Machine Learning Engineer

This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Digital Waffle

Co-Founder @ Digital Waffle - The go-to partner when scaling your team within Tech, Digital, Marketing & Data - without the usual bullsh*t.

A well-funded, high-growth tech company is building the next generation ofAI-powered automation tools—reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for aMachine Learning Engineerto help design and build intelligent systems that make that future a reality.

This is afull-time hybrid role, based in theNottingham area, with regular in-office collaboration.

The Role

You'll be a key member of the engineering team, focused on buildingLLM-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 inPython 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

• 8+ years of software engineering experience, with strong ML or backend focus
• Proficiency inPython and/or TypeScript, and experience with production-grade systems
• Familiarity withLLMs, AI agents, or orchestration frameworks(OpenAI, Anthropic, LangChain, etc.)
• Strong grasp ofdata modelling, cloud infrastructure (preferably AWS), and modern APIs
• Experience withrelational 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 withagentic workflows or autonomous AI systems
• Background indata engineeringor 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 withequity/optionsavailable
• Hybrid working from a base in theEast 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 amachine learning engineer or backend AI developerwho wants to work on high-impact, production-ready AI tools at the edge of innovation.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• IndustriesSoftware Development, Technology, Information and Media, and Information Services

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