AI Engineer
Manchester, United Kingdom
GBP 72K-90K (estimate) Senior-level Full Time
Tasks
- Apply MLOps practices
- Deploy models to production
- Develop agentic workflows
- Ensure reliability of AI solutions
- Implement AI engineering best practices
- Integrate LLMs APIs and data pipelines
- Monitor model performance
- Prototype AI use cases
- Refine requirements with stakeholders
Perks/Benefits
- Employee support for caregiving responsibilities
- Family-friendly work environment
- Flexible working options
- Hybrid work environment
Skills/Tech-stack
API Integration | AWS | Agentic AI | Azure | CI/CD | Cloud Platforms | Cloud platform | Data Pipelines | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Model Monitoring | Model versioning | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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