Lead Software Engineer at Strategic AI Transformation Firm

Job Title

Lead Software Engineer

Salary

Not Disclosed

Company Description

Strategic AI transformation firm partnering with global energy operators and GreenTech startups to accelerate the net-zero transition through production-grade machine learning solutions.

Job Description

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.

Location

London, UK

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.

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.

The ideal candidate

• 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.

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