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- Tasks: Join exciting AI-driven projects and build scalable solutions with 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 learning opportunities.
- Why this job: Make an impact in the AI field while developing your skills in a supportive environment.
- Qualifications: Experience in AI, Azure, or other cloud platforms; 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.
Duration: 6 months
Location: London (1–2 days per week in office)
Technology: AI / Azure (open to other clouds) / LLMs / CoPilot
Performance Engineer - Remote in London employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Engineer - Remote in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and cloud space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving LLMs or Azure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. We recommend practising coding challenges and discussing your past projects to highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Performance Engineer - Remote in London
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 you've worked on!
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 Contract AI Engineer role. We love seeing your passion for AI-driven projects and how you can contribute to our team.
Showcase Your Cloud Experience: If you’ve worked with other cloud platforms besides Azure, make sure to mention that! We’re open to diverse experiences, so let us know how your background can bring value to our projects.
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 important updates from our team!
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 previous roles and how you tackled them. Use examples that highlight your ability to build scalable solutions and work with AI-driven projects.
✨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 as an AI Engineer.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and their goals. This shows your genuine interest and helps you gauge if the role aligns with your career aspirations.