AI Infrastructure Engineer

AI Infrastructure Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
European Tech Recruit

At a Glance

  • Tasks: Design and implement scalable systems for AI workloads, ensuring high performance.
  • Company: Innovative tech company based in Edinburgh with a focus on AI infrastructure.
  • Benefits: 12-month contract with potential extensions, competitive pay, and collaborative environment.
  • Why this job: Join a team pushing the boundaries of AI technology and make a real impact.
  • Qualifications: Degree in Computer Science or related field; strong programming skills in Python or C++.
  • Other info: Dynamic role with opportunities for growth in cutting-edge AI and cloud technologies.

The predicted salary is between 36000 - 60000 £ per year.

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's or Master's 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.

AI Infrastructure Engineer employer: European Tech Recruit

As an AI Infrastructure Engineer based in the vibrant city of Edinburgh, you will join a forward-thinking team dedicated to pushing the boundaries of AI technology. Our company fosters a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth and development. With a strong focus on employee well-being and a commitment to cutting-edge projects, we provide a unique environment where your contributions can make a meaningful impact.
European Tech Recruit

Contact Detail:

European Tech Recruit Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Infrastructure Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect 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 distributed systems or cloud computing. This gives potential employers a taste of what you can do beyond just your CV.

✨Tip Number 3

Prepare for interviews by brushing up on technical questions related to Python, C++, and distributed systems. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!

✨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 take that extra step to engage with us directly.

We think you need these skills to ace AI Infrastructure Engineer

Distributed Systems
Cloud Computing
Machine Learning Systems
Multi-Agent Systems
Serverless Platforms
Containerization
Docker
Kubernetes
Python
C/C++
Software Development
Communication Skills
Teamwork
Resource Scheduling
Orchestration Mechanisms

Some tips for your application 🫡

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 in Python or C++. We want to see how your background fits with what we're looking for!

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 your skills can contribute to our team. Keep it concise but engaging – we love a good story!

Showcase Your Projects: If you've worked on any projects related to AI, distributed systems, or cloud technologies, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on sharing your achievements!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, it shows us you’re serious about joining the StudySmarter team!

How to prepare for a job interview at European Tech Recruit

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of distributed systems, cloud computing, and AI infrastructure. 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 also apply them practically.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Think of examples where you developed proof-of-concept prototypes or integrated research ideas into production systems. This will demonstrate your ability to think critically and innovate under pressure.

✨Teamwork Makes the Dream Work

Since this role involves working closely with cross-functional teams, be ready to share experiences that highlight your communication and collaboration skills. Discuss how you’ve successfully worked with others to achieve a common goal, especially in tech-related projects.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the technologies they’re currently using, or future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.

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