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- Tasks: Build and optimise cutting-edge ML models for 3D medical imaging.
- Company: Leading health tech innovator focused on improving patient outcomes.
- Benefits: Competitive salary, flexible work arrangements, 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 with advanced AI technology.
- Qualifications: MSc or PhD with strong Python and PyTorch skills.
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 employer: SciPro
Contact Detail:
SciPro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨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 tackled specific problems. Confidence and clarity can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with Python, PyTorch, and any relevant projects that showcase your skills in building and deploying ML models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health tech and how your background aligns with the company's mission. Be sure to mention your experience with cloud platforms and containerisation.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving GPUs or scalable ML systems, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
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, PyTorch, and the tools mentioned in the job description. Brush up on your knowledge of ONNX, TensorRT, and Docker. Be ready to discuss how you've used these technologies in past projects, especially in relation to building and deploying ML models.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around optimising ML models or working with large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process and outcomes.
✨Demonstrate Collaboration
Since this role is highly collaborative, think of examples where you’ve worked effectively in a team. Be ready to talk about how you’ve contributed to group projects, shared knowledge, or helped others overcome technical hurdles. This will show that you can thrive in a fast-moving environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, their approach to AI and cloud technology, and how they measure success in their ML initiatives. This not only shows your interest but also helps you gauge if the company aligns with your career goals.