Senior Machine Learning Engineer

Founding ML/AI Engineer ClimateTech London (Hybrid)

I'm working with a pioneering ClimateTech startup that's on a mission to make a real dent in the fight against climate change. They're building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint - and now they're hiring their first Founding ML/AI Engineer to lay the foundations of all things AI and ML.

This is a hands-on, high-impact role where you'll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers.

You'll be tackling some genuinely unique data challenges - from simplifying the complex world of carbon removals to solving first-of-a-kind data problems.

What You'll Do

• Build and refine predictive risk models in collaboration with a talented science team.
• Identify new and unconventional data sources to feed into those models.
• Work with engineers to productionize model outputs through APIs.
• Partner with product teams to bring ML-powered insights into real customer-facing products.

Tech Stack

They keep things lean and modern:

• Front-end: TypeScript, React, Next.js, Tailwind CSS
• Back-end: Go
• Infra: Google Cloud Platform
• AI: Claude, Gemini, GPT (integrated for LLM-powered features)

For this role, Python will be your main playground - no need to know Go or TypeScript.

What They're Looking For

• 4+ years of hands-on ML/AI experience.
• Strong background in working with unstructured data and turning it into structured, model-ready form.
• Experience building or fine-tuning predictive models and deploying them to production.
• Familiarity with LLMs (OpenAI, Claude, Gemini, etc).
• Excited about being the first AI/ML hire and shaping the roadmap.
• Passionate about impact, sustainability, and working in a fast-moving early-stage environment.

Why It's a Brilliant Opportunity

• Be the founding ML/AI hire - set the direction, own the tech, and influence the product.
• Join a high-calibre early-stage team with deep technical and domain expertise.
• Work on meaningful, mission-driven problems that have a tangible global impact.
• Hybrid setup - typically 2-3 days a week in their Shoreditch office.
• Competitive salary, equity, 6% pension contribution, £1,000 personal development budget, and 4 weeks per year to work from anywhere in the world.