AWS Engineer - Fully Remote in London
AWS Engineer - Fully Remote

AWS Engineer - Fully Remote in London

London Freelance Home office (partial)
Burns Sheehan

At a Glance

  • Tasks: Join exciting AI-driven projects and build scalable solutions using cutting-edge technology.
  • Company: Dynamic tech client focused on innovation and collaboration.
  • Benefits: Competitive daily rate, flexible remote work, and a chance to work with AI technologies.
  • Other info: Initial 6-month contract with potential for growth and development.
  • Why this job: Make an impact in the AI field while working with LLMs and other cloud platforms.
  • Qualifications: Experience in AI and cloud technologies; CoPilot experience is a bonus.

A client of ours is looking for a Contract AI Engineer to join on an initial 6-month contract.

You’ll be working on AI-driven projects, with a strong focus on LLMs and building scalable solutions. Azure is preferred, but experience across other cloud platforms is also welcomed. CoPilot experience is a nice-to-have but not essential.

AWS Engineer - Fully Remote in London employer: Burns Sheehan

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions to AI-driven projects will be recognised and rewarded. With flexible remote working options and opportunities for professional growth, this role as an AI Engineer allows you to thrive in a supportive environment while working on cutting-edge technology in London.
Burns Sheehan

Contact Detail:

Burns Sheehan Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS Engineer - Fully Remote in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI and cloud space. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on a role that’s perfect for you.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving LLMs or Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common AI and cloud-related questions. Practice explaining your past projects and how they relate to the job description. Confidence is key, so let your passion for AI shine through!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy and straightforward – just a few clicks and you’re in!

We think you need these skills to ace AWS Engineer - Fully Remote in London

AI Engineering
Azure
LLMs (Large Language Models)
Cloud Computing
Scalable Solutions
CoPilot
Problem-Solving Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AI, Azure, and LLMs. We want to see how your skills match 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 the perfect fit for this AI Engineer role. We love seeing enthusiasm and a clear understanding of the job.

Showcase Your Projects: If you've worked on any AI-driven projects or have experience with CoPilot, make sure to mention them. We’re keen to see real examples of your work that demonstrate your capabilities.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates!

How to prepare for a job interview at Burns Sheehan

✨Know Your Tech Inside Out

Make sure you’re well-versed in AI technologies, especially LLMs and Azure. Brush up on your knowledge of cloud platforms and be ready to discuss how you've used them in past projects.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in AI projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.

✨Familiarise Yourself with CoPilot

Even if CoPilot experience isn’t essential, having a basic understanding can set you apart. Look into its functionalities and think about how it could enhance your work in AI engineering.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s AI projects and their future direction. This shows your genuine interest and helps you assess if the role aligns with your career goals.

AWS Engineer - Fully Remote in London
Burns Sheehan
Location: London

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