Signify has partnered with a key client who is currently hiring a Staff ML Engineer to drive the productionisation and scaling of ML systems. Staff ML Engineer (Contract) Remote | 36 months | ASAP Start Location - Remote - (The team is based on the East Coast) What youll do - Own end-to-end ML productionisation (deployment serving monitoring) - Build and scale batch & real-time model serving systems - Develop feature pipelines & feature serving infrastructure - Implement CI/CD pipelines for ML (build, test, deploy) - Manage model lifecycle (versioning, retraining, rollout/rollback) - Ensure performance, reliability & observability (SLAs, logging, alerting) - Troubleshoot production issues & optimise ML systems What they need - 7+ years in ML Engineering / MLOps / Data Engineering - Strong experience deploying ML models into production at scale - Hands-on with Databricks, MLflow - Strong coding skills (Python essential, Scala/Java nice to have) - Experience with AWS/Azure, Docker, Kubernetes - Solid understanding of ML systems, pipelines & lifecycle management - Experience with Infrastructure as Code (Terraform/CDK) If you are interested in this role, then please apply or send me a message.
Job Title
Staff ML Engineer - Contract