Lead AI Engineer
Crawley, England, United Kingdom
GBP 70K-108K (estimate) Senior-level Full Time
Tasks
- Advise on AI use case identification and tool selection
- Architect LLMOps and MLOps CI CD pipelines
- Build and deploy generative AI and machine learning solutions
- Build internal developer facing prompt libraries and evaluation workflows
- Create testing frameworks and evaluation metrics for generative AI
- Design agentic multi agent workflows
- Implement AI safety guardrails and evaluation frameworks
- Lead MVP to production transitions
- Mentor AI engineers and support team delivery
- Own model deployment on Vertex AI
- Set coding standards and code review processes
- Support company wide AI adoption and governance
- Translate business use cases into technical sprints
Perks/Benefits
- Bank holidays
- Death-in-service benefit
- Employee assistance programme
- Employee reward scheme
- Free parking
- Healthcare
- Hybrid working
- Paid time off
Skills/Tech-stack
Autogen | BigQuery | CI/CD | Cloud SQL | Cloud Storage | Data Lake | Data Modeling | Data Warehouse | Docker | ELT | ETL | FastAPI | Flask | GKE | Google Cloud | Google Cloud Storage | Hyperparameter Tuning | JavaScript | Kubernetes | LLMOps | Langchain | Langgraph | Language Processing | Latency monitoring | MLOps | Machine Learning | Model Evaluation | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Python | RAG | SQL | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Solutions | AI Solutions Architect | Architect | Engineer | Lead | Lead AI | Lead AI Engineer | Solutions Architect
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