Principal AI Consultant

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £105k - £130k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Advancing Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Advancing Analytics is a Big Data and AI consultancy that helps organisations turn data into actionable insight. The company specializes in Microsoft Data & AI and Databricks technologies, advancing Lakehouse architecture and blending traditional analytics with machine learning and AI. They provide services across data engineering, analytics, strategy and systems implementation, operating as a remote-first, B2B consultancy staffed by certified experts.

📋 Description

• Help customers implement large language models to solve complex and advanced business challenges • Deploy end-to-end machine learning pipelines to streamline and automate AI offerings • Lead enterprise-scale AI consulting engagements as technical lead or solution architect • Own delivery outcomes, technical quality, and stakeholder alignment from discovery through production • Design production-grade ML and GenAI solutions, including RAG and agentic AI patterns • Design and review enterprise LLM-based 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 • Establish and oversee LLMOps and MLOps practices, including evaluation, monitoring, CI/CD, and reliable production operations • Apply Databricks technologies including Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance-led Lakehouse architectures • Set engineering standards and guide teams through complex delivery challenges using Python • Address AI governance, compliance, responsible AI, bias testing, auditability, and delivery risk • Influence senior stakeholders, explain architectural trade-offs, and mentor senior consultants and engineers • Occasionally visit customers and the team

🎯 Requirements

• PhD in a relevant field such as 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 engagement technical lead or solution architect • End-to-end accountability for delivery outcomes, technical quality, and stakeholder alignment from discovery through production • Demonstrated expertise designing production-grade ML and GenAI solutions, including RAG and agentic AI patterns • Extensive experience designing and reviewing LLM-based systems in enterprise environments, including prompt engineering, fine-tuning, guardrails, and responsible AI practices • Advanced capability to design and oversee AI agent architectures with tool use, memory, and multi-step reasoning using LangChain, LangGraph, Semantic Kernel, CrewAI, or equivalent frameworks and architectural patterns • Strong authority in LLMOps and MLOps, including evaluation, monitoring, CI/CD for AI workflows, and operating AI systems reliably in production • Expert-level knowledge of the Databricks ecosystem, including Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance-led Lakehouse architectures • Proficiency in production-quality Python • Deep understanding of AI governance, compliance, and delivery risk, including responsible AI, bias testing, and auditability in regulated industries • Excellent consulting and communication skills, ability to influence senior stakeholders, explain architectural trade-offs, and mentor senior consultants and engineers • Strategic and architectural experience with Microsoft Azure, including Azure-native AI and data platforms, reference architectures, and enterprise security and governance requirements (desirable) • Experience with advanced agent tooling and orchestration, including MCP servers, Unity Catalog functions, and governed tool-execution patterns (desirable) • Familiarity with LLM and agent evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or bespoke evaluation harnesses (desirable) • Strong background in advanced machine learning, including deep learning with PyTorch, computer vision, NLP pipelines, or graph-based data processing (desirable) • Knowledge of cloud infrastructure and modern deployment practices, including Terraform or Bicep, Kubernetes, serverless architectures, and secure multi-tenant designs (desirable) • Exposure to AI security, red teaming, and adversarial testing, including prompt-injection defence and NIST AI 600-1 or EU AI Act (desirable) • Experience leading delivery in Agile environments such as Scrum or Kanban (desirable) • Must be based within the UK

🏖️ Benefits

• Up to 15% discretionary bonus • Industry matching Maternity & Paternity policy • Private Medical & Dental Care plus Eye care scheme • Health & Well-being supplement • 25 Days Annual Leave, Birthday Leave & Charity Leave • Away days with the team • Flexible Working Hours • Electric Car Scheme • Databricks Champion Status Bonus • Hands-on access to exciting technology and learning opportunities • Long-term investment in employee development • Opportunities to speak at industry events and participate in the wider data and AI community