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.
- 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 London 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 competitive compensation and a dynamic work culture that fosters collaboration and creativity. Employees are encouraged to grow their skills in a fast-paced environment, with ample opportunities for professional development and the chance to make a significant impact by deploying cutting-edge AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Applications Specialist in London
✨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 built real AI systems and tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and passion for AI. Let’s get you that call set up!
We think you need these skills to ace AI Applications Specialist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Applications Specialist. Highlight your experience with AI tools like Claude Code and OpenAI Codex, and don’t forget to showcase any real systems you've built. We want to see how you can bring value to our team!
Showcase Your Projects:Include examples of your work that demonstrate your ability to deploy AI systems and automate workflows. Whether it’s a project from university or something you did on your own, we love seeing practical applications of your skills!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experiences and achievements. We appreciate brevity, so get to the point while still showing off your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 talk about past projects where you identified bottlenecks and used AI to streamline processes. Use concrete examples to illustrate how your interventions led to significant improvements in efficiency.
✨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.
✨Be Curious and Engaged
Show your intellectual curiosity by asking insightful questions about the company’s AI initiatives and future plans. This not only demonstrates your interest but also helps you gauge if the company aligns with your career goals.
