At a Glance
- Tasks: Deploy AI systems and automate processes across various departments.
- Company: Fast-moving deep-tech company revolutionising the industrial sector.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Ideal for graduates or early-career professionals from top universities.
- Why this job: Join a cutting-edge team and make a real impact with AI technology.
- Qualifications: Experience with AI tools and strong technical skills required.
The predicted salary is between 80000 - 90000 £ per year.
We're working with a fast-moving deep-tech company building category-defining hardware in one of the largest industrial sectors in the world. To move faster than anyone else, they are aggressively integrating AI across every layer of the business, from engineering and finance to operations and outreach. They need a highly technical, systems-minded operator who lives and breathes AI tools and knows how to deploy them at scale inside a real company. This is not a "prompt engineer" role. This is about building real systems that drive leverage across the business.
Responsibilities of the role:
- Deploy AI systems across the company, building and managing agent workflows with tools like Claude Code, Codex and similar, and automating internal processes across engineering, finance, operations and outreach.
- Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters).
- Own the automation stack, implementing workflows with Clay, n8n, OpenClaw and similar, and integrating APIs, databases and internal tools into cohesive systems.
- Drive internal leverage, identify bottlenecks, and eliminate them using AI, so small teams can operate like much larger ones.
Requirements to be successful:
- Deep hands-on experience with Claude Code, OpenAI Codex (or similar), Clay, n8n, and OpenClaw (or equivalent agent frameworks).
- A proven track record of building real AI systems (not just demos), deploying multi-step automated workflows, and running agents in production.
- Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly.
- Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with a background in Mathematics, Computer Science, Physics, Engineering or related.
- Exceptionally sharp, fast-moving, intellectually curious. You use AI tools every day and push them to their limits.
- Ideally with experience building autonomous research agents that gather, synthesise and structure data at scale, fully automated outbound pipelines (sourcing, enrichment, messaging, follow-up), and AI-driven financial modelling workflows.
If you think this role could be a good fit, send your CV and any work examples over and we can set up a call.
AI Applications Specialist in Nottingham employer: Digital Waffle
Join a pioneering deep-tech company that is at the forefront of AI integration within one of the largest industrial sectors globally. With a strong emphasis on innovation, this remote role offers a collaborative work culture that encourages technical growth and creativity, providing employees with the opportunity to build impactful AI systems that drive efficiency across various business functions. Enjoy competitive compensation, a supportive environment for professional development, and the chance to work with cutting-edge technology in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Applications Specialist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues 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 AI projects and workflows. This is your chance to demonstrate your hands-on experience with tools like Claude Code and OpenAI Codex. Make it easy for employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled real-world challenges using AI systems. Practice common interview questions and think about how you can highlight your unique experiences.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to land that dream job!
We think you need these skills to ace AI Applications Specialist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Applications Specialist role. Highlight your hands-on experience with AI tools like Claude Code and OpenAI Codex, and showcase any relevant projects that demonstrate your ability to build real systems.
Showcase Your Technical Skills:Don’t just list your skills; show us how you’ve used them in real-world scenarios. Include specific examples of how you've deployed multi-step automated workflows or built agent-driven infrastructure. We want to see your technical prowess in action!
Include Work Examples:If you have any work examples that illustrate your experience with AI systems, make sure to include them. This could be anything from a project you led to a paper you wrote. It helps us understand your capabilities better!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Tools Inside Out
Make sure you’re well-versed in the specific AI tools mentioned in the job description, like Claude Code and OpenAI Codex. Prepare to discuss your hands-on experience with these tools and how you've deployed them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've identified bottlenecks in processes and used AI to eliminate them. Think of specific instances where your interventions made a significant impact on efficiency or productivity.
✨Demonstrate Technical Proficiency
Brush up on your technical skills, especially around APIs, scripting, and system design. You might be asked to solve a technical problem on the spot, so practice explaining your thought process clearly and confidently.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to design a multi-agent system or automate a workflow. Practice articulating your approach to these challenges, focusing on how you would leverage AI to drive internal leverage and efficiency.
