Radiant
Senior/Principal Product Manager - MLOps
Salary not disclosedOnsite
- London
- Full time
- 1w ago
About the role
As a Senior/Principal Product Manager for MLOps, you will own the strategy, roadmap, and delivery of Radiant’s machine learning platform and suite of AI/ML cloud services. You will work across GPU compute, training, inference, orchestration, and developer tooling, partnering with engineering and infrastructure teams to simplify the building, training, and deployment of ML workloads on Radiant’s platform.
Responsibilities
- Own the strategy, roadmap, and delivery of Radiant’s MLOps and ML platform services.
- Define products across the ML lifecycle, including training, fine-tuning, model management, deployment, inference, and monitoring.
- Translate customer needs into clear product requirements, APIs, workflows, and priorities.
- Partner with engineering on GPU orchestration, Kubernetes, scheduling, storage, networking, and platform services.
- Work with ML engineers, researchers, and platform teams to improve developer experience, automation, and self-service.
- Drive prioritisation, delivery, launch, adoption, and continuous iteration.
- Define success metrics across performance, utilisation, reliability, adoption, and developer productivity.
- Evaluate build vs. buy vs. partner decisions across the MLOps and AI infrastructure ecosystem.
Required skills
- MLOps
- AI infrastructure
- Cloud platforms
- GPU compute
- Kubernetes
- Distributed systems
- API design
- Product strategy
Nice to have
- PyTorch
- Ray
- Slurm
- MLflow
- Langchain
- Hugging Face
- vLLM
- Triton
Qualifications
- Experience owning technical products, cloud platforms, MLOps products, developer platforms, or AI infrastructure
Benefits
- 25 days of annual leave
- Private medical insurance
- Cycle to Work Scheme
- Gympass subscription
- Company shares program
- Enhanced parental pay & leave
- Dedicated learning time
About the Company
Radiant is an AI-native infrastructure company established by Brookfield, a global alternative asset manager. The company designs and operates AI infrastructure platforms engineered for sovereignty, performance, and scale.