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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** Qureight Ltd - **Location:** London, UK - **Experience:** Expert - **Salary:** £74,295.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Big Data, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Dicom, Distributed Computing Environment, Python (Programming Language), Machine Learning, Software Engineering, Data Logging, Cloud Platform System, High Performance Computing, Pytorch, Delivery Pipeline, Git, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Terraform, Software Version Control, Docker - **Published:** July 31, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5821202896 ## About the Role * Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. * 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. Even better if you have * Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats. * Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments. * Experience with infrastructure as code, such as Terraform. * Experience with multi-stage Docker containers and secure software supply-chain practices. * Experience with distributed training, large-scale data loading or high-performance computing environments. * Experience supporting research-to-production ML workflows. * Experience with monitoring, observability, model versioning or MLflow-like tooling. ## Description As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimise and deploy large-scale 3D medical-imaging models reliably., We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do * 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [ZEISS & Microsoft - Building the Next Generation Medical Ecosystem in the Cloud](https://www.wearedevelopers.com/videos/424-zeiss-microsoft-building-the-next-generation-medical-ecosystem-in-the-cloud) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)