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- Tasks: Lead teams of data scientists and ML engineers to deliver impactful climate solutions.
- Company: A mission-driven tech company focused on tackling environmental challenges.
- Benefits: Flexible work environment and the chance to make a real difference.
- Why this job: Join a passionate team dedicated to using tech for climate change solutions.
- Qualifications: Extensive ML experience, strong leadership skills, and a passion for sustainability.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A climate-focused technology company in the UK seeks a Data & ML Engineering Manager to lead cross-functional teams of machine learning engineers and data scientists. The position emphasizes attracting top talent, fostering a collaborative environment, and ensuring high-quality delivery of ML-driven capabilities.
Ideal candidates will have extensive experience in machine learning, strong leadership skills, and a passion for climate solutions. Enjoy a flexible work environment with a mission-driven team committed to tackling environmental challenges.
Engineering Manager, Data & ML for Climate Tech in London employer: Overstory
Contact Detail:
Overstory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, Data & ML for Climate Tech in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the climate tech space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your passion for climate solutions! When you get the chance to chat with potential employers, make sure to highlight your commitment to environmental challenges and how your skills can contribute to their mission.
✨Tip Number 3
Prepare for those interviews by brushing up on your leadership skills. Be ready to discuss how you've successfully led teams in the past, especially in data and machine learning projects. We want to see that you can inspire and guide others!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager, Data & ML for Climate Tech in London
Some tips for your application 🫡
Show Your Passion for Climate Solutions: When writing your application, make sure to highlight your passion for climate tech. We want to see how your values align with our mission to tackle environmental challenges. Share any relevant experiences or projects that showcase your commitment!
Highlight Your Leadership Skills: As an Engineering Manager, strong leadership is key. Use your application to demonstrate your experience in leading cross-functional teams. We love seeing examples of how you've fostered collaboration and driven high-quality delivery in past roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the job description. We appreciate candidates who take the extra step to show they understand what we’re looking for in a Data & ML Engineering Manager.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our mission-driven team!
How to prepare for a job interview at Overstory
✨Know Your Climate Tech
Make sure you understand the company's mission and how they tackle environmental challenges. Research their projects and be ready to discuss how your experience in machine learning can contribute to their goals.
✨Showcase Leadership Skills
Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your ability to foster collaboration and attract top talent, as these are key aspects of the role.
✨Demonstrate Technical Expertise
Brush up on your technical knowledge related to data engineering and machine learning. Be prepared to discuss specific technologies and methodologies you've used, and how they can be applied to climate tech solutions.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, and how they measure success in delivering ML-driven capabilities.
