ML Engineer
Role details
Job location
Tech stack
Job description
If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one., This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business., * Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
Requirements
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
Benefits & conditions
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
