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- Tasks: Lead AI initiatives and design advanced ML products to solve real-world problems.
- Company: Pioneering insurance tech firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team redefining the insurance industry with cutting-edge AI technology.
- Qualifications: Significant experience in Python, software development, and cloud-native pipelines.
- Other info: Dynamic environment that encourages rapid iteration and experimentation.
The predicted salary is between 48000 - 72000 £ per year.
A pioneering insurance technology firm located in Greater London is seeking an experienced individual to lead AI initiatives and design advanced ML products. The successful candidate will architect and scale systems that solve complex real-world problems and mentor a team of engineers. This role requires significant experience in Python, software development, and cloud-native pipelines, while contributing to innovative projects that redefine the insurance industry. The ideal candidate thrives in an environment promoting rapid iteration and experimentation.
Senior AI Platform Engineer in London employer: hyperexponential
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance tech space, especially those working on AI and ML. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Python and cloud-native pipelines. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex challenges in previous roles and how you can contribute to innovative projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Senior AI Platform Engineer in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your experience in Python and software development. We want to see how you've tackled complex problems in the past, so don’t hold back on those details!
Tailor Your Application: Customise your application to reflect the job description. Mention your experience with cloud-native pipelines and any innovative projects you've worked on that align with our mission in the insurance tech space.
Demonstrate Your Leadership Skills: Since this role involves mentoring a team, share examples of how you've led or supported others in your previous roles. We love seeing candidates who can inspire and guide their peers!
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’re considered for this exciting opportunity!
How to prepare for a job interview at hyperexponential
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your previous projects in detail, especially those that involved Python and cloud-native pipelines. This will show your depth of knowledge and passion for the field.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach complex real-world problems using AI solutions. This is your chance to demonstrate your critical thinking and innovative mindset.
✨Highlight Your Mentorship Experience
Since this role involves mentoring a team of engineers, share specific examples of how you've guided others in the past. Discuss your leadership style and how you foster a collaborative environment that encourages rapid iteration and experimentation.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask the interviewers. Inquire about their current AI initiatives, the team dynamics, and how they measure success in their projects. This shows your genuine interest in the company and the role.
