About the role
You will train and evaluate models on sealed health data inside confidential environments, working with clinicians and researchers so clinical insights and models leave the enclave, not the underlying records.
What you will do
- Build training and evaluation pipelines that run on sealed data in confidential compute.
- Collaborate with clinical and research partners on problem framing and model quality.
- Support federated and multi-controller training where custodianship stays local.
- Instrument experiments so results are reproducible and auditable.
What you bring
- Hands-on ML engineering experience in training, evaluation and shipping models.
- Comfort working with constrained or privacy-preserving compute environments.
- Curiosity about clinical or health data problems. Domain depth can grow on the job.
How to apply
Send a short note and CV to public@londonquantumgroup.com.
Apply for this role