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- Tasks: Lead a talented team to develop innovative AI solutions using Python and Terraform.
- Company: Top consulting and digital services provider in the UK with a focus on innovation.
- Benefits: Competitive salary, great perks, and opportunities for professional growth.
- Why this job: Join a collaborative environment and drive cutting-edge AI innovation.
- Qualifications: Proficiency in Python, Terraform, AWS, and leadership experience in AI.
- Other info: Exciting role with potential for significant impact in the tech industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading consulting and digital services provider in the UK seeks a Lead AI Engineer to guide a high-performing team. This role combines deep technical expertise and strategic leadership, focusing on delivering cutting-edge AI solutions.
The candidate should have proficiency in Python and Terraform, a deep understanding of AWS, and experience in leadership and mentoring within AI domains.
Offering a competitive salary and multiple benefits, this position aims at driving innovation in a collaborative environment.
Lead AI Engineer — LLM & Cloud Platform in Edinburgh employer: Capita plc
Contact Detail:
Capita plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer — LLM & Cloud Platform in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Terraform, and AWS. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Think about how you've mentored others or led projects in the past, as these experiences will be key in demonstrating your fit for the role.
✨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 Lead AI Engineer — LLM & Cloud Platform in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in Python, Terraform, and AWS. We want to see how your skills align with the role of Lead AI Engineer, so don’t hold back on showcasing your experience!
Leadership Matters: Since this role involves guiding a high-performing team, share examples of your leadership and mentoring experiences. We love to see how you've inspired others and driven innovation in your previous roles.
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or achievements that relate to the job description. This shows us you’re genuinely interested and have done your homework!
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. Plus, it’s super easy!
How to prepare for a job interview at Capita plc
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Terraform skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past. Think about times when you mentored others or drove a project to success. This role is all about guiding a high-performing team, so highlight your leadership style and approach.
✨Understand AWS Like the Back of Your Hand
Since this position requires a deep understanding of AWS, make sure you can talk about various services and how they can be leveraged for AI solutions. Be prepared to discuss your experience with cloud architecture and deployment.
✨Emphasise Collaboration and Innovation
This role is set in a collaborative environment, so think about how you've worked with cross-functional teams in the past. Share examples that demonstrate your ability to drive innovation while working closely with others.
