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- Tasks: Develop predictive models and tackle unique data challenges in a hands-on role.
- Company: Pioneering ClimateTech startup on a mission to combat climate change.
- Benefits: Competitive salary, equity, personal development budget, and flexible remote work options.
- Why this job: Be the founding ML/AI engineer and shape the future of AI in climate solutions.
- Qualifications: 4+ years of ML/AI experience and a passion for innovative data solutions.
- Other info: Hybrid work setup with excellent career growth opportunities in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
- Build and refine predictive risk models in collaboration with a talented science team.
- Identify new and unconventional data sources to feed into those models.
- Partner with product teams to bring ML-powered insights into real customer-facing products.
For this role, Python will be your main playground — no need to know Go or TypeScript.
- 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.
- Excited about being the first AI/ML hire and shaping the roadmap.
- Be the founding ML/AI hire — set the direction, own the tech, and influence the product.
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.
Machine Learning Engineer - Hybrid employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in the ClimateTech space, especially those working on AI and ML. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or unstructured data. Share it on platforms like GitHub and make sure it’s easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals in tackling climate change. We want to see your passion for the role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step. Don’t forget to tailor your application to highlight your relevant experience in ML and AI!
We think you need these skills to ace Machine Learning Engineer - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your hands-on ML/AI experience and any projects that showcase your ability to work with unstructured data. We want to see how you can bring value to our ClimateTech mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for climate change and how your skills align with our goals. Let us know why you're excited about being the first AI/ML hire and how you envision shaping the future of our product.
Showcase Relevant Projects: Include any relevant projects or experiences that demonstrate your ability to build and refine predictive models. If you've tackled unique data challenges before, we want to hear about them! This is your opportunity to show us what you can do.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to see what you bring to the table!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and how you've applied these in real-world scenarios. This role is all about predictive models, so having concrete examples from your past experience will really help you stand out.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific data challenges you've faced and how you tackled them. The company is looking for someone who can simplify complex data issues, so think of unique examples where you turned unstructured data into actionable insights. This will demonstrate your hands-on experience and creativity.
✨Familiarise Yourself with Their Tech Stack
Even though Python is your main playground, it’s a good idea to get acquainted with the front-end technologies mentioned, like TypeScript and React. Understanding how your work in ML will integrate with the product teams will show that you're not just a techie but also a team player who can collaborate effectively.
✨Express Your Passion for ClimateTech
This startup is on a mission to combat climate change, so make sure to convey your enthusiasm for this cause. Share any relevant projects or experiences that align with their mission. Showing that you care about the impact of your work will resonate well with the interviewers and set you apart from other candidates.