Senior AI / LLM Engineer
London, England, United Kingdom
GBP 70K-92K (estimate) Senior-level Full Time
Tasks
- Build and scale AI solutions on Azure AI stack
- Champion AI engineering best practices and governance
- Create reusable AI infrastructure
- Define human in the loop system patterns
- Design and build LLM-powered systems
- Design and implement LLM evaluation frameworks
- Develop agentic workflows
- Embed AI risk controls with Trust and Security
- Enable horizontal reuse across teams
- Implement AI safety guardrails
- Optimize systems for performance cost and reliability
- Support inclusive and responsible AI development
Perks/Benefits
- Discretionary bonus scheme
- Employee discount
- Employee sample sales
- Flexible benefits allowance
- Paid annual leave
- Personalised learning
- Private medical care
Skills/Tech-stack
AI Governance | AI Studio | AKS | Agent Orchestration | Azure AI | Azure AI Studio | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure OpenAI | Batching | CI/CD | Caching | Cognitive Services | Content Filtering | Context Management | Cost Optimization | Embeddings | Experiment tracking | Explainability | Fine Tuning | Grounding | Hallucination control | Kubernetes Service | LLMOps | Langchain | MLOps | Machine Learning | Model Evaluation | Model Observability | Model routing | Multi-Agent | Multi-agent orchestration | Performance optimization | Prompt engineering | Python | RAG | Retrieval Pipelines | Semantic Kernel | Structured prompting | Tokenization | Tool use | Transformers | Vector Search
Education
N/A
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