AI Implementation Engineer (Data Science/ML Background)

Salary: £95,000 - 95,000 per year

Requirements

• Strong commercial background in Data Science and Machine Learning
• Experience designing and deploying production AI solutions
• Strong knowledge of AI, Machine Learning and Large Language Models (LLMs)
• Experience developing RAG solutions and AI agents
• Excellent Python skills alongside modern AI/ML frameworks and SDKs
• Experience with Azure AI services or another enterprise AI cloud platform
• Strong understanding of Data Engineering concepts and working with structured and unstructured datasets
• Experience deploying AI solutions into enterprise environments
• Good understanding of IT infrastructure including networking, security, APIs, Entra ID and cloud platforms
• Experience integrating AI solutions with existing business systems
• Ability to lead AI initiatives from strategy and proof of concept through to implementation
• Excellent stakeholder management and communication skills, with the ability to work across technical and non-technical teams
• Commercial mindset with the ability to identify opportunities where AI can deliver measurable business value
• Desirable: experience with LLMOps / GenAIOps and production monitoring frameworks
• Desirable: knowledge of Azure Private Endpoints, VNets and secure AI deployment
• Desirable: experience with workflow automation and AI orchestration
• Desirable: experience helping establish or grow AI capability within an organisation
• Desirable: background within operational, retail, automotive or customer-focused environments

Responsibilities

• Lead the full AI delivery lifecycle
• Define AI strategy and identify high-value business opportunities
• Lead AI projects from proof of concept through to production deployment
• Design and develop AI and Machine Learning solutions using Azure and modern AI technologies
• Build production-ready LLM applications, RAG pipelines and AI agents
• Work closely with Data Engineering teams to prepare and integrate structured and unstructured data
• Collaborate with Infrastructure teams to deploy secure, scalable AI solutions into enterprise environments
• Embed AI tools into operational workflows and drive user adoption across the business
• Establish monitoring, evaluation and governance frameworks for production AI environments
• Measure project success through business impact, automation gains and operational improvements
• Provide technical leadership across AI initiatives while working closely with stakeholders at all levels

Technologies

• AI
• AI Agents
• Azure
• Cloud
• LLM
• Machine Learning
• Python
• RAG
• Security

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