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Lead AI Engineer - GCP / Machine Learning / AI Agents
Mackenzie Jones ITEuston, Norfolk🇬🇧United KingdomPosted 25 Jul 2026
Why This Role Stands Out
This Lead AI Engineer role offers a fantastic opportunity to shape the future of AI within a major consumer organization, with excellent career growth and significant impact. You'll thrive here if you have a strong engineering background and a passion for machine learning and AI agents, enjoying both hands-on development and technical leadership, with a competitive salary and flexible remote working. Apply today to lead innovative AI solutions and mentor a growing team!
Quick Overview
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior
Job Description
Lead AI Engineer - GCP / Machine Learning / AI Agents
£85k - £90k + Up to 15% Bonus + Benefits - Permanent
Remote UK - Flexible remote working model - Occasional travel to the South-East / South London region
Must be Eligible to work in the UK - Cannot Provide Sponsorship
We're currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we're looking to identify an experienced Lead AI Engineer to help shape, build and deliver scalable AI-enabled solutions across the organisation.
This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery & technical leadership. Alongside remaining hands-on, you'll help mentor AI Engineers, establish engineering best practice and support the delivery of enterprise-scale AI solutions.
Key Responsibilities
£85k - £90k + Up to 15% Bonus + Benefits - Permanent
Remote UK - Flexible remote working model - Occasional travel to the South-East / South London region
Must be Eligible to work in the UK - Cannot Provide Sponsorship
We're currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we're looking to identify an experienced Lead AI Engineer to help shape, build and deliver scalable AI-enabled solutions across the organisation.
This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery & technical leadership. Alongside remaining hands-on, you'll help mentor AI Engineers, establish engineering best practice and support the delivery of enterprise-scale AI solutions.
Key Responsibilities
- Design and develop AI-enabled Applications & Services
- Build scalable AI & Machine Learning solutions within a GCP environment
- Lead the technical direction of AI Engineering initiatives
- Provide technical leadership, mentoring and coaching to AI Engineers across the wider team
- Help establish engineering standards, best practice and code quality across AI Engineering
- Collaborate closely with Digital Products, AI, Data & business stakeholders
- Support the development of AI Agents and intelligent automation capabilities
- Drive Engineering best practice across cloud-native AI delivery
- Help transition AI Proof of Concepts into secure, scalable production solutions
- Contribute towards architecture, experimentation and proof-of-concept initiatives
- Strong Software Engineering background (Python preferred)
- Commercial AI / Machine Learning Engineering experience
- Hands-on Google Cloud Platform (GCP) experience
- Experience deploying ML / AI solutions into production environments
- Understanding of modern AI frameworks & LLM ecosystems
- Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable
- Strong stakeholder engagement & communication capability
- Previous technical leadership, mentoring or experience leading Engineering teams would be highly beneficial
- GCP / Vertex AI
- Gemini
- Python
- AI Agents / ADK
- Machine Learning Frameworks
- APIs & Microservices
- Docker / Kubernetes
- CI/CD Pipelines
- LLM Orchestration Frameworks
- Bonus potential up to c.15%
- Opportunity to join a growing AI capability within a large-scale Enterprise environment
- Opportunity to combine hands-on AI Engineering with technical leadership and mentoring
- Excellent long-term progression potential as the AI function expands
Skills
Docker
GCP
Microservices
Machine Learning
Google Cloud
Kubernetes
LLM
Python
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