Lead Machine Learning Engineer (Safety)

📋 Description

• Steering technical strategy, system architecture, and rigorous capability testing for complex ML
• Architecting production-grade, secure ML software, orchestration tools, and scalable cloud
• Establishing company-wide standards and best practices for safe, reliable, and ethical machine
• Collaborating with cross-functional teams and executive stakeholders to translate high-impact
• Advising senior clients and partners as a trusted AI safety and technical authority, articulating
• Mentoring and developing engineering talent, actively elevating team capabilities and nurturing an

🎯 Requirements

• Significant leadership experience designing, deploying, and securing scalable LLM applications
• Exceptional software engineering fundamentals and advanced Python expertise, with a focus on
• Deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures
• Mastery over the full ML lifecycle, with proven expertise operationalising production systems using
• Excelling in fast-paced, high-growth environments, bringing autonomy, strategic ownership, and a
• Communicating persuasively with both technical teams and senior non-technical stakeholders