At a Glance
- Tasks: Build and maintain backend systems for AI that transforms healthcare.
- Company: Innovative HealthTech company making a real difference in patient outcomes.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Join a mission-driven team and work on impactful AI solutions in healthcare.
- Qualifications: 3+ years of backend engineering experience and familiarity with ML model serving.
The predicted salary is between 63000 - 77000 £ per year.
Job Overview
This Series B Health Tech company is building AI that helps radiologists and clinicians detect diseases earlier and more accurately.
Their technology is already deployed in NHS trusts and private hospitals across the UK, analysing thousands of scans daily.
The impact is measurable: faster diagnoses, earlier interventions, better outcomes.
They need an AI Engineer to own the backend systems that power their diagnostic models.
You'll work on everything from model serving infrastructure to data pipelines to the APIs that integrate with hospital systems.
This is healthcare, so reliability and security aren't negotiable — but neither is speed of iteration.
The team is a mix of world‑class ML researchers, experienced engineers, and clinical advisors.
They move fast for a regulated industry, shipping weekly while maintaining the rigour that healthcare demands.
If you want to work on AI that genuinely matters, this is one of the few places where that's actually true.
Responsibilities
- Build and maintain the backend infrastructure that serves diagnostic AI models in production
- Design APIs and integration layers that connect AI systems with hospital PACS and EHR systems
- Optimise model inference for latency and throughput — clinicians can't wait
- Build data pipelines that handle sensitive medical imaging data with appropriate governance
- Work closely with ML researchers to productionise new models and capabilities
- Ensure systems meet healthcare compliance requirements (NHS DTAC, GDPR, ISO 27001)
Qualifications
- A strong backend engineer with 3+ years of experience building production systems.
- Hands‑on experience with ML model serving and inference optimisation.
- Comfortable with Python and modern backend frameworks.
- Experience with cloud infrastructure (AWS/GCP) and containerisation.
- Understanding of healthcare data standards (DICOM, HL7, FHIR) is a plus, but not required.
- Motivated by impact — you want your work to matter beyond metrics
- #J-18808-Ljbffr
HealthTech AI Engineer (Backend) in London employer: Series B HealthTech
Series B HealthTech provides an exciting opportunity for professionals looking to make a real difference in healthcare through AI technology. The company fosters a collaborative and innovative work culture, allowing employees to grow alongside industry experts. With a focus on impactful projects and rapid development, it stands out as an attractive employer in the health tech sector.
StudySmarter Expert Advice🤫
We think this is how you could land HealthTech AI Engineer (Backend) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Series B HealthTech or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Series B HealthTech.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Series B HealthTech.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Series B HealthTech that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace HealthTech AI Engineer (Backend) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Series B HealthTech.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Series B HealthTech and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Series B HealthTech
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Series B HealthTech uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
