23 of 23 DICOM Jobs in the UK

cloud platforms (e.g., AWS, Azure, GCP). Understand data modelling concepts and best practices. Experience with healthcare data standards (e.g., HL7, FHIR, ICD, SNOMED, DICOM) preferred. Excellent problem-solving and communication skills. Ability to communicate complex ideas effectively, both verbally and in writing. Ability to engage all levels of the More ❯

system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts More ❯

distribution channels. What do the AI outputs look like in my workflow? The outputs from the AI solutions can be displayed in different ways: DICOM objects stored directly in your PACS, utilizing heat-maps, lines/arrows, bounding boxes, regions of interest, circles and/or volumetric segmentations. How do More ❯

ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or More ❯

ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or More ❯

ML/DL techniques, demonstrated by academic or professional projects. Experience with Git, Linux, and command-line tools. Desirable: Experience with medical image processing, DICOM, ITK/SimpleITK. Familiarity with deploying ML models or MLOps tools (MLFlow, Kubernetes, DVC, Docker). Understanding of the software development lifecycle. Clinical research or More ❯

Job Description Have you worked with medical imaging systems and want to take your next big step? Are you ready to join a team where your experience will be recognised, valued, and put to life-saving use? Looking for a More ❯

Job Description Have you worked with medical imaging systems and want to take your next big step? Are you ready to join a team where your experience will be recognised, valued, and put to life-saving use? Looking for a More ❯

are essential for pathologist productivity. Key Functional Highlights Fast, intuitive image navigation (zoom, pan, enhancement tools) Support for various WSI formats: .svs, .ndpi, .tiff, DICOM Annotation tools: freehand, shapes, text, private notes Measurement and calibration tools Secure audit trail logging and user context awareness (no separate auth layer—context passed More ❯

are essential for pathologist productivity. Key Functional Highlights Fast, intuitive image navigation (zoom, pan, enhancement tools) Support for various WSI formats: .svs, .ndpi, .tiff, DICOM Annotation tools: freehand, shapes, text, private notes Measurement and calibration tools Secure audit trail logging and user context awareness (no separate auth layer—context passed More ❯

Proven Azure expertise - deployment, configuration, and administration Strong experience with Windows Server and Active Directory Good understanding of SharePoint Experience with Pagination Medical/DICOM is highly beneficial A background in healthcare or regulated environments is a plus Candidates from related technical backgrounds are welcome to apply If you are More ❯

you will enable accurate, timely data sharing throughout our clinical ecosystem. You will also support and guide other engineers on best practices for HL7, DICOM, and potentially FHIR-based workflows. Experience in radiology integrations (e.g. RIS/PACS) is particularly beneficial, though not mandatory. You have experience of Your success … similarly regulated sector. You likely have: Extensive Integration Engineering Background A proven history of configuring and optimising Mirth Connect channels, employing JavaScript for HL7, DICOM, and potentially FHIR transformations. Familiarity with XML/JSON for message validation and data handling; experience with radiology systems (e.g. RIS/PACS) is a … Git). Experience with RESTful APIs is desirable, facilitating broader interoperability where needed. High-Performance & Reliable Data Flows Expertise in scaling solutions for large DICOM images or high-volume HL7 traffic, minimising disruption to clinical services. Cross-Functional Collaboration A track record of working effectively with clinical, architectural, and operational More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯

and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation) Help set up … etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validation MSc, PhD, or equivalent industry More ❯

and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation) Help set up … etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validation MSc, PhD, or equivalent industry More ❯

and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOM imaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation) Help set up … etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validation MSc, PhD, or equivalent industry More ❯