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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 City of London employer: SciPro
Contact Detail:
SciPro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and coding challenges. Practice explaining your past projects and how you've tackled challenges in ML. Confidence is key, so get comfortable talking about your expertise!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Machine Learning Engineer in City of 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 real-world 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’re well-versed in Python and PyTorch, as these are crucial for the role. Brush up on your knowledge of ONNX and TensorRT too, as you might be asked to discuss how you’ve used them in past projects.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built or optimised ML models. Highlight your experience with multi-GPU setups and any challenges you faced while deploying scalable systems. Real-world examples will make you stand out!
✨Understand the Company’s Mission
Research the respiratory imaging company and understand their goals in improving outcomes for lung and heart disease. This will help you align your answers with their mission and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about their current ML infrastructure and future projects. This not only shows your enthusiasm but also demonstrates your proactive nature, which is key for a collaborative role like this one.