At a Glance
- Tasks: Build and maintain backend services while developing frontend features for an AI research platform.
- Company: Join Experis UK, a leader in tech innovation based in Cambridge.
- Benefits: Enjoy a hybrid working model with competitive PAYE contract benefits.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI technology and cloud infrastructure.
- Qualifications: Strong experience with Python, FastAPI, React, and cloud technologies required.
The predicted salary is between 50000 - 70000 € per year.
Experis UK is seeking a Software Engineer for an AI Research Platform in Cambridge. This hands-on role involves building and maintaining backend services, developing frontend features, and managing cloud infrastructure.
Ideal candidates have strong experience with Python, FastAPI, React, and cloud technologies like Azure and Kubernetes.
The position offers a PAYE contract in a hybrid working model and is focused on scaling and ensuring the reliability of a live, production-backed platform.
AI Research Platform Engineer – Full‑Stack & Cloud (Hybrid) employer: Experis UK
Experis UK is an excellent employer, offering a dynamic work environment in the heart of Cambridge, where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and a hybrid working model that promotes work-life balance. Our collaborative culture encourages creativity and teamwork, making it a rewarding place for those passionate about AI and technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Platform Engineer – Full‑Stack & Cloud (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud tech space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, FastAPI, and React. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Azure and Kubernetes, and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to connect with you.
We think you need these skills to ace AI Research Platform Engineer – Full‑Stack & Cloud (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, FastAPI, React, and cloud technologies like Azure and Kubernetes. We want to see how your skills align with what we're looking for!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Research Platform Engineer role. It shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences at a glance.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Experis UK
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, React, and cloud technologies like Azure and Kubernetes. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific problems you've solved in previous roles, especially those related to backend services or cloud infrastructure, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research Experis UK and their AI Research Platform. Familiarise yourself with their goals and how your role as a Software Engineer fits into their vision. This will help you tailor your answers and show genuine interest.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the challenges they face with the platform, or future projects. This shows that you’re engaged and eager to contribute.
