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- Tasks: Design and develop scalable AI infrastructure and solutions for a global insurance group.
- Company: Join a leading global insurance group based in Greater London.
- Benefits: Competitive salary, career growth support, and a diverse team environment.
- Why this job: Be at the forefront of AI innovation in the commercial insurance sector.
- Qualifications: 3-5 years of experience in MLOps and strong Python skills.
- Other info: Collaborative culture with impactful projects and personal development opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A global insurance group in Greater London seeks an AI Deployment Engineer to design and develop scalable AI infrastructure and solutions. Candidates should have 3-5 years of relevant experience, a strong background in MLOps, and excellent Python skills.
The role offers the opportunity to work collaboratively within a diverse team pushing the boundaries of AI in the commercial insurance sector, contributing to impactful projects while receiving support for personal career growth.
Senior AI Deployment & Platform Engineer in London employer: Howden Group Holdings
Contact Detail:
Howden Group Holdings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Deployment & Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and insurance sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects or any AI solutions you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to AI deployment and Python. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over others. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior AI Deployment & Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps 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 Team Spirit: Since we value collaboration, mention any experiences where you’ve worked in diverse teams. Highlight how you’ve contributed to group projects and what you learned from those experiences.
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 in the AI space!
How to prepare for a job interview at Howden Group Holdings
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss specific tools and frameworks you've used, as well as how you've implemented them in past projects. This will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. You might be asked to solve a coding problem or explain how you've used Python in your previous roles. Practising common algorithms or data manipulation tasks can really help you shine.
✨Understand the Insurance Sector
Familiarise yourself with how AI is transforming the commercial insurance sector. Research recent trends and challenges in the industry, and think about how your skills can contribute to solving these issues. This will show your genuine interest in the role and the company.
✨Emphasise Team Collaboration
Since the role involves working within a diverse team, be prepared to discuss your experiences collaborating with others. Share examples of how you’ve successfully worked in teams, tackled challenges together, and contributed to a positive team dynamic.
