At a Glance
- Tasks: Lead the transition of ML models to scalable production services and manage the full lifecycle.
- Company: The Sage Group plc, a leader in innovative technology solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
- Why this job: Make a significant impact by driving cutting-edge ML projects in a dynamic environment.
- Qualifications: Experience in ML engineering and strong skills in software integration and cloud management.
The predicted salary is between 60000 - 80000 £ per year.
The Sage Group plc is seeking a Senior ML Engineer to take technical ownership of the production ML environment in a hybrid Newcastle-based role. You will drive the transition of experimental models to scalable, observable production services, owning the full lifecycle from automated training pipelines to real-time inference clusters and production-grade software integration.
You will lead the design of CT/deployment pipelines, implement robust telemetry, and manage cloud costs with modern deployment.
We think you need these skills to ace Senior ML Engineer: Production ML & Platform Lead in Newcastle upon Tyne
Machine Learning
Production ML Environment Management
Automated Training Pipelines
Real-Time Inference Clusters
Software Integration
CT/Deployment Pipeline Design
Telemetry Implementation
