Senior MLOps Engineer: Scale Production ML on SageMaker

Proximie; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Bi-annual bonus

25 days paid leave

Private medical cover

Central London location near Oxford C

Career advancement opportunities

Well-being days

Summer Fridays

Job summary

Proximie seeks an experienced ML Platform Engineer to own the production infrastructure for machine learning solutions. You will manage training, processing and inference workloads on AWS SageMaker, and ensure reproducibility and reliability across hundreds of live hospitals.

You will implement containerised services with Docker, define environments in code, and drive monitoring for model drift and performance.

Qualifications

• Production ML in healthcare or regulated environments.
• Ability to translate models into scalable, reliable production services.
• Experience with AWS SageMaker training, processing, and endpoints.
• Strong software engineering practices: testing, version control, CI/CD.

Responsibilities

• Own the platform and infrastructure for ML solutions in production.
• Build and maintain SageMaker training, processing and inference workloads.
• Ship infrastructure as code using Terraform and PR workflows.
• Implement monitoring for model performance, drift and system health.
• Document architectures and uphold engineering standards.

Skills

Python

PyTorch

Hugging Face Transformers

scikit-learn

NumPy

pandas

OpenCV

Git

CI/CD

Cloud fundamentals

Tools

AWS SageMaker

MLflow

Docker

Terraform

Kinesis

Lambda

ECS

DynamoDB

Job description

Proximie seeks an experienced ML Platform Engineer to own the production infrastructure for machine learning solutions. You will manage training, processing and inference workloads on AWS SageMaker, and ensure reproducibility and reliability across hundreds of live hospitals.

You will implement containerised services with Docker, define environments in code, and drive monitoring for model drift and performance.