Lead AI Engineer
Crawley, England, United Kingdom
GBP 72K-109K (estimate) Senior-level Full Time
Tasks
- Build and deploy generative AI and machine learning solutions
- Build and maintain AI platform and LLMOps pipelines
- Build data science platform for enterprise AI use cases
- Create and optimize RAG architectures
- Define coding standards and code review processes
- Design ELT ETL pipelines and data marts
- Design agentic multi agent workflows
- Develop machine learning models and fine tune large language models
- Establish testing frameworks and evaluation metrics
- Guide MVP to production deployment
- Implement evaluation frameworks and automated guardrails
- Lead CI CD pipelines for model deployment
- Mentor and grow AI engineers
- Monitor latency and model performance
- Translate business use cases into technical sprints
Perks/Benefits
- Death-in-service benefit
- Employee assistance programme
- Free parking
- Healthcare
- Hybrid working
- Paid time off
- Rentokil Initial Reward Scheme
Skills/Tech-stack
AI Pipelines | Agent systems | Autogen | Automl | BigQuery | CI/CD | Cloud SQL | Cloud Storage | Data Lake | Data Warehouse | Docker | ELT | ETL | FastAPI | Flask | GKE | Generative AI | Google Cloud | Google Cloud Storage | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NumPy | Pandas | Python | Retrieval-Augmented Generation | SQL | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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