Machine Learning Engineer - Intelligent Automation
Location: Belfast (Hybrid)
Eligibility: Must have the right to work in the UK (no sponsorship available)
I am working with a high-growth AI automation company that is launching a brand-new engineering hub in Belfast, and we're searching for Machine Learning Engineers to help build the AI systems that power intelligent, agent-driven software testing.
You'll work at the intersection of data engineering, machine learning, and platform development - turning research ideas into production-ready models and shaping how AI is used across a global automation platform. If you enjoy building real-world ML systems, working with large datasets, and solving complex technical challenges, this is an opportunity to join early and make a real impact.
Why join?
- Join the founding ML team of a brand-new Belfast hub
* Work with cutting-edge AI powering next-generation test automation
* Build production ML systems used by global enterprise customers
* Collaborate with Data Engineers, Software Engineers, and Product teams
* £65k - £85k
What you'll be doing:
- Build, deploy, and optimise machine learning models for intelligent testing and automation
* Work closely with Data Engineering to design and maintain robust feature pipelines
* Experiment with algorithms across NLP, anomaly detection, sequence models, and deep learning
* Monitor model performance and create tools for observability, diagnostics, and evaluation
* Collaborate with software engineering teams to integrate ML into production services
* Contribute to improving MLOps practices, tooling, documentation, and automation workflows
* Help shape the technical direction for ML within the new Belfast hub
What you'll bring:
- Strong experience developing ML models using Python and modern frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
* Experience deploying ML models into production environments
* Solid understanding of data structures, feature engineering, and model lifecycle management
* Comfort working with cloud platforms (GCP ideal, AWS/Azure welcome)
* Hands-on experience with containerisation (Docker/Kubernetes)
* Strong collaboration skills and the ability to explain ML concepts to non-experts
* A pragmatic, experiment-driven mindset focused on shipping reliable solutions
Interested?
If you'd like to join a growing AI team building genuinely impactful systems, reach out to Justin Donaldson for a confidential chat or send your CV to learn more.