Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning | AI Engineer

CUR8
London
2 weeks ago
Create job alert

We’re looking to hire our first ML/AI 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:
  • 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.
  • 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:

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

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.

  • You have 4+ years of direct ML or AI experience.
  • You have previously worked on problems around taking unstructured data, structuring it, and then feeding it into models.
  • You have built or fine tuned your own predictive models, and deployed them to production.
  • You have worked with Large Language Models like OpenAI’s GPT models, Gemini, Claude, etc.
  • You are excited about laying the initial foundations of AI/ML at CUR8.
  • You are passionate about impact and startups - you’re a proactive self-starter who is comfortable dealing with a high degree of ambiguity.
  • 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!

  • Join a high-calibre early-stage team with a proven track record
  • 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.
  • Flexible hybrid setup — 2–3 days in Shoreditch office
About the perks:
  • CUR8 is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • 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.
  • 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!).
  • We have our own bright lovely office in Old Street - which you will get to shape alongside us.
  • 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.
  • We offer 4 weeks per year to work from anywhere in the world.
  • A great pension - we contribute 6% (salary sacrifice).

About CUR8

The science is clear - even if we do everything else right on reducing emissions, the world needs to remove5-10 Gigatonnes of CO₂ by 2050. There is no Net Zero without carbon removals.

At CUR8, we’re driven by building the worldwide market for carbon removals. We’re on a missionto facilitate 1Bn tonnes of carbon removed in a single year. Today, we’re doing that through our leading science, procurement, and management platform. Empowering companies and financial institutions across the world with insights, carbon credit portfolios, and software tooling to neutralise their emissions.

Today, for companies around the world, we are their Copilot for Carbon Removal.

About our process:

Our process aims to give all of us the chance to get to know each other, our aspirations, and whether this is an exciting fit. It starts with an initial chat to tell you more about CUR8, what we’re looking for, and understand more about your goals. Next is a skills focused interview, which leads to an ideally in person final stage split over two parts: a working session with team and a 1:1 founder meeting.

Every deal you deliver helps remove carbon from the atmosphere—and our work really matters, every single day. If you’re passionate about reversing climate change, love collaborating with true experts, and want to have real impact—apply now! If you’re not a perfect match but will make CUR8 stronger, we want to hear from you.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Machine Learning | AI Engineer

Senior Machine Learning Engineer – Computer Vision

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Spain)

Senior Machine Learning Engineer (Spain)

Clinical Scientist in Artificial Intelligence | Guy's and St Thomas' NHS Foundation Trust

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.