At a Glance
- Tasks: Design and optimise AI systems for serverless platforms, tackling complex challenges.
- Company: Leading telecommunications company in Edinburgh with a focus on innovation.
- Benefits: 12-month PAYE contract with potential extensions and competitive pay.
- Why this job: Join a dynamic team and shape the future of AI infrastructure.
- Qualifications: Degree in Computer Science or related field; strong programming skills in Python or C++.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 Β£ per year.
AI Infrastructure Engineer
Based in Edinburgh, United Kingdom. This is an initial 12-month PAYE contract with strong likelihood of further extensions.
Responsibilities
- Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability.
- Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing.
- Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and integrate them into production systems and serverless infrastructure.
- Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies.
- Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks.
Requirements
- Education: Bachelor\βs or Master\\\βs degree in Computer Science or a related technical field. (PhD preferred but not required).
- Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems.
- Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes).
- Good programming skills, master of at least one language, such as Python, and/or C/C++.
- Good communication and teamwork skills.
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)
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AI Infrastructure Engineer employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Infrastructure Engineer
β¨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 put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with distributed systems and serverless platforms. Confidence is key!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace AI Infrastructure Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the AI Infrastructure Engineer role. Highlight your experience with distributed systems, cloud computing, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: If you've worked on any projects related to AI or serverless platforms, be sure to include them! We love seeing proof-of-concept prototypes or any innovative solutions you've developed. It gives us a glimpse of your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI infrastructure and how you can contribute to our team. Keep it concise but engaging β we want to feel your enthusiasm!
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process and ensures your application gets to the right people quickly. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at European Tech Recruit
β¨Know Your Tech Inside Out
Make sure you brush up on your knowledge of distributed systems, cloud computing, and serverless platforms. Be ready to discuss how you've used Python or C++ in past projects, as well as any experience with Docker or Kubernetes. This will show that you're not just familiar with the concepts but can apply them practically.
β¨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in AI infrastructure or distributed computing. Think of examples where you developed innovative solutions or optimised existing systems. This will demonstrate your ability to tackle complex technical challenges head-on.
β¨Teamwork Makes the Dream Work
Since this role involves working closely with cross-functional teams, be ready to share experiences where collaboration was key to your success. Highlight how you communicate effectively with team members and contribute to a positive team dynamic.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions! Inquire about the companyβs current AI projects, their approach to resource scheduling, or how they envision the future of their AI infrastructure. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.