Mackenzie Jones
Lead AI Engineer - GCP / Machine Learning / AI Agents

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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
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Experience
- 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


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Desirable Technologies
- GCP / Vertex AI
- Gemini
- Python
- AI Agents / ADK
- Machine Learning Frameworks
- APIs & Microservices
- Docker / Kubernetes
- CI/CD Pipelines
- LLM Orchestration Frameworks
Additional Information
- 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
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