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 focused on scaling and ensuring reliability of a live platform.
- 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) in Cambridge employer: Experis UK
Experis UK is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the vibrant tech hub of Cambridge. With a focus on employee growth, we provide opportunities for professional development and hands-on experience with cutting-edge technologies in a hybrid working model, ensuring a healthy work-life balance while contributing to impactful AI research projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Platform Engineer – Full‑Stack & Cloud (Hybrid) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud tech space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, React, and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common interview questions related to backend services and cloud infrastructure to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Research Platform Engineer – Full‑Stack & Cloud (Hybrid) in Cambridge
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 through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
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. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about scenarios where you had to ensure the reliability of a platform or scale services. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Company’s Vision
Research Experis UK and their AI Research Platform. Familiarise yourself with their goals and recent projects. Being able to articulate how your skills align with their mission will set you apart and show that you’re genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack, and future projects. This not only shows your enthusiasm for the position but also helps you gauge if the company culture and work environment are a good fit for you.
