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- Tasks: Design and operationalise advanced AI systems for real-world applications.
- Company: Global consultancy firm with a focus on innovation and technology.
- Benefits: Competitive salary, flexible locations, and opportunities for professional growth.
- Why this job: Lead the charge in scaling AI solutions that drive business value.
- Qualifications: Experience in MLOps and Generative AI frameworks is essential.
- Other info: Dynamic work environment with potential for travel across major UK cities.
The predicted salary is between 54000 - 84000 £ per year.
A global consultancy firm in Birmingham is seeking a Lead AI Engineer to design and operationalize advanced AI systems. This role focuses on bridging AI prototypes to live solutions, ensuring responsible scaling and embedding AI solutions for business value.
Candidates should have experience in MLOps, Generative AI frameworks, and deploying solutions across cloud platforms like Azure and AWS. A proven record in delivering AI solutions from concept to scale is essential.
The role may require flexibility with office locations in London, Manchester, or Glasgow.
Lead AI Engineer: Scale GenAI & MLOps Solutions in Birmingham employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer: Scale GenAI & MLOps Solutions in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects and Generative AI frameworks. We want to see how you've taken concepts to scale, so make sure your work is front and centre when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of cloud platforms like Azure and AWS. We suggest practising common interview questions related to AI systems and operationalising solutions, so you’re ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Keep an eye out for roles that match your skills and experience, and get your application in!
We think you need these skills to ace Lead AI Engineer: Scale GenAI & MLOps Solutions in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MLOps and Generative AI frameworks. We want to see how you've taken AI solutions from concept to scale, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Lead AI Engineer role. Share specific examples of your work with cloud platforms like Azure and AWS.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've successfully bridged AI prototypes to live solutions. We love seeing how you tackle challenges and deliver business value through AI!
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 Capgemini
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI frameworks and MLOps. Be ready to discuss specific projects where you've taken AI solutions from concept to scale, especially in cloud environments like Azure and AWS. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles. Think about times when you had to bridge prototypes to live solutions and how you ensured responsible scaling. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Vision
Research the consultancy firm and understand their approach to AI and business value. Tailor your answers to align with their goals and values. This shows that you’re genuinely interested in the role and can contribute to their mission effectively.
✨Be Ready for Flexibility Questions
Since the role may require flexibility with office locations, be prepared to discuss your willingness to work in different cities like London, Manchester, or Glasgow. Highlight any past experiences where you’ve adapted to new environments or teams, as this will reflect your versatility.
