Senior ML Engineer - 3D Medical Imaging & Production

Qureight Ltd; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Contributory pension scheme

25 days annual leave

Job summary

Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state-of-the-art computer vision models for 3D medical imaging.

You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that operate at scale and with reproducible

Qualifications

• Strong Python and PyTorch skills.
• Experience building, optimising and maintaining ML training and inference pipelines.
• Experience with Docker and containerised ML workflows.
• Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools.
• Experience with GPU-based training, model serving and compute optimisation.
• Experience building and maintaining CI pipelines.
• Experience with cloud environments.
• Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty.
• Experience with modern development workflows, including pull requests, code review, documentation and ticketing.
• Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams.

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 such as MLFlow.
• Create and maintain CI pipelines for model training, testing and deployment workflows.
• 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.

Job description

Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state-of-the-art computer vision models for 3D medical imaging.

You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that operate at scale and with reproducible