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- Tasks: Design and deploy cutting-edge AI models for medical imaging that improve patient care.
- Company: Join a pioneering team in healthcare technology focused on impactful solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with experts and influence the direction of innovative AI solutions.
- Why this job: Make a real difference in healthcare by shaping the future of clinical diagnostics.
- Qualifications: Master's or PhD in relevant fields and 5+ years of ML engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
This is a unique opportunity for an experienced ML engineer to join a specialised team building AI-powered clinical systems for a range of healthcare clients. You will work at the cutting edge of medical imaging and deep learning, developing models that have a direct and meaningful impact on patient care.
If you have a strong background in computer vision with hands-on experience in medical imaging pipelines, this role was written for you.
- Design, train, and deploy production-grade deep learning models applied to medical imaging data.
- This is a hands-on engineering role with significant ownership and influence over how AI shapes the future of clinical diagnostics.
- You will work closely with scientific and clinical stakeholders to translate complex medical problems into robust, scalable ML solutions and help define the technical direction of the team.
Qualifications:
- Master's or PhD in Machine Learning, AI, or Computer Science
- ~5+ years of senior ML engineering experience
- Proven experience in medical imaging or computer vision
- Experience building agentic AI systems with LangChain and RAG pipelines
Senior Engineer - Python & Data employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer - Python & Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and AI sectors. Attend meetups or webinars related to medical imaging and deep learning. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and medical imaging. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your hands-on experience and make you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with agentic AI systems and how you can contribute to shaping the future of clinical diagnostics.
We think you need these skills to ace Senior Engineer - Python & Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering, especially in medical imaging and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any cool projects related to deep learning or medical imaging, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Platform Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, especially in medical imaging and computer vision. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've translated complex medical problems into ML solutions. Think of examples where you've had to collaborate with clinical stakeholders. Highlight your ability to communicate technical concepts clearly, as this is crucial for working effectively in a healthcare setting.
✨Demonstrate Ownership
This role involves significant ownership over projects, so be ready to discuss times when you've taken the lead on a project. Talk about how you defined the technical direction and the impact your decisions had on the outcome. This will illustrate your capability to influence and drive results.
✨Familiarise Yourself with Tools
Since the job mentions LangChain and RAG pipelines, make sure you're familiar with these tools. If you’ve used them before, prepare to discuss your experience. If not, do a bit of research to understand their applications in building agentic AI systems, as this could set you apart from other candidates.