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- Tasks: Lead and implement AI strategies while managing a core team and collaborating with consultants.
- Company: Global health tech company based in the UK, focused on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in health technology by driving AI innovation.
- Qualifications: 5+ years in AI and data engineering, with expertise in Azure AI services.
- Other info: Join a dynamic team dedicated to transforming healthcare through technology.
The predicted salary is between 43200 - 72000 £ per year.
A global health technology company located in the United Kingdom is seeking an experienced AI Delivery Manager to lead and implement AI strategies across the business. The ideal candidate will have over 5 years of experience in AI and data engineering, with strong expertise in Azure AI services. This role involves direct management of a core team and collaboration with external consultants to drive innovation and ensure successful project delivery, following a hybrid working model.
Enterprise AI Delivery Lead — Azure & MLOps in London employer: Convatec
Contact Detail:
Convatec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Delivery Lead — Azure & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on Azure AI services and MLOps. We recommend creating a cheat sheet of key concepts and recent projects you've worked on to showcase your experience effectively.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional thoughts or insights you have about the role to reinforce your interest.
We think you need these skills to ace Enterprise AI Delivery Lead — Azure & MLOps in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data engineering, especially with Azure AI services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 your leadership experience can drive innovation at StudySmarter. Keep it engaging and personal!
Showcase Your Team Management Skills: Since this role involves managing a core team, make sure to highlight your experience in leading teams and collaborating with external consultants. We love seeing examples of successful project delivery under your guidance!
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 Convatec
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and data engineering, especially in relation to Azure AI services. Be prepared to discuss specific projects you've worked on and how you've implemented AI strategies successfully.
✨Showcase Your Leadership Skills
As this role involves managing a core team, be ready to share examples of how you've led teams in the past. Highlight your experience in collaboration with external consultants and how you’ve driven innovation in previous projects.
✨Understand the Hybrid Model
Since the company follows a hybrid working model, think about how you can effectively manage a team both remotely and in-person. Prepare to discuss your strategies for maintaining team cohesion and productivity in such an environment.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current AI initiatives and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
