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- Tasks: Shape the future of clinical AI by developing and maintaining cutting-edge software solutions.
- Company: Join a pioneering med tech spinout from Imperial College London with a mission to improve patient care.
- Benefits: Enjoy competitive pay, 25 days annual leave, flexible hybrid working, and access to top clinical networks.
- Other info: Be part of a small, high-ownership team with excellent growth opportunities.
- Why this job: Make a real impact in healthcare while advancing your career towards Head of Engineering.
- Qualifications: 5+ years in software engineering with strong Python skills and experience in regulated environments.
The predicted salary is between 70000 - 90000 £ per year.
We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act.
We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale.
You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts.
- Own and extend the backend and ML infrastructure of a production SaMD system
- Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms
- Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks
- Write software that meets medical device quality standards, producing artefacts that support regulatory submissions
- Collaborate with clinical, data science, and regulatory stakeholders
- Help define engineering culture and processes as the team grows around you
5+ years of professional software engineering experience with a strong Python background
- Proven experience building and operating production services on Azure or AWS
- Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture
- Able to document work to regulatory audit standard
- Experience in a regulated software environment (medical devices, fintech, defence, or similar)
- Exposure to ML model deployment or monitoring in production
Technologies: Python, Azure, Terraform, Docker, ML Pipelines, FHIR / HL7, GitHub Actions
Competitive remuneration package, depending on experience. 25 days annual leave + bank holidays. Access to clinical and academic networks. Flexible hybrid working, London base.
As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.
Senior Software Engineer - AI/ML employer: Prelego
Contact Detail:
Prelego Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - AI/ML
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI/ML or healthcare tech. Attend meetups, webinars, or conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Python and Azure. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world scenarios. Practice explaining your past projects and how they relate to the role you're applying for. We want to see how you think and solve problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to our mission in clinical AI.
We think you need these skills to ace Senior Software Engineer - AI/ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with our job description. Highlight your Python expertise, experience with Azure, and any work in regulated environments. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI in healthcare and how your background makes you a perfect fit for our team. Don’t forget to mention why you’re excited about the opportunity to shape our engineering culture.
Showcase Relevant Projects: If you've worked on projects involving ML pipelines or healthcare data integrations, make sure to include them. We love seeing real-world applications of your skills, especially if they relate to clinical decision-support tools!
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Prelego
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, Azure, and the tools mentioned in the job description. Brush up on your experience with data-heavy systems and be ready to discuss how you've built and maintained production services. This will show that you can hit the ground running.
✨Understand the Healthcare Landscape
Familiarise yourself with clinical AI and the regulatory environment surrounding medical devices. Being able to speak knowledgeably about EHR systems, HL7/FHIR standards, and the importance of compliance will demonstrate your commitment to the role and the industry.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, especially in regulated environments. Discuss how you approached these problems, the solutions you implemented, and the impact they had. This will highlight your critical thinking and adaptability.
✨Engage with the Team's Vision
Research the company’s mission and values, and think about how your personal goals align with theirs. Be ready to discuss how you can contribute to shaping the engineering culture and processes as the team grows. This shows you're not just looking for a job, but a place where you can make a difference.