Machine Learning Engineer

JR United Kingdom; Mansfield; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

A well-funded tech company in the Nottingham area is seeking a Machine Learning Engineer to design and build AI-powered automation tools. This full-time hybrid role involves collaborating with cross-functional teams to deliver intelligent systems that optimize workflows and impact the financial service sector. Candidates should have strong backend and ML experience and a passion for innovation.

Benefits

Competitive salary with equity/options

Work on cutting-edge AI challenges

Join a high-performing, ambitious team

Qualifications

• 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.

Responsibilities

• Design, build, and deploy ML-powered features, agents, and APIs.
• Build production-level backend and microservices in Python and TypeScript.
• Contribute to system architecture and infrastructure for scale.

Skills

Problem-solving

Data modelling

Communication

Tools

Python

TypeScript

AWS

PostgreSQL

MongoDB

Job description

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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.

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Created on 31/05/2025 by JR United Kingdom