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For Companies At a Glance
- Tasks: Design and build ML-powered features and intelligent systems for automation.
- Company: Join a high-growth tech company revolutionising AI in financial services.
- Benefits: Enjoy a competitive salary, hybrid work, and equity options.
- Why this job: Work on cutting-edge AI challenges with real-world impact in a collaborative environment.
- Qualifications: 5+ years in software engineering with strong ML or backend focus; Python/TypeScript proficiency required.
- Other info: Ideal for those passionate about AI, automation, and innovative technology.
The predicted salary is between 48000 - 72000 £ per year.
A well-funded, high-growth tech company is building the next generation of AI-powered automation tools—reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a Machine Learning Engineer to help design and build intelligent systems that make that future a reality. This is a full-time hybrid role, based in the Nottingham area, with regular in-office collaboration.
Salary: £60,000 - £75,000
The Role
You’ll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI applications in a production environment. You’ll work in a fast-paced R&D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery.
What You’ll Be Doing
- Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks
- Build production-level backend and microservices in Python and TypeScript
- Work with product and engineering teams to shape models, services, and system behaviour
- Contribute to system architecture and infrastructure for scale, observability, and performance
- Explore and implement LLMs, prompt engineering, and AI orchestration frameworks
- Take ownership of features end-to-end, from design to deployment and monitoring
What They’re Looking For
- 5+ years of software engineering experience, with strong ML or backend focus
- Proficiency in Python and/or TypeScript, and experience with production-grade systems
- Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.)
- Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs
- Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB)
- Problem-solver who can reason about complex systems and deliver clean, scalable code
- Excellent communication skills and ability to collaborate across technical and non-technical teams
Nice to Have
- Hands-on experience with agentic workflows or autonomous AI systems
- Background in data engineering or database architecture
- Side projects, open-source contributions, or hobbyist builds involving AI/ML
- Interest in rapid prototyping, automation, and cutting-edge AI tooling
What’s on Offer
- Competitive salary with equity/options available
- Hybrid working from a base in the East Midlands, with in-office collaboration
- Work on cutting-edge AI challenges with real-world impact
- Join a high-performing, ambitious team backed by leading investors
- Opportunity to shape intelligent products from the ground up
This is a great opportunity for a machine learning engineer or backend AI developer who wants to work on high-impact, production-ready AI tools at the edge of innovation.
Artificial Intelligence Engineer (Nottingham) employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer (Nottingham)
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and AI orchestration frameworks. Being able to discuss recent developments or your own experiences with tools like OpenAI or LangChain during interviews can set you apart from other candidates.
✨Tip Number 2
Showcase any side projects or contributions to open-source AI/ML initiatives. This demonstrates your passion for the field and your ability to apply your skills in real-world scenarios, which is highly valued by employers.
✨Tip Number 3
Prepare to discuss your experience with cloud infrastructure, particularly AWS. Be ready to explain how you've used it in past projects, as this knowledge is crucial for building scalable systems in the role.
✨Tip Number 4
Practice articulating complex technical concepts in simple terms. Since you'll be collaborating with both technical and non-technical teams, being able to communicate effectively across different audiences will be a key asset in your application.
We think you need these skills to ace Artificial Intelligence Engineer (Nottingham)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering experience, particularly in machine learning and backend development. Emphasise your proficiency in Python and TypeScript, and include any relevant projects or roles that showcase your skills in building production-grade systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your experience with LLMs, AI agents, or orchestration frameworks, and how you can contribute to their ambitious goals. Be specific about your problem-solving abilities and your experience in collaborative environments.
Showcase Relevant Projects: If you have side projects, open-source contributions, or hobbyist builds involving AI/ML, mention them in your application. This demonstrates your passion for the field and your hands-on experience with cutting-edge technologies, which is highly relevant for this role.
Highlight Communication Skills: Since the role requires collaboration across technical and non-technical teams, make sure to highlight your excellent communication skills. Provide examples of how you've successfully worked with diverse teams in the past, showcasing your ability to convey complex ideas clearly.
How to prepare for a job interview at Digital Waffle
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and TypeScript, as well as any production-grade systems you've worked on. Highlight specific projects where you implemented machine learning features or built backend systems, and be ready to explain your thought process.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in complex systems. Prepare examples of challenges you've faced in previous roles and how you approached them, focusing on your reasoning and the solutions you implemented.
✨Familiarise Yourself with LLMs and AI Frameworks
Since the role involves working with LLMs and AI orchestration frameworks, brush up on your knowledge of these technologies. Be ready to discuss any hands-on experience you have with tools like OpenAI or LangChain, and how you've applied them in real-world scenarios.
✨Emphasise Collaboration Skills
This position requires collaboration with both technical and non-technical teams. Prepare to share examples of how you've successfully worked in cross-functional teams, highlighting your communication skills and ability to bridge gaps between different stakeholders.
