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For Companies At a Glance
- Tasks: Lead the design of scalable AI/ML infrastructure and deploy cloud solutions.
- Company: A top digital-first creative agency in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact on global projects.
- Qualifications: Extensive experience in cloud deployment, Docker, Terraform, and strong communication skills.
- Other info: Collaborative environment with a commitment to cutting-edge technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital-first creative agency in London is seeking an experienced Lead ML+DevOps Engineer. The role demands extensive experience in cloud deployment and Docker, as well as proficiency in Terraform and streaming data platforms.
The ideal candidate must demonstrate strong problem-solving and communication skills, capable of conveying technical concepts clearly.
Join a team committed to scalability and reliability in designing AI/ML infrastructure, contributing to high-impact solutions for global clients.
Lead ML & DevOps Engineer: Cloud & Scalable AI in London employer: Code and Theory
Contact Detail:
Code and Theory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML & DevOps Engineer: Cloud & Scalable AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those involving cloud deployment, Docker, and Terraform. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle technical questions and explain your thought process clearly. Remember, communication is key, so practice articulating complex concepts in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead ML & DevOps Engineer: Cloud & Scalable AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud deployment, Docker, and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing your 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/ML infrastructure and how your problem-solving skills can contribute to our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since the role requires clear communication of technical concepts, consider including examples in your application where you've successfully explained complex ideas to non-technical stakeholders. We love seeing that ability!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Code and Theory
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud deployment, Docker, Terraform, and streaming data platforms. Brush up on your technical skills and be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Problem-Solving Skills
Prepare to share examples of complex problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and creativity.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. The interviewers will want to see how well you can convey your ideas to both technical and non-technical team members, so focus on clarity and confidence in your communication.
✨Align with Their Vision
Research the agency’s projects and values. Be ready to discuss how your experience aligns with their commitment to scalability and reliability in AI/ML infrastructure. Showing that you understand their goals will set you apart from other candidates.
