Opportunity Description
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/A...
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/A...
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