MLOps Engineer
London
GBP 90K-115K (estimate) Mid-level Full Time Found 9d ago
Tasks
- Build and deploy ML software and infrastructure
- Collaborate with engineers and data scientists
- Create scalable ML solutions
- Define standards for ML deployment
- Ensure project feasibility and impact
- Lead technical scope and architecture decisions
- Translate ML concepts for stakeholders
Perks/Benefits
Skills/Tech-stack
AWS | Architecture | Azure | Cloud Platforms | Communication | Docker | GCP | Kubernetes | ML Lifecycle | Model operationalisation | Probability | PyTorch | Python | Scikit-learn | Security | Software Engineering | Statistics | TensorFlow
Education
Roles
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