job specification

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 | 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

• 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.