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- Tasks: Lead the development of a next-gen ML platform on Google Cloud.
- Company: Prominent insurance tech firm focused on innovation.
- Benefits: Hybrid work model, competitive salary, and dynamic work environment.
- Why this job: Make an impact by building scalable ML infrastructures for data scientists.
- Qualifications: Extensive GCP and Vertex AI experience, plus strong Python skills.
- Other info: Join a team that values engineering excellence and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A prominent insurance technology firm is seeking a Senior Machine Learning Engineer to lead the development of their next-generation ML platform on Google Cloud. This role emphasizes building scalable ML infrastructures that facilitate the work of data scientists.
Candidates should have extensive experience with GCP and Vertex AI, as well as strong Python skills. The position offers a hybrid work model with a focus on innovation and engineering excellence in a dynamic environment.
Senior ML Platform Engineer — GCP & Vertex AI employer: Policy Expert
Contact Detail:
Policy Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Platform Engineer — GCP & Vertex AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GCP and Vertex AI. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML platforms and Python. This is your chance to demonstrate your expertise and passion for building scalable infrastructures.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and GCP knowledge. Practice coding challenges and be ready to discuss your past experiences in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Platform Engineer — GCP & Vertex AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with GCP, Vertex AI, and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Senior ML Platform Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Policy Expert
✨Know Your GCP and Vertex AI Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform and Vertex AI. Be prepared to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand the Business Context
This is an insurance technology firm, so having a grasp of how machine learning can impact the insurance industry will set you apart. Think about how scalable ML infrastructures can improve efficiency and decision-making in this sector.
✨Prepare Questions That Show Your Interest
Interviews are a two-way street! Prepare thoughtful questions that reflect your interest in the company’s innovation and engineering culture. Ask about their current projects or future plans for the ML platform to show you're genuinely engaged.
