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- Tasks: Lead a mission-driven ML team tackling real-world climate risks and build hybrid ML systems.
- Company: Fast-growing Series A startup focused on climate risk intelligence.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on climate change while leading innovative ML projects.
- Qualifications: Strong ML experience, leadership skills, and exposure to climate or risk domains.
- Other info: Join a dynamic team in a fast-paced environment with visa sponsorship available.
The predicted salary is between 60000 - 84000 £ per year.
Job Description
Do you want to lead a mission-driven ML team tackling real-world climate risks?
Are you excited by the challenge of combining machine learning with physical modelling?
Ready to take a strategic, hands-on leadership role at a fast-growing Series A startup?
We’re working with a climate risk intelligence platform that helps financial institutions, insurers, and asset managers assess the physical risks of climate change at a global scale. Serving some of the worlds largest consultancies and SaaS tech companies, the company recently raised £18M Series A and is growing rapidly to meet demand across regulated industries.
Responsibilities:
- Lead and grow the ML function (2 MLEs today, hiring 2 more)
- Set technical direction and ML roadmap
- Partner with science, product, and engineering leadership
- Build hybrid ML systems that integrate physical climate models (e.g. flooding, wildfires)
- Deploy robust ML solutions into production environments
Requirements:
- Strong experience building and deploying ML models in production (MLE background essential)
- Previous leadership experience
- Exposure to geospatial or EO data, ideally in climate, insurance, or risk domains
- Comfortable in fast-paced, startup environments
- Experience blending ML with physics/simulation models a strong plus
Other Details:
- Location: Hybrid – 3 days/week in Central London office
- Visa Sponsorship: Available
Please apply if interested.
Lead Machine Learning Engineer - Climate Modelling employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer - Climate Modelling
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to climate modelling. We want to see your hands-on experience and how you’ve tackled real-world problems – it’ll make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. We recommend practising with friends or using mock interview platforms. Being able to articulate your vision for leading an ML team will definitely impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Machine Learning Engineer - Climate Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and deploying ML models, especially in production. We want to see how your skills align with the role of Lead Machine Learning Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for climate modelling and how you can lead our ML team. We love seeing candidates who can connect their personal mission with our goals, so let your enthusiasm show!
Showcase Leadership Experience: Since this role involves leading a team, make sure to highlight any previous leadership roles you've had. We’re looking for someone who can inspire and grow our ML function, so share examples of how you've successfully led teams in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our mission-driven team!
How to prepare for a job interview at Harnham
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with building and deploying machine learning models in production. Be ready to share specific examples of challenges you've faced and how you overcame them, especially in the context of climate modelling.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare to talk about your previous leadership experiences. Think of instances where you successfully guided a team through a project or helped someone grow in their role. Highlight your ability to set technical direction and inspire others.
✨Understand the Climate Context
Familiarise yourself with the current climate risks and how they impact financial institutions and insurers. Being able to discuss the intersection of machine learning and physical climate models will show that you're not just technically skilled but also passionate about the mission.
✨Prepare for a Fast-Paced Environment
This is a startup, so be ready to demonstrate your adaptability and comfort in a dynamic setting. Share examples of how you've thrived in fast-paced environments before, and be prepared to discuss how you would approach challenges in such a setting.
