ML Platform Engineer: Build Scalable AI Infrastructure

Radiant

Greater London

On-site

GBP 90,000 - 130,000

Full time

7 days ago

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Benefits offered by this job

25 days annual leave

Cycle to Work Scheme

Gympass subscription

Private health insurance

Employee share scheme

Enhanced parental leave

Dedicated learning time

Open communication culture

Job summary

Radiant in London designs and operates AI-native infrastructure powering GPU workloads, multi-tenant control planes, and scalable AI systems for demanding environments. As an ML Product Engineer, you will turn Radiant's ML platform capabilities into usable, high-quality customer experiences across training, inference, APIs, SDKs, and developer tooling.

You will prototype and ship ML features, collaborate with product and engineering teams, and help define technical requirements and best

Qualifications

Strong engineering background with ML infrastructure or developer tooling experience.
Experience integrating ML frameworks and cloud services into product platforms.
Excellent communication and cross-functional collaboration skills.

Responsibilities

Build and prototype ML platform features, workflows, APIs, and tooling.
Collaborate with Product to translate customer needs into technical solutions.
Develop reference implementations across training, inference, and orchestration.
Integrate ML frameworks with Radiant platform services (GPU, Kubernetes, storage).
Engage with customers and internal teams to improve developer experience.