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- Tasks: Architect and build data infrastructure for AI/ML applications.
- Company: Leading technology firm in Greater London with an inclusive culture.
- Benefits: Engage with cutting-edge tech and enjoy a collaborative work environment.
- Why this job: Make a real impact by designing scalable data pipelines for generative AI.
- Qualifications: Strong programming skills in Python and extensive data engineering experience.
- Other info: Opportunity to work with innovative technologies in a dynamic setting.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology firm in Greater London seeks a Senior Data Engineer for AI/ML to architect and build data infrastructure. Responsibilities include designing scalable data pipelines, leveraging cloud platforms for efficiency, and developing data flows for generative AI applications.
Strong programming skills in Python and extensive data engineering experience are required. The position offers a chance to engage with cutting-edge technologies and an inclusive workplace culture.
Senior Data Engineer - AI/ML & MLOps (RAG) in London employer: Zenith UK
Contact Detail:
Zenith UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AI/ML & MLOps (RAG) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with cloud platforms. Practising common technical questions can really 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 get noticed by our hiring team.
We think you need these skills to ace Senior Data Engineer - AI/ML & MLOps (RAG) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant data engineering experience. We want to see how you can architect and build data infrastructure, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your application for the Senior Data Engineer role. Mention specific projects or experiences that relate to designing scalable data pipelines and working with cloud platforms. This helps us see how you fit into our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff – we want to know what makes you a great fit!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Zenith UK
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around designing scalable data pipelines. Be ready to discuss your past experiences and how you've tackled challenges in building data infrastructure.
✨Showcase Your Python Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Familiarise Yourself with Cloud Platforms
As the role involves leveraging cloud platforms, make sure you understand the key services offered by major providers like AWS, Azure, or Google Cloud. Be prepared to discuss how you've used these platforms to enhance efficiency in your previous projects.
✨Engage with Generative AI Concepts
Since the position focuses on generative AI applications, brush up on the latest trends and technologies in this area. Be ready to share your insights on how data flows can be optimised for AI/ML applications and any relevant projects you've worked on.