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- Tasks: Develop and deploy cutting-edge computer vision models for medical imaging.
- Company: Leading healthcare tech company in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real difference in healthcare using advanced machine learning technologies.
- Qualifications: Strong Python and PyTorch skills, experience with ONNX/TensorRT, and GPU expertise.
The predicted salary is between 60000 - 80000 £ per year.
A leading healthcare technology company in Greater London seeks a Senior Machine Learning Engineer to develop and deploy computer vision models on large medical imaging datasets. This role requires strong Python and PyTorch skills, experience with ONNX/TensorRT, and hands-on work with GPUs.
You will parallelise training across multiple GPUs, develop inference pipelines, and build scalable ML infrastructure. A proactive individual who thrives in fast-paced environments will excel in this permanent role requiring occasional in-office presence.
Senior ML Engineer – Medical Imaging, Hybrid (London) employer: SciPro
Contact Detail:
SciPro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – Medical Imaging, Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare tech space, especially those working with ML and medical imaging. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, and GPU work. Having tangible examples of your expertise can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ONNX/TensorRT and parallel training techniques. Practise coding challenges and system design questions related to ML infrastructure to boost your confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Engineer – Medical Imaging, Hybrid (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and PyTorch expertise in your application. We want to see how you've used these skills in real-world projects, especially with medical imaging datasets.
Be Specific About Your Experience: When detailing your experience, focus on your hands-on work with GPUs and any projects involving ONNX or TensorRT. We love specifics, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention how your proactive nature and ability to thrive in fast-paced environments make you a perfect fit for our team.
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’re considered for this exciting opportunity!
How to prepare for a job interview at SciPro
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PyTorch skills before the interview. Be ready to discuss your experience with ONNX/TensorRT and how you've used these technologies in past projects. They’ll likely want to hear about specific challenges you faced and how you overcame them.
✨Showcase Your GPU Experience
Since this role involves working with GPUs, be prepared to talk about your hands-on experience. Discuss any projects where you parallelised training across multiple GPUs and the impact it had on performance. Real-world examples will help demonstrate your expertise.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving skills, especially related to developing inference pipelines and scalable ML infrastructure. Practise explaining your thought process clearly and concisely, as they’ll want to see how you approach complex issues.
✨Emphasise Your Proactive Nature
This company values individuals who thrive in fast-paced environments. Share examples of how you've taken initiative in previous roles, whether it’s leading a project or suggesting improvements. This will show that you’re not just a team player but also someone who drives progress.