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- Tasks: Design and train deep learning models on 3D medical imaging data.
- Company: Join a high-growth healthtech team revolutionising healthcare AI.
- Benefits: Enjoy flexible remote work, competitive salary, and rapid career progression.
- Why this job: Be part of a world-class team making a real impact in healthcare.
- Qualifications: Strong experience with PyTorch or TensorFlow; PhD or MSc with relevant experience required.
- Other info: Contribute to peer-reviewed research and collaborate with top talent.
The predicted salary is between 52000 - 78000 £ per year.
🧠AI Developer – 3D Medical Imaging SpecialistLocation: UK / Manchester (On-site)Salary: £65K–£100K+ depending on experienceType: Full-time | PermanentA high-growth healthtech team is hiring an AI Developer / Medical Imaging Specialist to work on cutting-edge agentic systems for diagnostics and clinical automation. You\’ll be part of a world-class team of PhDs, ML engineers, and imaging specialists building the future of healthcare AI.🔬 What You\’ll Be Working OnDesigning and training deep learning models on 3D medical imaging data (CBCT, MRI, CT, etc.)Developing preprocessing and segmentation pipelines for volumetric datasetsBuilding robust, scalable training and evaluation workflowsCollaborating with researchers and clinicians to translate findings into production-grade systemsContributing to peer-reviewed research, publications, and regulatory submissions🧠Ideal ProfileStrong experience with PyTorch or TensorFlowExpertise in medical imaging (CBCT, MRI, CT, ultrasound, etc.)PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience)Solid grasp of image segmentation, 3D data handling, and deep learning architecturesBonus: experience in regulated environments (e.g. ISO 13485, FDA)✅ What’s On OfferHigh-impact work shaping the future of AI in healthcareCollaborate with exceptional talent in a mission-driven environmentFlexible remote/hybrid setupCompetitive salary + rapid career progression opportunities📩 Interested or know someone who might be? Feel free to DM me directly or drop your CV/GitHub/Pubs in the comments.
Medical Imaging Specialist employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Imaging Specialist
✨Tip Number 1
Network with professionals in the healthtech and AI fields. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends in medical imaging.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to medical imaging or AI. This not only enhances your skills but also demonstrates your commitment and knowledge to potential employers.
✨Tip Number 3
Engage with the academic community by publishing your research or findings in relevant journals. This can help you establish credibility and make connections that could lead to job opportunities.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and deep learning concepts. Familiarise yourself with common questions related to medical imaging and be ready to discuss your past projects in detail.
We think you need these skills to ace Medical Imaging Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning models, medical imaging, and any relevant projects. Use specific keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI in healthcare. Mention your expertise in PyTorch or TensorFlow and how your background aligns with the responsibilities of the Medical Imaging Specialist role.
Showcase Relevant Projects: If you have worked on projects involving 3D medical imaging or deep learning, include them in your application. Provide links to your GitHub or publications to give evidence of your skills and contributions.
Highlight Collaboration Experience: Emphasise any experience you have working with researchers or clinicians. This is crucial for the role, so mention specific instances where you translated findings into practical applications.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PyTorch or TensorFlow in detail. Bring examples of projects where you've designed and trained deep learning models on 3D medical imaging data, as this will demonstrate your expertise and relevance to the role.
✨Understand the Medical Imaging Landscape
Familiarise yourself with different types of medical imaging technologies like CBCT, MRI, and CT. Being able to discuss their applications and challenges will show that you have a solid grasp of the field and can contribute effectively to the team.
✨Prepare for Collaborative Scenarios
Since the role involves collaborating with researchers and clinicians, think of examples from your past experiences where teamwork was crucial. Be ready to explain how you translated complex findings into practical solutions, as this will highlight your collaborative skills.
✨Research the Company and Its Mission
Take some time to understand the company's goals and the impact of their work in healthcare AI. This knowledge will not only help you answer questions more effectively but also allow you to ask insightful questions, showing your genuine interest in the position.
