Salary£70,000 - £100,000 per annum (depending on experience). Up to 15% discretionary bonus.
LocationRemote – must be based within the UK. Occasional visits to see customers and the team.
Interview ProcessTwo rounds. 1: Get to know you chat with the People Recruitment Manager. 2: Technical competency with the Hiring Lead and a Team Member.
Required Skills
PhD in a relevant field, such as Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related discipline.
Proven experience designing and deploying GenAI and agentic AI solutions using tools such as Databricks Mosaic AI Agent Framework, Azure AI Studio, and Azure OpenAI Service.
Hands‐on experience with Large Language Models (LLMs) in enterprise environments, including prompt engineering, fine‐tuning, guardrail implementation, and responsible AI practices.
Ability to develop and deploy AI agents with tool use, memory, and multi‐step reasoning using frameworks like LangChain, LangGraph, Semantic Kernel, or CrewAI.
Strong LLMOps and MLOps skills, including model evaluation, A/B testing, monitoring, and CI/CD for AI workflows (e.g., Databricks Asset Bundles, GitHub Actions, Azure DevOps).
Proficiency in writing production‐quality Python, with the ability to support AI projects from initial prototype through to production deployment.
Knowledge of AI governance and compliance, including responsible AI principles, bias testing, and maintaining audit trails suitable for regulated industries.
Databricks ecosystem — Unity Catalog, Model Serving, Feature Engineering, Mosaic AI Gateway, Lakebase.
Excellent communication skills, able to explain complex AI architectures to senior leaders while also collaborating deeply with engineering teams to troubleshoot technical issues.
Other Technical Skills (Desirable)
Experience with agent tooling, including MCP servers, Unity Catalog functions, and tool orchestration patterns.
Familiarity with evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or custom‐built evaluation harnesses.
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, Bicep, Kubernetes, and serverless architectures.
Exposure to red teaming and AI security, such as adversarial testing, prompt‐injection defence, and working with compliance frameworks (e.g., NIST AI 600-1, EU AI Act).
Understanding of Agile delivery methodologies, including Scrum and Kanban.
Benefits and Perks
Industry matching Maternity & Paternity policy.
Private Medical & Dental Care plus Eye care scheme.
25 days Annual Leave, Birthday Leave & Charity Leave.
Away days with the team.
Flexible Working Hours.
Equal OpportunitiesAt 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 Senior AI Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
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