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- Tasks: Design and deploy cutting-edge deep learning models for medical imaging.
- Company: Join a pioneering team transforming healthcare with AI technology.
- Benefits: Competitive salary up to £120,000, flexible working, and career growth.
- Other info: Collaborate with experts and shape the future of clinical diagnostics.
- Why this job: Make a real difference in patient care through innovative AI solutions.
- Qualifications: Master's or PhD in relevant fields and 5+ years of ML engineering experience.
The predicted salary is between 100000 - 120000 £ 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.
The Role
- 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.
Requirements
- Master's or PhD in Machine Learning, AI, or Computer Science
- 5+ years of senior ML engineering experience
- Expert in deep learning frameworks: PyTorch and/or TensorFlow
- Proven experience in medical imaging or computer vision
- Experience building agentic AI systems with LangChain and RAG pipelines
- Strong track record of deploying models to production at scale
If this role is of interest, please apply below.
Senior ML Engineer employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and AI sectors. Attend meetups or webinars where you can chat with industry folks. 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, especially those related to medical imaging and deep learning. Having tangible examples of your work can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning frameworks like PyTorch and TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail. Confidence in your expertise can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Senior ML Engineer role!
We think you need these skills to ace Senior ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering, especially in medical imaging and deep learning. 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. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to computer vision or deep learning, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Platform Recruitment
✨Know Your Stuff
Make sure you brush up on your deep learning frameworks, especially PyTorch and TensorFlow. Be ready to discuss your hands-on experience with medical imaging pipelines and how you've deployed models to production. The more specific examples you can provide, the better!
✨Understand the Impact
Since this role is all about improving patient care, think about how your work in ML can directly affect clinical diagnostics. Prepare to share insights on how AI can solve real-world healthcare problems and be ready to discuss any relevant projects you've worked on.
✨Communicate Clearly
You'll be working closely with scientific and clinical stakeholders, so practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between tech and healthcare, which is crucial for this role.
✨Show Your Passion
Let your enthusiasm for AI and its potential in healthcare shine through. Talk about why you're excited about this field and how you see it evolving. A genuine passion can set you apart from other candidates!