Signify has partnered with a key client who is currently hiring a Senior ML Engineer to drive the productionisation and scaling of ML systems.
Staff ML Engineer (Contract)
Remote | 3–6 months | ASAP Start
Location - Remote - (The team is based on the East Coast)
What you'll 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
* 5+ 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.