ML Ops Engineer
- Hiring Organisation
- Appcast
- Location
- London, UK
packaging and release through to serving, monitoring, retraining and incident response.What you’ll work onML lifecycle and platform engineeringBuild repeatable workflows for model training, validation, promotion, deployment and retraining.Productionise models through packaging, versioning, model registry integration, deployment automation and safe rollback.Design CI/CD pipelines for ML systems, including automated … testing, validation, release controls and environment promotion.Manage experiment tracking, model metadata and reproducibility across research and production.Build reusable tooling and platform capabilities that support multiple models and engineering teams.Model serving and observabilityDeploy and operate batch and online inference services in containerised cloud environments.Define and meet availability, latency, throughput and recovery ...