Senior MLOps Engineer
- Hiring Organisation
- 55 Exec Search
- Location
- Manchester Area, United Kingdom
facing services • Building and owning end-to-end ML pipelines (training → validation → deployment) • Creating CI/CD pipelines for models, not just code • Designing low-latency, high-availability inference infrastructure • Monitoring live models for drift, performance drops, and failures • Scaling ML systems as pilot customers onboard • Working closely … orchestration (Docker, Kubernetes or ECS) • AWS experience (e.g. ECS, S3, SageMaker, Lambda) • CI/CD for ML workflows • Infrastructure as Code Nice to have: • Low-latency/real-time ML systems • Model monitoring & observability (Prometheus, Grafana, Datadog) • A/B testing or canary deployments for ML models • Security ...