At a Glance
- Tasks: Design and build cutting-edge ML systems for marketing workflows.
- Company: Join Passionfruit, a leader in AI-native marketing operations.
- Benefits: Enjoy a competitive salary, hybrid work, and growth opportunities.
- Other info: Fast-paced environment with meaningful ownership and user impact.
- Why this job: Make a real impact on how AI transforms marketing teams.
- Qualifications: Experience in ML systems and strong engineering skills required.
The predicted salary is between 63000 - 77000 £ per year.
About Passionfruit
We’re building AI-native operations for marketing teams - automating the work that slows them down, from campaign briefs and performance reporting to creative review, compliance workflows, and paid media analysis. Our platform is purpose-built for marketing, trained on real marketing workflows and deeply integrated with ad platforms, CRMs, brand assets, and analytics tools.
As an ML Engineer, you’ll design, build, and ship production ML systems that power our core product and agent ecosystem - from real-time chat and workflow automation to autonomous agents like daily performance briefings and competitor tracking.
What you’ll work on:
- Develop and deploy ML/LLM systems for marketing-specific workflows (reporting, analysis, review, compliance)
- Build agentic systems with persistent memory, tool use, and workflow orchestration
- Integrate models with live data sources (Google Ads, GA4, Meta Ads, CRM, analytics)
- Improve retrieval, evaluation, and fine-tuning on marketing-domain data
- Collaborate closely with product and engineering to ship reliable, user-facing AI
What we’re looking for:
- Strong experience building and shipping ML systems in production
- Hands-on experience with LLMs, RAG, agents, or workflow-driven AI systems
- Solid engineering fundamentals (Python, APIs, data pipelines, evaluation)
- Comfort working in a fast-moving product environment
- Bonus: experience with marketing, ads platforms, or analytics data. Also ideal if you’ve worked with Elixir.
You’ll have meaningful ownership, real user impact, and the chance to define how AI actually works inside modern marketing teams.
Working hours and location:
Location: London, Chancery Lane
Hours: 9-6pm
Machine Learning Engineer employer: usepassionfruit.com
Passionfruit is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a focus on employee growth, we provide opportunities for professional development while working on impactful projects that shape the future of marketing technology. Our hybrid work model ensures flexibility, allowing you to thrive both in the office and remotely, all while being part of a passionate team dedicated to delivering cutting-edge AI solutions.
