Senior ML Engineer, Medical Imaging & Production Pipelines

Qureight Ltd; Cambridge; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Contributory pension

25 days annual leave

Job summary

Qureight Ltd. is seeking a Machine Learning Engineer to advance our state-of-the-art 3D medical imaging platform. You will focus on training, inference, and deployment of scalable computer vision models on volumetric CT data, collaborating with ML scientists, DevOps and software engineers to move research into production.

The role emphasises robust, scalable pipelines, containerised workflows, and secure, compliant deployment in cloud environments. Strong Python and PyTorch skills are essential.

Qualifications

• Proven experience with Python and PyTorch in ML model training and inference.
• Experience building scalable ML training and inference pipelines.
• Familiarity with containerised ML workflows (Docker) and CI/CD.
• Experience with deployment frameworks such as ONNX or TensorRT.
• Experience with cloud environments and Linux tooling.

Responsibilities

• Develop robust, scalable and reproducible inference pipelines.
• Deploy models into production using ONNX, TensorRT or similar frameworks.
• Build and optimise scalable machine learning training workflows.
• Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training.
• Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components.
• Support cloud-based ML infrastructure and CI pipelines for model training, testing and deployment.
• Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code.
• Improve reproducibility, traceability and quality across ML engineering workflows.
• Identify risks, communicate trade-offs and proactively improve tooling and processes.

Skills

Python

PyTorch

Docker

CI pipelines

Cloud environments

Linux

Git

Python tooling

Tools

ONNX

TensorRT

MLFlow

Terraform

Job description

Qureight Ltd. is seeking a Machine Learning Engineer to advance our state-of-the-art 3D medical imaging platform. You will focus on training, inference, and deployment of scalable computer vision models on volumetric CT data, collaborating with ML scientists, DevOps and software engineers to move research into production.

The role emphasises robust, scalable pipelines, containerised workflows, and secure, compliant deployment in cloud environments. Strong Python and PyTorch skills are essential.