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.
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.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Faculty
Role overview
London, United KingdomGrowth (VC-backed)
Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.
Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.
Backed by Apax Digital Fund, LocalGlobe, GMG Ventures, GMG Ventures LP, Jaan Tallinn, Mercuri.
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 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 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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Faculty wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.