At a Glance
- Tasks: Build and scale machine learning systems to transform healthcare.
- Company: Fast-growing healthcare AI business making a real impact.
- Benefits: Salary up to £95,000, meaningful equity, and hybrid working.
- Other info: Join a dynamic team and work with large datasets in a regulated environment.
- Why this job: Take ownership of core ML systems and shape the future of healthcare.
- Qualifications: 5+ years in software development with strong Python and SQL skills.
The predicted salary is between 80000 - 100000 £ per year.
Are you a hands-on Machine Learning Engineer who enjoys taking models from research and experimentation all the way through to production?
Our client is a fast-growing healthcare AI business using machine learning to help hospitals recover lost appointment capacity, reduce waiting lists and treat more patients with the resources they already have.
They are looking for a
Senior Machine Learning Engineer to help build and scale the ML systems at the heart of their platform.
This is a highly hands‑on role for someone who combines strong machine learning expertise with genuine backend and software engineering capability.
- In This Role, You Will
- Research, prototype and productionise machine learning models.
- Own the full ML lifecycle, including training, deployment, monitoring and retraining.
- Design and build scalable backend services and APIs.
- Work with large, complex datasets and build secure, reliable systems.
- Contribute to ML strategy, architecture and key technical decisions.
- Work closely with product and engineering teams to deliver solutions with real-world impact.
- 5+ years of commercial software development experience.
- Proven experience taking ML models into production.
- Strong Python and SQL skills.
- Experience with databases, data modelling and system design.
- Strong AWS experience.
- Solid software engineering and computer science fundamentals.
- Even Better If You Have
- Reinforcement learning experience.
- Experience with Docker, ECS, Kubernetes and/or Terraform.
- Experience working with large datasets in healthcare or another regulated environment.
- In Return, You Will Receive
- Salary of up to £95,000, depending on experience.
- Meaningful equity.
- Hybrid working from a Central London office, typically around two days per week.
- The opportunity to take real ownership of core ML systems and influence the future of a growing healthcare AI business.
Interested? Apply now or get in touch to find out more.
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We think this is how you could land Senior Machine Learning Engineer in London
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We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at James Chase. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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