Principal AI Consultant
About this role
Principal AI Consultant
💸Salary: £105,000 - £130,000 per annum (depending on experience). Up to 15% discretionary bonus
📍Location: Remote – must be based within the UK. Occasional visits to see customers and the team.
🧠Interview process: Three rounds. 1: Get to know you chat with the Talent Team; 2: Technical competency with the Hiring Lead and a Team Member; 3: AI Assessment.
🤝Our Values: Advancing, Come as you are, Zero burnout, We all level up together and Transparency
Learn more about us:YouTube, read ourBlogs. Understand ourvalues!
Who Are We?
Advancing Analyticsarea market leader in delivering bleeding-edge analytical solutions for customers all over the world. To thrive in today's market, businesses need to ride the wave of innovation, implementing the rapidly evolving AI and ML solutions available. We are looking to you to help them build them!
Who are we looking for?
On an average day working with us, you could be helping a customer implement a large language model, geared to solving complex and advanced business challenges. The next day you could be deploying an end-to-end ML pipeline to streamline and automate the AI offerings of some of the largest organisations in the world.
What skills do we want you to have?
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, acting as engagement technical lead or solution architect, with 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 frameworks such as LangChain, LangGraph, Semantic Kernel, or 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, with the ability to set engineering standards and guide teams through complex delivery challenges.
Deep understanding of AI governance, compliance, and delivery risk, including responsible AI, bias testing, and auditability in regulated industries.
Excellent consulting and communication skills, able to influence senior stakeholders, explain architectural trade‑offs, and mentor senior consultants and engineers.
Other tech and skills we like, but isn't essential:
Strategic and architectural experience with Microsoft Azure, including Azure‑native AI and data platforms, reference architectures, and aligning Azure AI services with enterprise security and governance requirements.
Experience with advanced agent tooling and orchestration, including MCP servers, Unity Catalog functions, and governed tool‑execution patterns.
Familiarity with LLM and agent evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or bespoke evaluation harnesses.
Strong background in advanced machine learning, including deep learning with PyTorch, computer vision methods, NLP pipelines, or graph-based data processing.
Knowledge of cloud infrastructure and modern deployment practices, including Terraform or Bicep, Kubernetes, serverless architectures, and secure multi‑tenant designs.
Exposure to AI security, red teaming, and adversarial testing, including prompt‑injection defence and working knowledge of frameworks such as NIST AI 600‑1 or the EU AI Act.
Experience leading delivery in Agile environments (Scrum, Kanban), adapting methodologies to research‑heavy AI and GenAI projects.
What will it be like to work for Advancing Analytics?
We are a small company and encourage everyone to have a voice within our collaborative and inclusive team from day one.
As a consultancy with strong partnerships across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs, you’ll get hands-on access to some of the most exciting technology and learning opportunities in the industry. We know this market moves quickly, so we invest in our people for the long term, giving you the space to build real expertise, keep developing, and stay ahead of what’s next.
We’re also genuinely active in the wider data and AI community. That means speaking at events, sponsoring major industry moments like Big Data London, and showing up at some of the biggest stages in the space, including Databricks Data+AI Summit, Data+AI World Tour, and the Global AI AgentCon London.
Aside from offering a competitive salary, we have a great set of benefits and perks including, but not limited to:
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! 🌟
Our company values define us:
🚀 Advancing– Being part of a team that drives innovation and pushing boundaries of what’s possible. Our work redefines industry standards and challenges the status quo in the data world every day.
❤️ Come as you are – we are an inclusive company. When you work with us, rest assured you're working in a safe environment.
❌ Zero burnout – We have seen it happen, and we never want to be a company that pushes our staff to breaking point.
⬆️ We all level up together – we have each seen the benefit that being part of a community can have, it is transformational.
💡 Transparency– We are big believers that there are no secrets in Advancing Analytics, and we try to live this day to day.
You can read about our values in more detail here -
Equal opportunities for everyone
At Advancing Analytics both diversity and inclusion are a priority. We are all committed to creating an inclusive environment where everyone feels valued, respected and empowered to be their authentic selves.
We are proud to be an equal opportunity employer; all applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity or disability status.
This role profile is intended to provide an overview of the responsibilities and qualifications required for the Principal AI Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
Originally posted on Himalayas
