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- Tasks: Lead teams of ML engineers and data scientists to deliver impactful climate solutions.
- Company: A mission-driven climate tech company in the UK.
- Benefits: Flexible work environment and a collaborative team culture.
- Why this job: Make a real difference in tackling environmental challenges with cutting-edge technology.
- Qualifications: Extensive ML experience, strong leadership skills, and a passion for climate solutions.
- Other info: Join a dynamic team dedicated to innovation and sustainability.
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 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
✨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 and ML knowledge. Be ready to discuss how you've led teams in the past and delivered high-quality projects, especially in data and machine learning.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for passionate individuals like you. It’s a great way to get noticed and show us you’re serious about joining our mission-driven team.
We think you need these skills to ace Engineering Manager, Data & ML for Climate Tech
Some tips for your application 🫡
Show Your Passion for Climate Tech: When writing your application, let your enthusiasm for climate solutions shine through. We want to see how your experience in data and ML aligns with our mission to tackle environmental challenges.
Highlight Leadership Experience: As an Engineering Manager, your leadership skills are crucial. Make sure to showcase any past experiences where you've led teams or projects, especially in a collaborative environment. We love seeing how you can inspire others!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. We appreciate candidates who take the extra step to connect their skills with what we’re looking for.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Overstory
✨Know Your Climate Tech
Make sure you understand the company's mission and how they leverage data and machine learning to tackle climate challenges. Research recent projects or innovations they've implemented, and be ready to discuss how your experience aligns with their goals.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully managed teams in the past, focusing on collaboration, conflict resolution, and talent attraction.
✨Prepare for Technical Questions
Brush up on your machine learning knowledge and be ready to dive deep into technical discussions. Expect questions about algorithms, data processing, and project management methodologies. Practising coding challenges or case studies can also help you feel more confident.
✨Emphasise a Collaborative Mindset
This role is all about fostering a collaborative environment. Be prepared to discuss how you encourage teamwork and innovation within your teams. Share specific examples of how you've built a positive culture that drives high-quality delivery of ML-driven capabilities.
