At a Glance
- Tasks: Design and deploy cutting-edge AI systems for major organisations.
- Company: Innovative AI scale-up with a collaborative and ambitious culture.
- Benefits: Competitive salary, shares, hybrid work, and growth opportunities.
- Other info: Work on high-impact projects with excellent career advancement potential.
- Why this job: Join a fast-paced environment and make a real impact with AI technology.
- Qualifications: Experience in AI deployment, cloud skills, and client-facing roles.
The predicted salary is between 60000 - 85000 € per year.
AI Infrastructure Engineer | AI Tech Scale-Up | £60,000–£85,000 DOE + Shares | London / Hybrid
We are partnered with an innovative AI scale-up that’s growing rapidly and looking to hire an experienced AI Infrastructure Engineer to help deliver next-generation solutions.
The Company
This ambitious business is at the forefront of applied AI, working with major organisations across a range of industries to design and deploy intelligent systems that solve complex, real-world problems.
With a strong growth trajectory and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking environment.
The Role
As an AI Infrastructure Engineer, you’ll play a central role in building and deploying production-grade AI systems. You’ll be responsible for designing robust architectures, ensuring reliability and scalability, and collaborating directly with enterprise clients to deliver tailored solutions.
This is a technical and client-facing role where you’ll be expected to bring both engineering expertise and the ability to work closely with stakeholders to deliver measurable business value.
The Candidate
Key attributes of the suitable AI Infrastructure Engineer include:
- Deployment Expertise – Experience delivering enterprise AI or data-driven solutions across cloud and/or on-premise environments.
- Cloud & DevOps Skills – Familiarity with at least one major cloud provider and knowledge of DevOps best practices.
- AI & Machine Learning Knowledge – Practical experience building solutions with modern AI tools and frameworks.
- Client-Facing Mindset – Confidence working with both technical teams and business stakeholders.
- Architecture & Delivery Skills – Ability to translate complex business challenges into scalable solutions.
AI Infrastructure Engineer in Nottingham employer: Nicholson Glover
Join a pioneering AI scale-up in London, where innovation meets collaboration. As an AI Infrastructure Engineer, you'll thrive in a dynamic work culture that values your expertise and offers substantial growth opportunities, including participation in company shares. With a focus on high-impact projects and a commitment to employee development, this is an exceptional place for those looking to make a meaningful contribution in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, attend meetups, and join online forums. 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 related to AI infrastructure. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and client-facing scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Infrastructure Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI infrastructure and cloud solutions. We want to see how your skills align with the role, so don’t be shy about showcasing your deployment expertise and any 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 excited about this role and how your background makes you a perfect fit. We love seeing enthusiasm for AI and a clear understanding of our mission.
Showcase Your Client-Facing Skills:Since this role involves working closely with clients, make sure to highlight any experience you have in client-facing roles. We want to know how you’ve successfully collaborated with stakeholders to deliver solutions that add real business value.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Nicholson Glover
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI tools and frameworks. Brush up on your cloud and DevOps skills, as you'll likely be asked about your experience with different environments. Being able to discuss specific projects where you've deployed AI solutions will really impress.
✨Showcase Your Client-Facing Skills
Since this role involves working closely with stakeholders, prepare examples of how you've successfully communicated technical concepts to non-technical clients. Highlight any experiences where you’ve tailored solutions to meet client needs, as this will demonstrate your ability to deliver business value.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design architectures on the spot. Practise explaining your thought process clearly and logically. This will show your problem-solving skills and how you approach complex challenges in real-time.
✨Research the Company Culture
Get a good grasp of the company’s values and culture. Since they pride themselves on collaboration, think of examples from your past work where teamwork led to successful outcomes. Showing that you align with their culture can set you apart from other candidates.
