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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Annual bonus plan, Private medical insurance, Life insurance, Contributory pension scheme, 25 days annual leave, Bank holidays
Posted 13d ago
~40 hrs/week
Responsibilities
The role involves developing, training, and optimizing state-of-the-art computer vision models for volumetric CT data. You will act as a bridge between research and production to build scalable, reproducible inference and training pipelines.
Requirements
Candidates must have strong Python and PyTorch skills with experience in model deployment, containerization, and cloud-based ML infrastructure. Experience with 3D medical imaging and regulated healthcare environments is considered a significant advantage.
Full job description
About us
Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.
We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.
About the role
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.
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.
A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
25 days annual leave, plus bank holidays and enhanced maternity leave
A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.
How to apply
Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.
We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 30th July 2026.
Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.
Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.
If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Related keywords
Machine LearningComputer VisionPythonPyTorchONNXTensorRTDockerMLFlowCI/CDCloud ComputingCT DataDICOMNIfTINRRDDevOpsInfrastructure as Code
Enterprise-grade imaging and precision endpoints for clinical trials
Industry
Hospitals and Health Care
Company size
51-200 employees
Founded
2018
Headquarters
Cambridge, Cambridgeshire
LinkedIn followers
4,415
Total funding
$11M
Qureight is an end-to-end imaging CRO on a mission to accelerate clinical trials. We provide enterprise-grade imaging and precision endpoints for the biopharmaceutical industry. Our AI-powered data and imaging curation platform permits the analysis of clinical imaging and other healthcare data from patients with lung and heart disease, helping our customers bring treatments to market, faster.
We provide automated image management and AI analysis in therapeutic areas such as Idiopathic Pulmonary Fibrosis, Progressive Pulmonary Fibrosis, Bronchiectasis, and Pulmonary Hypertension. Our world-leading team of scientists, engineers and clinicians is based in Cambridge and London, UK.
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Companies currently hiring include Graphcore, AVEVA, Qureight, Roku, Redgate Software, among others. Browse the listings above to see every active employer.
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