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For Companies At a Glance
- Tasks: Build intuitive UIs and collaborate with teams to create impactful AI tools.
- Company: Join a fast-growing AI company transforming healthcare and retail with predictive analytics.
- Benefits: Enjoy a competitive salary, hybrid working, and opportunities for skill growth.
- Why this job: Make a real difference in industries while learning from experienced AI engineers.
- Qualifications: Open to all backgrounds; no prior AI experience required.
- Other info: Small team environment means your contributions will have a significant impact.
The predicted salary is between 45000 - 55000 £ per year.
Join a fast-growing AI company quietly making waves at the intersection of predictive analytics, retail, and healthcare. They combine cutting-edge research with real-world impact, building modular AI systems that help businesses make smarter decisions. Now, they’re looking for a full-stack engineer to bring these powerful insights to life through intuitive user interfaces.
What you’ll do:
- Build clean, scalable UIs that make complex AI easy to understand
- Collaborate with product, data, and AI teams to bring research to life
- Shape tools already making a difference in healthcare and retail
- Create reusable UI components for modular AI platforms
Bonus if you have experience with:
- Predictive systems or data-heavy dashboards
Why join?
- Work that matters – powering decisions in healthcare & retail
- Small team = real ownership and impact
- Learn from AI engineers and grow your skills
- Competitive salary £45–55k + hybrid working in Nottingham
Don’t worry if you haven’t worked on AI before, they are open to people learning on the job! Ready to step into AI and build tools that count? Apply now!
AI Software Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and full-stack development. Understanding the intersection of predictive analytics, retail, and healthcare will give you an edge in conversations during interviews.
✨Tip Number 2
Showcase your ability to build clean and scalable user interfaces. Prepare examples of past projects where you've created intuitive UIs, as this is a key aspect of the role.
✨Tip Number 3
Highlight any collaborative experiences you've had with product, data, or AI teams. Being able to demonstrate teamwork and how you've contributed to bringing research to life will resonate well with the hiring team.
✨Tip Number 4
If you have experience with predictive systems or data-heavy dashboards, make sure to mention it. Even if it's not extensive, showing a willingness to learn and adapt in these areas can set you apart from other candidates.
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand what the company is looking for in an AI Software Engineer. Highlight the skills and experiences that align with building scalable UIs and collaborating with various teams.
Tailor Your CV: Customise your CV to reflect your experience in full-stack development, particularly focusing on any projects involving user interfaces or predictive systems. Use specific examples that demonstrate your ability to create clean and scalable UIs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background makes you a great fit for the role. Mention your willingness to learn and adapt, especially if you haven't worked directly in AI before.
Highlight Relevant Projects: If you have worked on any data-heavy dashboards or similar projects, make sure to include these in your application. Describe your role and the impact of your work, as this will resonate well with the company's focus on real-world applications.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Full-Stack Skills
Be prepared to discuss your experience with both front-end and back-end technologies. Highlight specific projects where you've built scalable UIs or worked on data-heavy dashboards, as this aligns closely with the role.
✨Understand AI Basics
Even if you haven't worked directly with AI before, having a basic understanding of AI concepts and how they apply to predictive analytics will impress the interviewers. Brush up on key terms and their relevance to the industry.
✨Demonstrate Collaboration Experience
Since the role involves working with product, data, and AI teams, be ready to share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate effectively across different disciplines.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction. This shows your genuine interest in the role and helps you understand how you can contribute to their mission in healthcare and retail.
