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- Tasks: Build and maintain ML and LLM pipelines in a fully remote setup.
- Company: Vamstar, a leader in transforming healthcare through AI.
- Benefits: Fully remote work, competitive salary, and impactful projects.
- Other info: Work independently while handling large datasets in a dynamic environment.
- Why this job: Join us to revolutionise healthcare and take ownership of your work.
- Qualifications: 7+ years in backend data development with strong Python and SQL skills.
The predicted salary is between 70000 - 105000 £ per year.
Vamstar is looking for a Senior AI & Data Engineer to build and maintain ML and LLM pipelines in a fully remote setup. Candidates should have over 7 years of experience in backend data development with deep proficiency in Python. You will be responsible for ensuring pipeline health, working independently, and handling large datasets. Ideal applicants will understand ETL/ELT processes and have strong SQL skills. Join us to transform the healthcare industry while taking ownership of impactful projects.
Senior AI & Data Engineer - Healthcare AI (Remote UK) in London employer: Vamstar
Contact Detail:
Vamstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & Data Engineer - Healthcare AI (Remote UK) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI space on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving ML and LLM pipelines. We recommend sharing this on platforms like GitHub to demonstrate your expertise in Python and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We suggest practising common data engineering problems and being ready to discuss your experience with ETL/ELT processes in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior AI & Data Engineer - Healthcare AI (Remote UK) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 7+ years of experience in backend data development. We want to see how your skills in Python and SQL have helped you tackle big projects, especially in the healthcare sector.
Be Specific About Your Skills: When discussing your proficiency in ETL/ELT processes, give us concrete examples. We love seeing how you've built and maintained ML and LLM pipelines, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your past experiences align with our mission to transform the healthcare industry. It shows us you’re genuinely interested!
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 Vamstar
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with ML and LLM pipelines. Vamstar will likely want to hear about specific projects you've worked on, so prepare examples that showcase your backend data development expertise.
✨Master the ETL/ELT Processes
Since the role involves handling large datasets, it's crucial to demonstrate a solid understanding of ETL/ELT processes. Be prepared to explain how you've implemented these processes in past roles and any challenges you faced along the way.
✨SQL Skills Are Key
Strong SQL skills are a must for this position. Brush up on your SQL queries and be ready to solve some practical problems during the interview. You might even be asked to write a query on the spot, so practice makes perfect!
✨Show Your Independence
Vamstar is looking for someone who can work independently, so be ready to discuss how you've successfully managed projects on your own. Share examples of how you've taken ownership of tasks and driven results without constant supervision.