ML Engineering Manager: Grow High-Impact Data Teams

Overstory; United Kingdom; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Autonomous & collaborative work env

Home office stipend

Ongoing education budgets

Mission-driven work

Job summary

Overstory, a climate-tech company, seeks an ML Engineering Manager in the UK to lead several cross‑functional teams of up to 10 ML engineers and data scientists. You will shape technical direction, drive delivery of ML capabilities, and grow engineering talent in a collaborative environment.

You'll mentor teams working with data and satellite imagery, partner with Product and Design, and promote scalable ML practices across domains to solve climate challenges.

Qualifications

• 8+ years in ML/data-driven systems
• Experience leading ML/data-focused teams
• Passion for climate tech and impact

Responsibilities

• Lead cross-functional teams of ML engineers and data scientists
• Drive delivery of ML capabilities across domains
• Grow teams through hiring and mentorship
• Foster inclusive, collaborative culture
• Coach and provide feedback to team members
• Partner with Product Managers to balance short- and long-term goals
• Align technical decisions with future product needs
• Collaborate with other leaders on strategy and people development
• Evolve ML practices to improve collaboration and delivery

Skills

ML leadership

Geospatial data experience

Python ML workflows

Cross-functional leadership

Product-minded

Climate tech passion

Startup experience

Communication skills

Team coaching

Tools

Python

ML frameworks

Job description

Overstory, a climate-tech company, seeks an ML Engineering Manager in the UK to lead several cross‑functional teams of up to 10 ML engineers and data scientists. You will shape technical direction, drive delivery of ML capabilities, and grow engineering talent in a collaborative environment.

You'll mentor teams working with data and satellite imagery, partner with Product and Design, and promote scalable ML practices across domains to solve climate challenges.