At a Glance
- Tasks: Develop AI features and backend services to improve patient care.
- Company: Clovo, a pioneering health-tech company focused on AI in healthcare.
- Benefits: Competitive salary, ownership of AI systems, team lunches, and annual bonuses.
- Other info: Join a dynamic team and grow your expertise in applied AI.
- Why this job: Make a real difference in healthcare with cutting-edge AI technology.
- Qualifications: Experience in AI, backend development, and strong problem-solving skills.
The predicted salary is between 38000 - 56000 £ per year.
Employment type
- Full-time
- About Clovo
Clovo is a health-tech company building applied AI that measurably improves how patients get through surgery and cancer treatment.
We are looking for an AI Engineer to help develop safe, reliable and personalised AI-enabled product features within a regulated healthcare environment.
The Role
You will work across applied AI, backend engineering and product development, helping to take AI capabilities from prototype to production.
You will collaborate with technical, clinical and product colleagues to build systems that are useful, measurable, secure and appropriate for patient-facing use.
Key Responsibilities
- Develop and maintain AI-powered product features.
- Build backend services and APIs in Python.
- Integrate large language models and other machine-learning components into production systems.
- Develop evaluation, testing and monitoring processes for AI features.
- Improve system reliability, performance, security and cost efficiency.
- Work with structured and unstructured healthcare-related data.
- Contribute to technical architecture, documentation and engineering standards.
- Support privacy, safety and regulatory requirements.
- Collaborate with clinical and product teams to translate requirements into technical solutions.
- Experience building applications with large language models or machine-learning systems.
- Experience developing backend services or APIs.
- Familiarity with SQL, Git and automated testing.
- Understanding of modern software-development practices.
- Strong problem-solving and communication skills.
- Ability to work effectively in an early-stage environment.
Experience in one or more of the following would be beneficial
- LLM evaluation, retrieval or agentic workflows.
- Recommendation or personalisation systems.
- Google Cloud Platform or Firebase.
- Data pipelines and analytics.
- CI/CD, Docker or infrastructure-as-code.
- Healthcare, regulated software or sensitive data.
- AI safety, observability or model monitoring.
What We Offer
- Salary of
£38,000–£56,000 , depending on experience.
- Meaningful ownership of production AI systems.
- The opportunity to shape an early-stage health-tech product.
- Close collaboration with technical, clinical and product leaders.
- Opportunities to develop expertise in applied AI and digital health.
- Monthly team lunches.
- Annual company bonus.
- Access to employee perks, discounts and benefits.
- Candidate Profile
This role may suit an AI Engineer, Machine Learning Engineer, Software Engineer or Data Scientist with strong production-development skills.
Candidates appointed toward the upper end of the salary range will be expected to independently own major technical components and contribute to architecture decisions.
How to Apply
Please send your CV, a brief explanation of your interest in Clovo, and links to any relevant technical projects, Git Hub repositories or deployed applications.
Clovo welcomes applicants from a wide range of backgrounds and career paths. Applicants must have a right to work in the UK.
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AI Engineer in Glasgow employer: Clovo
Clovo is an exceptional employer for those passionate about health-tech and AI, offering a collaborative work culture where you can make a tangible impact on patient care. With opportunities for professional growth in applied AI and digital health, employees enjoy meaningful ownership of production systems, monthly team lunches, and an annual bonus, all within a supportive environment that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Glasgow
✨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 Clovo 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 Clovo.
✨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 Clovo.
✨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 Clovo 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 AI Engineer in Glasgow
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 Clovo.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Clovo 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 Clovo
✨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 Clovo 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.
