Lead Software Engineer (AI)

Location: Hybrid in London, United Kingdom

Company

Build and deploy responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence, combining technical, product, and delivery expertise.

What you will do

• Drive technical strategy, system architecture, and capability testing for complex ML systems and Frontier AI models.
• Architect secure, production-grade ML software, orchestration tools, and scalable cloud infrastructure.
• Establish standards for safe, reliable, ethical, and scalable machine learning deployment.
• Translate high-impact client needs into resilient AI solutions with cross-functional teams and executive stakeholders.
• Advise senior clients and partners on AI safety and technical strategy, while mentoring engineering talent.
• Partner with Frontier Labs on safety evaluations, multi-agent harness tooling, and AI governance frameworks.

Requirements

• Significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes.
• Exceptional software engineering fundamentals and advanced Python expertise, focused on resilient, enterprise-ready systems.
• Deep hands-on experience with AWS, Azure, or GCP; scalable cloud architectures; Docker; Kubernetes; agent sandboxing; and end-to-end cybersecurity.
• Mastery of the full ML lifecycle, with proven experience operationalising production systems using PyTorch, TensorFlow, or similar frameworks.
• Experience working autonomously and taking strategic ownership in fast-paced, high-growth environments, with a track record of guiding technical decisions.
• Ability to communicate persuasively with technical teams and senior non-technical stakeholders and translate complex technical risks into clear strategic direction.

Culture & Benefits

• Inclusive, diverse, and high-performing culture focused on intellectual curiosity and measurable positive impact.
• Applications are encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
• Part-time hours are open for discussion.
• AI tools may be used for research and interview preparation, but not to generate answers during live interviews.
• Interviews use an AI note-taker, with the option to opt out; every application is reviewed by a human.

Hiring process

• Talent Team screen: 30 minutes.
• Hiring Manager introduction: 30 minutes; pair programming interview: 90 minutes.
• System design interview: 90 minutes; commercial and leadership interview: 60 minutes.