Senior AI and Data Engineer
Tasks
- Bring relevant AI ecosystem innovations into production
- Build and maintain data pipelines and lakehouse infrastructure
- Build evaluation frameworks for system quality
- Design build deploy production data and AI systems
- Gather requirements with business teams define success criteria
- Mentor others and improve code quality testing and operational excellence
- Own technical decisions across data modeling pipeline design retrieval evaluation and deployment
- Run discovery analyze processes and pain points scope point solutions
Perks/Benefits
- 35-hour week
- Cashback and savings portal
- Cycle to work scheme
- Electric vehicle scheme
- Enhanced family leave
- Flexitime
- Free mortgage advice
- Group life assurance
- Health cash plans
- Holiday entitlement
- Internal Mentoring Coaching and Buddying Schemes
- Leadership development programmes
- Pension scheme
- Private medical insurance
- Professional qualifications support
- Regular Check Ins and Performance Conversations
- Season ticket loan
Skills/Tech-stack
AI Foundry | Agentic Workflows | Azure AI | Azure AI Foundry | CI/CD | Copilot Studio | Data Modeling | Data Pipelines | Databricks | Delta | Deployment | ELT | ETL | Evaluation | Function Calling | GDPR | Lakehouse | Language Models | Large Language Models | MCP | Microsoft 365 | Microsoft Teams | Observability | Power Platform | Prompt engineering | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Structured outputs | Testing | Tool use | Unity Catalog | Version control | Web development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Data Engineer | Engineer | Senior AI Engineer | Senior Data Engineer
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