Senior ML Engineer: 3D Medical Imaging in Production

Qureight; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Annual bonus plan

Private medical insurance

Life insurance

Contributory pension scheme

Job summary

Qureight is expanding its AI-driven imaging platform and seeks a Machine Learning Engineer to train, optimise and deploy state-of-the-art computer vision models on volumetric CT data. You will collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams to build robust, scalable training and inference workflows.

Join a multidisciplinary team and help deliver reliable production pipelines, model deployment, and cloud-based ML infrastructure, with opportunities to work

Qualifications

• Strong Python and PyTorch skills for model training and inference codebases.
• Experience building, optimising and maintaining ML training and inference pipelines.
• Experience with Docker and containerised ML workflows.

Responsibilities

• Develop robust, scalable and reproducible inference pipelines.
• Deploy models into production using ONNX, TensorRT or similar frameworks.
• Build and optimise scalable ML training workflows.

Skills

Python

PyTorch

Docker

CI pipelines

Git

Linux shells

Cloud environments

TensorRT

ONNX

Tools

ONNX

TensorRT

Terraform

mlflow

Job description

Qureight is expanding its AI-driven imaging platform and seeks a Machine Learning Engineer to train, optimise and deploy state-of-the-art computer vision models on volumetric CT data. You will collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams to build robust, scalable training and inference workflows.

Join a multidisciplinary team and help deliver reliable production pipelines, model deployment, and cloud-based ML infrastructure, with opportunities to work