Platform Release Engineer (MLOps, Azure/Kubernetes)

Wayve; City Of London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Equity

Relocation support

Visa sponsorship

Hybrid working

Learning budget

Health insurance

Job summary

Wayve is hiring for a senior role in our Model Integration and Release Team in London. You will design and deploy Python services and microservices that orchestrate the end-to-end model-release workflow, with Kubernetes and Azure for production systems.

You’ll collaborate across MLOps, Evaluation, Simulation and Release Management to ship reliable, observable platforms while leveraging AI coding agents to accelerate delivery. Hybrid office/remote work available.

Qualifications

• Strong software or platform engineering experience building reliable production services.
• Hands-on experience with Kubernetes, cloud-native infra and production service operations; Azure experience would be an advantage.
• Strong system-design skills across distributed workflows, APIs, orchestration and multi-system integrations.
• Established observability using meaningful metrics, logging, tracing, monitoring and alerting.

Responsibilities

• Design and build Python services and microservices that orchestrate the end-to-end model-release workflow.
• Integrate feature candidates into release branches and automate readiness checks before training begins.
• Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps.
• Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status.
• Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting.
• Use AI coding agents to investigate issues, automate manual work and accelerate delivery.

Job description

Wayve is hiring for a senior role in our Model Integration and Release Team in London. You will design and deploy Python services and microservices that orchestrate the end-to-end model-release workflow, with Kubernetes and Azure for production systems.

You’ll collaborate across MLOps, Evaluation, Simulation and Release Management to ship reliable, observable platforms while leveraging AI coding agents to accelerate delivery. Hybrid office/remote work available.