Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and operationalise high-value AI workflows and integrate AI capabilities into products.
- Company: Global CEO advisory firm with a rapidly growing AI team in London.
- Benefits: Competitive salary and extensive personal development opportunities.
- Why this job: Join a cutting-edge AI team and make a real impact in the tech world.
- Qualifications: Strong Python skills, cloud infrastructure experience, and software engineering background.
- Other info: Dynamic work environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A global CEO advisory firm is seeking an Engineer to join their rapidly growing AI team in London. The successful candidate will build and operationalize high-value AI workflows and integrate AI capabilities into various products.
Responsibilities include:
- Developing end-to-end implementations
- Collaborating with vendors
- Ensuring observability of systems
Ideal candidates have strong Python skills, cloud infrastructure experience, and a professional background in software engineering. Competitive salary and extensive personal development opportunities are offered.
AI Platform Engineer - Production-Grade Azure Pipelines employer: Teneo
Contact Detail:
Teneo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer - Production-Grade Azure Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with Azure. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any cloud infrastructure work you've done. This is your chance to demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI workflows and Azure Pipelines. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining our awesome team.
We think you need these skills to ace AI Platform Engineer - Production-Grade Azure Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and cloud infrastructure experience. We want to see how your background in software engineering aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our AI team and how you can contribute to building high-value AI workflows. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any end-to-end implementations or have experience with Azure Pipelines, make sure to mention these in your application. We love seeing real examples of your work that demonstrate your skills!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Teneo
✨Know Your AI Workflows
Make sure you understand the end-to-end AI workflows relevant to the role. Brush up on how to operationalise these workflows and be ready to discuss your past experiences with similar projects.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with Azure Pipelines
As this role focuses on production-grade Azure Pipelines, ensure you know how to set them up and manage them effectively. Be ready to discuss any previous experience you have with cloud infrastructure and CI/CD processes.
✨Collaboration is Key
This position involves working with vendors and other teams, so be prepared to talk about your collaboration experiences. Highlight any successful projects where teamwork played a crucial role in achieving results.
