Senior ML Engineer - Real-Time AI for Patient Care

The Institute for Performance and Learning; London; Hybrid; CAD 215,000 - 252,000; Full time

Benefits offered by this job

Share options up to £30,000

Dog-friendly Shoreditch office

Flexible working and generous holidays

Job summary

Accurx in London is seeking a Senior ML Engineer for the Triage Intelligence team to build the ML systems powering healthcare communications across the product suite. You will shape end-to-end pipelines from data ingestion to real-time deployment, ensuring performance and observability.

You will work with data scientists, clinicians, and engineers to translate clinical goals into scalable ML solutions, focusing on NLP, deep learning, and modular libraries for reuse across products.

Qualifications

• Experience translating clinical and product goals into ML tasks.
• Proven track record shipping models to production.
• Strong production-grade programming in Python/Go/C#.
• Experience with both offline and online ML metrics.

Responsibilities

• Own end-to-end design of ML systems from data ingestion to deployment.
• Partner with Data Scientists to evolve experimental code into reusable libraries.
• Translate clinical objectives into efficient computational tasks and build scalable pipelines.
• Make build-vs-buy trade-offs aligned with long-term goals.

Skills

Transformer-based NLP

Deep Learning

Python

NLP

Model deployment

Go

C#

Team collaboration

Tools

Terraform

Kubernetes

SageMaker

Vertex AI

Job description

Accurx in London is seeking a Senior ML Engineer for the Triage Intelligence team to build the ML systems powering healthcare communications across the product suite. You will shape end-to-end pipelines from data ingestion to real-time deployment, ensuring performance and observability.

You will work with data scientists, clinicians, and engineers to translate clinical goals into scalable ML solutions, focusing on NLP, deep learning, and modular libraries for reuse across products.