Lead ML Product Engineer

📋 Description

• Build and prototype ML platform features, workflows, SDKs, APIs, and developer tooling.
• Work closely with Product to turn customer needs into working technical solutions and product
• Develop reference implementations across training, fine-tuning, inference, model serving, and
• Integrate ML frameworks and tools with Radiant’s GPU, Kubernetes, storage, networking, and platform
• Work directly with customers and internal teams to identify friction and improve developer
• Evaluate emerging ML infrastructure technologies and rapidly test their suitability for the

🎯 Requirements

• Strong engineering experience, ideally in ML infrastructure, developer tooling, cloud platforms, or
• Strong understanding of ML workloads: training, fine-tuning, inference, model serving.
• Strong understanding of infrastructure: GPUs, Kubernetes, containers, storage, networking.
• Strong understanding of developer tooling: APIs, SDKs, CLIs, notebooks.
• Strong understanding of distributed systems: scheduling, queues, retries, failures, scaling.
• Familiarity with technologies such as Ray, Slurm, MLflow, Hugging Face, vLLM, Triton, LangChain, or

🎁 Benefits

• 25 days of annual leave
• A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the
• Open communication, regular feedback: we value smooth collaboration, direct and actionable
• Learning Time: we all have dedicated learning time to focus on new skills, projects or interests
• Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical
• Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling