MLOps Engineer

The role

You will own how machine learning and AI run in production. You will turn Data Scientists' models into live, reliable services and build secure foundations for AI tools and agents to use data.

What you will do

• Deploy, automate, monitor and retrain ML models.
• Set MLOps standards including CI/CD, model versioning and reusable patterns.
• Build infrastructure for AI tools and agents to access data securely.
• Maintain GCP-based data platform and AWS infrastructure.
• Monitor models, pipelines, AI usage and platform services for drift, reliability and cost.
• Apply controls to ML and AI workloads including sensitive-data access, lineage and reproducibility.

Required qualifications

• Strong Python with proven experience deploying, serving and monitoring ML models in production.
• Hands-on experience with GCP and its ML and data services.
• Docker and Kubernetes.
• CI/CD and infrastructure-as-code.
• Experience building observability for ML or data systems: metrics, alerting and cost monitoring.
• A security-minded approach to data access and secrets management.

Nice to have

• Streaming or event-driven systems for real-time inference.
• LLM and agent infrastructure (MCP, retrieval-augmented generation, vector stores).
• Feature stores, model registries and drift detection.
• AWS experience, particularly managed Airflow (MWAA).

Benefits

• Competitive salary, annual bonus & equity scheme
• Health, wellbeing and learning support
• Gym membership
• Smart Tech Scheme
• Cycle Scheme
• Birthday/special day leave
• buy & sell holiday scheme
• 1 week's paid charity leave

Before you apply

• Screening call with one of our Talent Acquisition Partners
• Interview with the hiring manager and members of the team
• Final stage with a senior stakeholder
• This role isn’t open to visa sponsorship applications.

About the company

Checkatrade is the UK’s leading platform for finding a tradesperson. They help homeowners get jobs done right and help tradespeople grow their business.