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- Tasks: Design and develop scalable AI infrastructure while collaborating with engineers and data scientists.
- Company: Leading global insurance group with a focus on innovation and collaboration.
- Benefits: Competitive salary, supportive team culture, and opportunities for professional growth.
- Why this job: Join a dynamic team to innovate AI applications and make a real impact.
- Qualifications: Experience in MLOps, cloud engineering, and strong Python skills.
- Other info: Exciting opportunity for career advancement in a thriving industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading global insurance group is seeking an experienced AI Deployment Engineer in London. You will be responsible for designing and developing scalable AI infrastructure, maintaining production systems, and collaborating with engineers and data scientists.
The ideal candidate will have solid experience in MLOps, cloud engineering, and a strong background in Python. This position will allow for innovation in AI applications within a supportive team culture focused on collaboration and excellence.
Senior AI Deployment Engineer for Enterprise AI Platform in London employer: Howden
Contact Detail:
Howden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Deployment Engineer for Enterprise AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend 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 AI projects, especially those involving MLOps and cloud engineering. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI deployment. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Deployment Engineer for Enterprise AI Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps, cloud engineering, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working closely with engineers and data scientists, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you fit into that dynamic!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Howden
✨Know Your AI Stuff
Make sure you brush up on your knowledge of MLOps and cloud engineering. Be ready to discuss specific projects where you've designed scalable AI infrastructure, as this will show your hands-on experience and expertise.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a coding problem or explain how you've used Python in previous roles, so have some examples ready that highlight your coding prowess.
✨Collaboration is Key
Since the role involves working closely with engineers and data scientists, think of examples that showcase your teamwork skills. Be ready to discuss how you've successfully collaborated on projects and contributed to a supportive team culture.
✨Innovate and Inspire
This position encourages innovation, so come prepared with ideas on how you could improve AI applications within the company. Showing your enthusiasm for pushing boundaries and thinking outside the box will definitely impress the interviewers.
