Job Description
We are looking for a Senior MLOps Engineer to join AI Enablement and play a central role in ensuring that the AI Accelerator’s models move from development to production reliably and keep performing. This is a hands‑on operational role with real stakes. The models you deploy and manage will be used to make decisions about which indications to pursue, in which patient population and against which target. When your systems work well, science moves faster and portfolio decision‑making gets better.
You will take full operational ownership of shipped models, managing deployment, monitoring, retraining and lifecycle end‑to‑end. You will make sure that the IT‑provisioned experiment tracking and model registry systems are used effectively, that training and fine‑tuning runs are consistently and correctly logged and that model artefacts are registered with full provenance from data through to prediction. You will work closely with ML engineers at model handover, reviewing documenta...