Senior/Principal Product Manager - MLOps

📋 Description

• 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
• Translate customer needs into clear product requirements, APIs, workflows, and priorities.
• Partner with engineering on GPU orchestration, Kubernetes, scheduling, storage, networking, and
• Work with ML engineers, researchers, and platform teams to improve developer experience
• Drive prioritisation, delivery, launch, adoption, and continuous iteration.

🎯 Requirements

• Experience owning technical products, cloud platforms, MLOps products, developer platforms, or AI
• Strong understanding of ML engineering and model lifecycle workflows.
• Strong technical fluency across ML infrastructure (GPU compute, distributed training, inference
• Familiarity with tools such as PyTorch, Ray, Slurm, MLflow, Langchain, Hugging Face, vLLM, Triton
• Able to balance performance, cost, usability, flexibility, and reliability.
• Strong prioritisation, communication, and stakeholder management skills.

🎁 Benefits

• 25 days of annual leave
• A culture that emphasises results over hierarchy, process & ego
• Open communication, regular feedback
• Learning Time: dedicated time to focus on new skills, projects or interests
• Health & Wellbeing: private medical insurance via Bupa
• Cycle to Work Scheme