Key skills
AirflowAzureGrafanaKubernetesPrometheusPythonTerraformAIMLNLPAgenticMLOpsPulumiAKSAzure DevOpsCI/CD
About this role
Role Overview
- Own the infrastructure layer that all of Xantura's AI services depend on to operate and scale.
- Be responsible for how ML models and NLP systems are deployed, monitored, and maintained.
- Continuously evolve the platform infrastructure powering all AI services (predictive modelling, NLP, knowledge representation, and agentic AI).
- Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS.
- Ensure all ML systems are transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR.
- Design, build, and maintain production-grade orchestration pipelines (Dagster).
- Contribute to organisation-wide AI capability building, sharing best practice with delivery and consulting teams.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- 4+ years of professional experience in an MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data-intensive systems.
- Strong programming skills and production experience in Python.
- Expertise in Azure-native MLOps, including model endpoints, pipelines, registries, environments, and compute management.
- Clear evidence of practical experience across the following:
- Deploying, scaling, and troubleshooting containerised workload on Kubernetes in production
- Building and maintaining CI/CD pipelines (Azure DevOps or equivalent) for automated testing, building, and deployment of ML services
- Implementing infrastructure-as-code (Terraform, Bicep or Pulumi)
- Implementing monitoring and observability for production systems, including metrics, altering, logging, and dashboarding (e.g. Prometheus, Grafana)
- Pipeline orchestration using Dagster, Airflow, Prefect, or similar
Tech Stack
- Airflow
- Azure
- Grafana
- Kubernetes
- Prometheus
- Python
- Terraform
Benefits
- Competitive salary reviewed annually
- Work for a passionate, mission-driven company solving society’s big problems
- Work flexible hours around life commitments with a focus on delivering company value rather than hours worked
- Ability to work remotely (excluding face-to-face Team Meetings and client meetings)
- Training and development opportunities
- 25 days annual leave (plus bank holidays)
- Company pension
- Private medical insurance
- Generous enhanced parental leave policies
- Cycle to work scheme
- Flu Vaccinations
- Eye Test and contribution towards Glasses for VDU use
- Employee Assistance Programme
- Mental health and wellbeing support
- Remote GP access
- Counselling/therapy
- Physiotherapy
- Medical second opinions