You will spearhead the technical delivery of high-stakes AI projects within the Energy and Environment sector. Balancing deep technical expertise in Python and cloud architecture with leadership, you will design scalable backend APIs and robust ML systems. This is a critical role for an IC who can mentor teams and define technical roadmaps for sustainable infrastructure.
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Lead Software Engineer at Faculty
Are you ready to spearhead the clean energy revolution using world-class AI? This premier AI transformation firm is looking for a Lead Software Engineer to design production-grade ML systems for global energy operators. You'll drive technical strategy, mentor rising talent, and build scalable backend infrastructure that directly impacts the transition to net-zero. If you're an expert in Python and cloud architecture with an entrepreneurial mindset, this is your chance to lead high-stakes projects at the intersection of sustainability and cutting-edge machine learning.
About this role
Role overview
About the company
London, United KingdomGrowth (VC-backed)
Strategic AI transformation firm partnering with global energy operators and GreenTech startups to accelerate the net-zero transition through production-grade machine learning solutions.
Backed by Apax Digital Fund, LocalGlobe, GMG Ventures, GMG Ventures LP, Jaan Tallinn, Mercuri.
What you'll do
What you will do
- Design and develop production-grade, scalable backend APIs and ML systems across major cloud providers like AWS, GCP, or Azure.
- Act as a technical lead for high-risk software projects, taking full ownership of architectural decisions and delivery outcomes for global energy clients.
- Mentor multiple engineers and managers while contributing to shared organizational libraries and improved engineering methodologies across the company.
Who you are
Who this is a fit for
- Expert-level proficiency in Python and extensive experience building and deploying scalable backend SaaS products and infrastructure.
- Proven leadership experience managing technical teams and guiding senior stakeholders through complex architectural rationales and AI strategies.
- Background or strong interest in the Energy sector, with a solid understanding of how to turn innovative ML concepts into practical, measurable outcomes.
Why this role
Why this role is remarkable
- Lead high-impact projects that directly accelerate the clean energy revolution and global transition to net-zero emissions.
- Influence the technical direction of a premier AI organization, working with complex, real-world datasets from national infrastructure providers.
- Exceptional growth potential to mentor other managers and shape the future of a high-performance engineering team while remaining a technical authority.
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