Model Training Platform Tech Lead, Wayve

• 2+ years experience in a technical leadership role
• Strong software engineering (Python preferred; Bash, Go, or Java a plus)
• Deep experience with MLOps tools
• Skilled in containerization (Docker), orchestration (Kubernetes), CI/CD
• Cloud expertise ( Azure/AWS); familiar with GPU/TPU optimization
• Strong knowledge of model versioning, metadata, and governance best practices

Desirable

• We are seeking a Technical Lead to drive the development of infrastructure, tooling, and workflows that support the entire machine learning model lifecycle—from model ingestion to production validation and feedback
• You will be a foundational leader in a team that builds internal tools for ML model developers, enabling them to ingest models, track metadata, test offline and online, ensure safety, and analyze results
• You’ll partner closely with ML researchers, data scientists, product teams, and DevOps to build robust, scalable systems that ensure model quality, reproducibility, and trustworthiness. You’ll also mentor engineers and be a key contributor to our long-term AI infrastructure roadmap
• Lead architecture and development of ML model ingestion and metadata tooling
• Design and maintain offline and online model testing pipelines
• Build infrastructure for safe, scalable model deployment and serving
• Define and enforce model governance and observability standards