Principal AI Consultant
New
A
Advancing AnalyticsAI consulting
Remote – must be based within the UK.Full-TimePrincipal
Salary£105,000 - £130,000 per annum (depending on experience). Up to 15% discretionary bonus
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Job Details
- Required Skills
- PythonMachine LearningDatabricksMLOpsGenerative AILangChain
Requirements
- PhD in Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related discipline, or equivalent depth of industry experience delivering complex, production-grade AI systems.
- Proven experience leading enterprise-scale AI consulting engagements as an engagement technical lead or solution architect.
- Experience with end-to-end delivery accountability from discovery through production.
- Expertise designing production-grade ML and GenAI solutions, including RAG and agentic AI patterns.
- Extensive experience designing and reviewing enterprise LLM systems, including prompt engineering, fine-tuning, guardrails, and responsible AI practices.
- Capability to design and oversee AI agent architectures with tool use, memory, and multi-step reasoning.
- Strong LLMOps and MLOps knowledge, including evaluation, monitoring, CI/CD for AI workflows, and production operations.
- Expert-level knowledge of Databricks, including Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance-led Lakehouse architectures.
- Proficiency in production-quality Python and ability to set engineering standards and guide teams.
- Deep understanding of AI governance, compliance, delivery risk, responsible AI, bias testing, and auditability in regulated industries.
- Consulting and communication skills to influence senior stakeholders, explain architectural trade-offs, and mentor senior consultants and engineers.
Responsibilities
- Lead enterprise-scale AI consulting engagements from discovery through production.
- Own delivery outcomes, technical quality, and stakeholder alignment.
- Design production-grade ML and GenAI solutions, including RAG and agentic AI patterns.
- Design and review enterprise LLM systems, including prompt engineering, fine-tuning, guardrails, and responsible AI practices.
- Design and oversee AI agent architectures with tool use, memory, and multi-step reasoning.
- Guide evaluation, monitoring, and CI/CD for AI workflows and support reliable production operations.
- Use the Databricks ecosystem to deliver AI solutions and governance-led Lakehouse architectures.
- Set Python engineering standards and guide teams through complex delivery challenges.
- Advise on AI governance, compliance, and delivery risk, including responsible AI, bias testing, and auditability.
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