ML Platform Engineering Manager – AI Infrastructure
📍 Central London (3 days on-site) | 🕒 Full-time
We’re an AI-first technology company building tools that help people and brands create beautiful visual content at scale. Our products are powered by cutting-edge machine learning and used by millions worldwide—and we’re just getting started.
We’re now looking for an ML Platform Engineering Manager to lead the team responsible for the infrastructure behind our AI models. This is a hands-on leadership role at the intersection of engineering, research, and product—perfect for someone who loves solving complex systems problems and bringing AI from prototype to production.
What You’ll Do
* Lead and mentor a team of backend engineers focused on ML and AI infrastructure
* Partner closely with ML researchers to create, model prototypes
* Design and build scalable, reliable systems to serve AI models in real time
* Own architectural decisions across model serving, performance, and reliability
* Foster a strong engineering culture through coaching, feedback, and support
* Ensure our platforms are intuitive for developers and performant for users
What We’re Looking For
* 6+ years of backend or platform engineering experience
* 1–3 years of people management or technical leadership experience
* Strong background in designing and scaling distributed systems
* Solid experience with cloud platforms, APIs, and observability/monitoring
* Proven ability to lead projects from concept through production
* Excellent communication and collaboration skills
* Exposure to (or strong interest in) ML model serving, GPUs, or AI infrastructure is a plus
* A degree in Computer Science or a related field is helpful, but not essential
Why Join Us?
* Work at the forefront of applied AI
* Build products used by millions around the world
* Join a smart, friendly, and fast-moving team
* Hybrid working: 3 days a week in our Central London office
* Collaborate with talented teammates across multiple countries