At a Glance
- Tasks: Build and maintain a cutting-edge AI research platform using Python, FastAPI, React, and Azure.
- Company: Join a leading AI research team shaping the future of technology.
- Benefits: Competitive PAYE contract, hybrid work model, and hands-on experience with innovative tech.
- Other info: 12-month contract with excellent opportunities for growth in a dynamic environment.
- Why this job: Take ownership of a full-stack platform and make a real impact in AI development.
- Qualifications: Strong Python skills, cloud experience, and a passion for building APIs and data pipelines.
The predicted salary is between 50000 - 70000 € per year.
We’re partnering with a leading AI research team building platforms that allow people to directly shape how AI models are trained and evaluated. This is a hands-on role working on a live, production-backed research platform — helping it scale, run reliably, and evolve into the next phase. You’ll take ownership of a full-stack AI platform, working across:
- Backend APIs and core platform (Python / FastAPI)
- Data pipelines and processing workflows
- Cloud infrastructure and deployments (Azure, Docker, Kubernetes)
- Frontend features (React / TypeScript)
Key Responsibilities
- Build and maintain backend services and APIs (Python, FastAPI)
- Develop frontend features (React / TypeScript)
- Design and manage data pipelines (ingestion, transformation, storage)
- Deploy and manage cloud infrastructure (Azure, Docker, Kubernetes)
- Maintain CI/CD, testing, and code quality standards
- Support live platform deployments and ensure reliability
- Use AI-assisted / agentic coding tools to improve delivery speed
Tech Stack
- Backend: Python, FastAPI
- Frontend: React, TypeScript
- Cloud: Azure (or AWS/GCP equivalent)
- DevOps: Docker, Kubernetes, CI/CD
- Data: ETL pipelines, data processing
What We’re Looking For
- Strong Python engineering experience
- Experience building APIs / backend services
- Hands-on with cloud + containerisation (Azure/AWS, Docker, Kubernetes)
- Experience with data pipelines / ETL workflows
- Frontend experience (React preferred)
Contract Details:
- PAYE Contract
- Hybrid – Cambridge
- 12 Months Contract
Please apply for immediate consideration.
Software Engineer - AI Research Platform in Cambridge employer: Experis UK
Join a dynamic and innovative team at the forefront of AI research in Cambridge, where you'll have the opportunity to work on cutting-edge technology that shapes the future of AI. Our collaborative work culture fosters creativity and growth, providing you with ample opportunities for professional development while enjoying the flexibility of a hybrid work environment. With a focus on employee well-being and a commitment to excellence, we offer a rewarding experience for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI Research Platform in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, and React. We love seeing real-world applications of your work, so make sure to highlight any relevant experience with cloud infrastructure too.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. We recommend practicing common algorithms and system design questions, as they often come up in interviews for roles like this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to our AI research platform.
We think you need these skills to ace Software Engineer - AI Research Platform in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, FastAPI, and React. We want to see how your skills align with our tech stack, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in AI and cloud infrastructure makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any cool projects involving data pipelines or cloud deployments, make sure to mention them. We love seeing practical examples of your work that demonstrate your hands-on experience.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Experis UK
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, React, and Azure. Brush up on your knowledge of building APIs and backend services, as well as your experience with cloud infrastructure and containerisation.
✨Showcase Your Projects
Prepare to discuss specific projects where you've used the required tech stack. Highlight your role in developing backend services, managing data pipelines, or deploying applications. Real-world examples will demonstrate your hands-on experience and problem-solving skills.
✨Understand AI Research Platforms
Familiarise yourself with how AI models are trained and evaluated. Being able to discuss the implications of your work on AI research will show that you’re not just a coder but someone who understands the bigger picture and can contribute meaningfully.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, or their approach to scaling the platform. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
