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- Tasks: Build and optimise cutting-edge ML models for medical imaging using advanced technologies.
- Company: Leading health tech innovator focused on improving lung and heart disease outcomes.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with ownership of state-of-the-art projects.
- Why this job: Make a real impact in healthcare by developing scalable AI solutions.
- Qualifications: MSc or PhD with strong Python, PyTorch, and ML experience.
The predicted salary is between 60000 - 80000 £ per year.
SciPro is proud to be partnered with a leading respiratory imaging company whose unique cloud and AI platform enables large-scale analysis of patient and clinical data, accelerating research and improving outcomes in lung and heart disease. This health tech innovator is seeking a Senior Machine Learning Engineer to build, optimise, and deploy production-grade computer vision models on large 3D medical imaging datasets, with a strong focus on scalable training and high-performance inference.
In this role, you will:
- Parallelise training across multiple GPUs and GPU nodes
- Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT)
- Build cutting-edge ML infrastructure to be deployed at scale
You should bring:
- MSc or PhD, with 2+ years of industry experience
- Strong Python and PyTorch skills
- Experience with ONNX and/or TensorRT
- Hands-on experience with GPUs (multi-GPU / distributed) is a plus
- Experience with Docker, cloud platforms (e.g. AWS), and CI/CD
- A track record of delivering productionised, scalable ML systems
This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives in fast-moving, purpose-driven environments, you will thrive in this position. This is a permanent role, requiring 1–2 days per week in London. Full right to work in the UK without restrictions, time limit, or sponsorship is required. Apply today to learn more!
Senior Machine Learning Engineer in London employer: SciPro
Contact Detail:
SciPro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and computer vision. We recommend using platforms like GitHub to share your code and demonstrate your expertise in Python and PyTorch.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. We suggest using online resources or mock interviews to get comfortable with the types of questions you might face, especially around scalable ML systems.
✨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 and take the initiative to reach out directly.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PyTorch, and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our mission in health tech. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool ML projects, especially those involving GPUs or cloud platforms, 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 for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
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 any hands-on work you've done with GPUs. They’ll likely want to hear about specific projects where you’ve built or optimised ML models.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially those related to deploying scalable ML systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you overcame obstacles.
✨Demonstrate Collaboration
Since this role is highly collaborative, think of examples where you worked effectively in a team. Discuss how you contributed to group projects, shared knowledge, or helped others solve technical issues. This will show that you can thrive in their fast-paced environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s cloud and AI platform, or their approach to medical imaging. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.