn: every member of the team receives a £1,000 personal development budget to spend on up-skilling themselves and supporting the team.
6. We offer 4 weeks per year to work from anywhere in the world.
7. A great pension - we contribute 6% (salary sacrifice).

Please note this role is London-based and not remote and we are not able to offer visa sponsorship