You will lead the development of production-grade ML systems and autonomous agents that automate complex marketing workflows. From real-time performance analysis to AI-driven campaign briefs, you'll integrate models with live data from Meta and Google Ads, building the intelligent infrastructure that serves global giants like PepsiCo and HSBC.
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ML Engineer at Usepassionfruit
You will build and ship production-grade agentic systems that automate marketing operations for global giants like PepsiCo and HSBC. This is a unique opportunity to own the AI architecture for a platform managing insights across the $750B advertising landscape. If you have 4-8 years of experience in ML and want to move the needle for Fortune 500 brands using LLMs, RAG, and autonomous agents, this London-based hybrid role is your next big career move.
About this role
Role overview
About the company
Usepassionfruit
Software
Passionfruit provides an AI-powered platform that simplifies a company's ability to discover, arrange, and engage vetted independent talent, initially in Marketing, while also providing on-project collaboration tooling, empowering all parties to plan, implement, and report on entire work-streams within a single system. It operates as a marketplace for hiring freelance marketing specialists, with offices in London, New York, Portugal, and Italy.
What you'll do
What you will do
- Design and deploy agentic systems featuring persistent memory, tool use, and advanced workflow orchestration for real-time marketing reporting.
- Integrate LLMs with live data sources including Google Ads, GA4, Meta Ads, and CRMs to automate daily performance briefings and competitive tracking.
- Improve system reliability through retrieval optimization, evaluation frameworks, and fine-tuning on proprietary marketing-domain data sets.
Who you are
Who this is a fit for
- 4-8 years of hands-on ML engineering experience with a proven track record of shipping production LLM, RAG, or agentic systems.
- Strong software engineering fundamentals in Python and API development, with the ability to build scalable data pipelines for real-world applications.
- Thrives in a high-ownership, fast-paced startup environment and possesses the technical maturity to define the AI roadmap for a growing product.
Why this role
Why this role is remarkable
- Ship production AI to Fortune 500 clients like Mars and AB InBev, solving the massive data-fragmentation problem in a $750B+ global advertising market.
- High-impact leadership opportunity as the most senior ML engineer on a small, elite team with full ownership over architecture and model selection.
- Backed by top-tier investors including Seaya Ventures, Firstminute Capital, and Playfair Capital, with over $13M raised to scale AI-native marketing ops.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.