Senior Machine Learning Engineer

Founding ML/AI Engineer | ClimateTech | London (Hybrid)

Im working with a pioneering ClimateTech startup thats on a mission to make a real dent in the fight against climate change. Theyre building a data and software platform designed to help businesses measure, manage, and mitigate their carbon footprint and now theyre 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 youll collaborate directly with world-class science and engineering teams to develop predictive models that assess risk and surface actionable insights for enterprise customers.

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

What Youll 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 Theyre 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 Its 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 23 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.