About this role
Salary: £95,000 - 95,000 per year
Requirements: Strong commercial background in Data Science and Machine LearningExperience designing and deploying production AI solutionsStrong knowledge of AI, Machine Learning and Large Language Models (LLMs)Experience developing RAG solutions and AI agentsExcellent Python skills alongside modern AI/ML frameworks and SDKsExperience with Azure AI services or another enterprise AI cloud platformStrong understanding of Data Engineering concepts and working with structured and unstructured datasetsExperience deploying AI solutions into enterprise environmentsGood understanding of IT infrastructure including networking, security, APIs, Entra ID and cloud platformsExperience integrating AI solutions with existing business systemsAbility to lead AI initiatives from strategy and proof of concept through to implementationExcellent stakeholder management and communication skills, with the ability to work across technical and non-technical teamsCommercial mindset with the ability to identify opportunities where AI can deliver measurable business valueDesirable: experience with LLMOps / GenAIOps and production monitoring frameworksDesirable: knowledge of Azure Private Endpoints, VNets and secure AI deploymentDesirable: experience with workflow automation and AI orchestrationDesirable: experience helping establish or grow AI capability within an organisationDesirable: background within operational, retail, automotive or customer-focused environments Responsibilities: Lead the full AI delivery lifecycleDefine AI strategy and identify high-value business opportunitiesLead AI projects from proof of concept through to production deploymentDesign and develop AI and Machine Learning solutions using Azure and modern AI technologiesBuild production-ready LLM applications, RAG pipelines and AI agentsWork closely with Data Engineering teams to prepare and integrate structured and unstructured dataCollaborate with Infrastructure teams to deploy secure, scalable AI solutions into enterprise environmentsEmbed AI tools into operational workflows and drive user adoption across the businessEstablish monitoring, evaluation and governance frameworks for production AI environmentsMeasure project success through business impact, automation gains and operational improvementsProvide technical leadership across AI initiatives while working closely with stakeholders at all levels Technologies: AIAI AgentsAzureCloudLLMMachine LearningPythonRAGSecurity More:
We are a growing technology-led organisation based in Manchester, working in a hybrid setup with 3 days in the office and 2 days remote. We are investing heavily in AI and are looking for someone to help shape and deliver our AI roadmap, bridging the gap between technical capability and commercial outcomes. This is a highly collaborative role with long-term career progression, a quarterly bonus scheme, and the opportunity to build a strategic AI function while driving real business value.
last updated 32 week of 2026