Model Release Engineer

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

We’re looking for a Model Release Engineer to build the platform that moves Wayve’s AI models from promising new features through training, simulation, on-road testing and release. You’ll automate a complex process spanning multiple systems and teams, creating a scalable, reliable and transparent path to production. Working across the full model-release lifecycle, you’ll directly improve how quickly and confidently we deploy new AI Driver models.

• Design and build services and workflows that automate the end-to-end model-release process, from feature integration through training, evaluation, approval and promotion.

• Integrate the platform with systems owned by Model Engineering, MLOps, Simulation, Measurement, On-Road Testing, Operations and Release Management.

• Work closely with teams across Wayve to understand their requirements, agree interfaces and resolve technical or delivery conflicts across shared workflows.

• Improve the reliability, scalability and observability of the platform through effective monitoring, alerting and operational tooling.

• Provide clear visibility of model candidates, their progress, evaluation results, approvals and release status.

• Use AI-assisted development and agentic workflows to automate manual engineering tasks and accelerate delivery.

In order to set you up for success as a Model Release Engineer at Wayve, we’re looking for the following skills and experience.

Essential

• Strong software engineering experience, including building production services and platforms in Python.

• Experience designing distributed systems, APIs or microservices that connect multiple tools and workflows.

• Proven ability to collaborate across organisational boundaries, align stakeholders, agree technical interfaces and work through conflicting priorities.

• Experience operating cloud-based services using Kubernetes, with a good understanding of reliability, scalability and performance.

• Practical knowledge of observability, monitoring and alerting, including defining meaningful service-health metrics.

• Confidence using AI coding tools and agents to improve engineering productivity and automate repeatable work.

• A pragmatic, ownership-driven approach and the ability to make progress where requirements and processes are still evolving.

Desirable

• Experience with MLOps, machine-learning infrastructure or production model-training and release pipelines.

• Understanding of model evaluation, simulation, experiment orchestration or approval-gated release