Machine Learning Engineer

Digital Waffle; Nottingham; Hybrid; GBP 41,000 - 47,000; Full time

Job summary

An innovative tech company is seeking a talented Machine Learning Engineer to join their dynamic team in Nottingham. In this full-time hybrid role, you'll leverage your expertise in backend development and machine learning to design and implement cutting-edge AI-powered automation tools. Collaborating with cross-functional teams, you'll tackle complex challenges and contribute to the architecture of intelligent systems that will revolutionize the financial services sector. This is a unique opportunity to work on impactful projects in a fast-paced environment, driving innovation and delivering real-world solutions.

Benefits

Equity/Options

Hybrid Working

Cutting-Edge AI Challenges

High-Performing Team

Opportunity for Innovation

Qualifications

• 8+ years of software engineering experience with a strong ML focus.
• Proficiency in Python and TypeScript for production-grade systems.

Responsibilities

• Design and deploy ML-powered features and APIs.
• Build production-level backend systems in Python and TypeScript.

Skills

Machine Learning

Backend Development

Python

TypeScript

Data Modelling

Cloud Infrastructure (AWS)

Problem Solving

Excellent Communication

Education

Bachelor's Degree in Computer Science or related field

Tools

OpenAI

Anthropic

LangChain

PostgreSQL

MongoDB

Job description

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Base pay range

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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 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.

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

• 8+ 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development, Technology, Information and Media, and Information Services

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