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Machine Learning Engineer

Digital Waffle

Nottingham

Hybrid

GBP 50,000 - 70,000

Full time

4 days ago
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Job summary

A leading tech company is seeking a Machine Learning Engineer to join its innovative team in Nottingham. You will design and develop intelligent systems that automate complex workflows in financial services, utilizing cutting-edge AI technologies. This pivotal role involves collaboration with cross-functional teams to deliver impactful AI solutions in a high-paced R&D environment.

Benefits

Equity/options available
Competitive salary
Work on innovative AI challenges
Collaboration with a high-performing team

Qualifications

  • 8+ years of software engineering experience with ML focus.
  • Proficiency in Python and/or TypeScript.
  • Experience with LLMs or orchestration frameworks.

Responsibilities

  • Design and deploy ML-powered features and APIs.
  • Build production-level backend systems.
  • Contribute to system architecture for performance.

Skills

Machine Learning
Backend Development
Data Modelling
Problem-Solving
Communication

Tools

Python
TypeScript
LLMs
AWS
PostgreSQL
MongoDB

Job description

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 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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