Senior/Principal Product Manager - MLOps

The role

You will own the strategy, roadmap, and delivery of Radiant's machine learning platform and AI/ML cloud services. You will work across GPU compute, training, inference, orchestration, model lifecycle, developer tooling, observability, and platform integrations.

What you will do

• 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 qualifications

• Experience owning technical products, cloud platforms, MLOps products, developer platforms, or AI infrastructure.
• Strong understanding of ML engineering and model lifecycle workflows.
• Strong technical fluency across ML infrastructure: GPU compute, distributed training, inference, model serving
• Strong technical fluency across Orchestration: Kubernetes, containers, schedulers, distributed workloads
• Strong technical fluency across ML platforms: experiment tracking, model registries, pipelines, lifecycle management
• Strong technical fluency across Developer experience: APIs, SDKs, CLIs, notebooks
• Strong technical fluency across Infrastructure: storage, networking, IAM, observability, infrastructure-as-code
• Able to balance performance, cost, usability, flexibility, and reliability.
• Strong prioritisation, communication, and stakeholder management skills.
• Comfortable taking ambiguous problems from discovery through delivery.

Nice to have

• Familiarity with tools such as PyTorch, Ray, Slurm, MLflow, Langchain, Hugging Face, vLLM, Triton, or similar.

Benefits

• 25 days of annual leave
• Learning Time for new skills, projects or interests
• Private medical insurance via Bupa
• Cycle to Work Scheme
• Gympass subscription to a variety of gyms and wellbeing apps
• Participation in the company shares program
• Enhanced parental pay & leave

About the company

Radiant designs and operates AI-native infrastructure platforms for sovereignty, performance, and scale. It was established by Brookfield, a global alternative asset manager.