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 competitive pay, hybrid work, and growth opportunities.
- Other info: Fast-paced environment with 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.
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 in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at usepassionfruit.com or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to usepassionfruit.com.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like usepassionfruit.com.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like usepassionfruit.com that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at usepassionfruit.com.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at usepassionfruit.com and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at usepassionfruit.com
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If usepassionfruit.com uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
