Principal AI Consultant
Tasks
- Deploy end to end ML pipelines
- Design LLM systems with prompt engineering fine tuning and guardrails
- Design and manage Databricks lakehouse governance led architectures
- Design and oversee AI agent architectures with tool use memory and reasoning
- Design production grade machine learning and GenAI solutions
- Establish Python engineering standards and mentor teams
- Implement large language model systems for business challenges
- Implement responsible AI governance bias testing and auditability
- Lead enterprise AI consulting engagements
- Oversee AI system deployment reliability and production operations
- Provide LLMOps and MLOps evaluation monitoring and CI/CD for AI workflows
Perks/Benefits
- 25 days annual leave
- Away days with the team
- Birthday leave
- Charity leave
- Electric car scheme
- Eye care scheme
- Flexible working hours
- Health and well being supplement
- Maternity Paternity Policy
- Private medical & dental care
Skills/Tech-stack
AI Act | Agentic AI | Agile | Artificial Intelligence | Azure | Azure Native | Azure Native AI | CI/CD | Computer Vision | Databricks | Deep learning | EU AI | EU AI Act | Evaluation | Feature Engineering | Fine Tuning | GenAI | Guardrails | Kanban | Kubernetes | LLMOps | Lakebase | Lakehouse Monitoring | Language Models | Large Language Models | MLOps | Machine Learning | Model Serving | Monitoring | Mosaic AI | NIST AI | NIST AI 600 | NIST AI 600-1 | NLP | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Scrum | Serverless | Terraform | Unity Catalog
Education
Roles
AI Consultant | Consultant | Principal | Principal AI Consultant
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