Machine Learning Engineer (£100k-£140k + Equity) at Usepassionfruit

Jack & Jill · London, England, UK

Full-time£100,000 – £140,000

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About the role

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title

Machine Learning Engineer

Salary

£100k-£140k + Equity

Company Description

Usepassionfruit.com is a $14M Series A startup backed by Seaya, firstminute, and Playfair, building an AI-native teammate for marketing teams. We are automating complex marketing operations—from campaign briefs to paid media analysis—for mid-market brands with high-performance, autonomous agentic systems.

Job Description

As the second ML hire, you will design and deploy production-grade agentic systems that automate complex marketing operations. You'll build persistent agents with memory and tool use, integrating deeply with ad platforms and CRMs to handle everything from performance reporting to creative review for high-growth brands like the Atlanta Braves and ADT.

Location

London, UK

Why this role is remarkable

  • Join a rocket ship that scaled from $0 to $2M ARR in just four months, with usage growing 6x recently and the company nearing profitability.
  • Work at the cutting edge of production AI, moving beyond prototypes to deploy agentic systems that handle real-world marketing workflows for enterprise clients.
  • Enjoy meaningful ownership as a founding member of the ML team, directly shaping the production stack and product roadmap in a fast-paced environment.

What You Will Do

  • Develop and deploy LLM-powered agentic systems featuring persistent memory, tool orchestration, and multi-step marketing workflow automation.
  • Integrate models with live data sources including Google Ads, Meta, and CRMs to create autonomous performance and compliance agents.
  • Iterate on RAG pipelines, retrieval strategies, and domain-specific fine-tuning to improve the accuracy and reliability of marketing-specific AI workflows.

The ideal candidate

  • Proven experience building and shipping production ML/LLM systems, specifically involving RAG, agentic frameworks, or complex workflow orchestration.
  • Expert proficiency in Python with solid software engineering fundamentals, including experience building robust APIs and data pipelines.
  • Thrives in a fast-moving product environment and possesses the technical curiosity to experiment with new technologies like Elixir or specialized marketing analytics.

Who are Jack & Jill?

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.

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.

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.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.

Skills

  • Python
  • REST
  • Django
  • Flask
  • TypeScript
  • JavaScript
  • Docker
  • Kubernetes
  • TensorFlow
  • PyTorch
  • NLP
  • GCP
  • AWS
  • Azure

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