Lead Data Scientist - AI
Crawley, England, United Kingdom
GBP 70K-108K (estimate) Senior-level Full Time
Tasks
- Advise on AI strategy and tool selection
- Architect ELT ETL pipelines
- Build LLMOps pipelines
- Build data marts
- Build multi-agent workflows
- Create evaluation metrics for generative AI
- Define coding standards
- Deploy models on Vertex AI
- Design agentic systems
- Develop generative AI solutions
- Develop machine learning models
- Establish testing frameworks
- Implement AI guardrails
- Implement CI/CD pipelines
- Implement RAG architectures
- Ingest and transform data
- Lead model deployment pipelines
- Mentor junior engineers
- Monitor latency
- Perform hyperparameter tuning
- Run code reviews
- Set code review processes
- Support MVP to production transitions
- Translate business use cases into technical sprints
- Use Docker and Kubernetes workflows
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Agent systems | Autogen | BigQuery | CI/CD | Cloud SQL | Cloud Storage | Data Lakes | Data Warehousing | Docker | ELT | ETL | Evaluation Frameworks | FastAPI | Flask | GCP | GenAI | Generative AI | Google Cloud | Google Cloud Storage | Hyperparameter Tuning | Kubernetes | Kubernetes GKE | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Latency monitoring | MLOps | Machine Learning | Model Deployment | Model Evaluation | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Python | RAG | SQL | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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