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

Apply Now

Senior Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation
City of London
2 days ago
Create job alert

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.

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer (GenAI Algos)

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.