MLOps Engineer

Description du poste

Powering Great Work We started as the place to find a trusted trade. Now, as we shape the future of home improvement, we're building the tech to transform that landscape for everyone - better products, smarter data, AI where it actually helps - so trades can spend less time on admin and consumers can find someone they trust, first time. That's Powering Great Work, and it's why every team here exists: 🔧 Trades spend less time on admin and more on winning work and growing their business 🏠 Homeowners get a trusted trade, first time, every time 🚀 We get to build products that change homes and lives across the country As our next MLOps Engineer, you'll own how machine learning and AI run in production at Checkatrade. You'll turn our Data Scientists' models into live, reliable services, and build the secure foundations that let AI tools and agents use our data. You'll report to the Head of Data Engineering, in Barcelona (on-site) or London (hybrid). The job, unfiltered: Deploy, automate, monitor and retrain ML models, moving refresh frequency towards real-time where it adds value. Set the MLOps standards for the Data Science team: CI/CD, model versioning and reusable patterns that save everyone reinventing the wheel. Build the infrastructure that lets AI tools and agents (including Claude, MCP services and knowledge bases) access Checkatrade data securely. Help keep our GCP-based data platform (with some infrastructure in AWS) reliable and secure, and chip away at legacy and technical debt. Watch models, pipelines, AI usage and platform services, so drift, reliability and cost issues get caught early. Apply the right controls to ML and AI workloads, including sensitive-data access, lineage and reproducibility. The fit: Strong Python, with proven experience deploying, serving and monitoring ML

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