Senior AI Engineer
Quantum
Senior AI Engineer at Quantum is a full time role based in London (hybrid). Listed skills: Technology. It was published on 16 August 2026 and was open at last check.
| Role | Senior AI Engineer |
|---|---|
| Company | Quantum |
| Location | London (hybrid) |
| Employment type | Full Time |
| Skills listed | Technology |
| Published | 16 August 2026 |
| Status | Open at last check |
Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.
The Role
We're looking for an experienced Senior AI Engineer to join our team.
You'll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.
Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting-edge AI techniques to real-world marketing and advertising challenges.
Key Responsibilities
- Architecture & Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.
- Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.
- Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.
- Performance & Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.
- Security & Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.
- Mentorship & Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.
About You
- Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments
- Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs
- A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering
- Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc
- Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices
- An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus
- Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus
- You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it
- Confident navigating ambiguity and a fast moving environment
- Excellent written and verbal communication skills
- Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute
What You’ll Get
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market-Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks
Create your free OnJob profile to apply — we'll take you to Quantum's application after sign-up. · Posted 16 Aug 2026.
Senior AI Engineer at Quantum — questions answered
What does the Senior AI Engineer role at Quantum pay?
Quantum does not publish a salary on this Senior AI Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Senior AI Engineer role at Quantum based?
Quantum lists this Senior AI Engineer role in London (hybrid), advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Quantum before you apply.
What skills does the Senior AI Engineer role at Quantum require?
The Senior AI Engineer at Quantum listing names Technology. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Senior AI Engineer role at Quantum still open?
The Senior AI Engineer posting at Quantum was open at OnJob's last check of the employer's careers page, having been published on 16 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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