A tech-driven marketing solutions company is seeking a Software Developer to shape the next generation of its AI-native platform. The role involves designing robust features, building scalable backend systems, and collaborating with teams to deliver high-quality software. Ideal candidates have over 4 years of development experience and a familiarity with AI/ML integrations. The position offers a competitive salary and a hybrid work environment, with visible impact in a small, ambitious team.
30/05/2026
Full time
A tech-driven marketing solutions company is seeking a Software Developer to shape the next generation of its AI-native platform. The role involves designing robust features, building scalable backend systems, and collaborating with teams to deliver high-quality software. Ideal candidates have over 4 years of development experience and a familiarity with AI/ML integrations. The position offers a competitive salary and a hybrid work environment, with visible impact in a small, ambitious team.
Software Developer Hybrid Full-Time About Passionfruit Passionfruit is reshaping how marketing teams work. We started as a marketplace connecting brands with specialist marketers, and we're now building PIP, an AI-native platform that's changing how marketing operations actually get done. We're not building generic AI tools and hoping marketers find them useful. We're building with marketing teams, because that's the only way to make something that genuinely works. Every feature, every workflow, every integration comes from real problems we've seen up close. About PIP PIP is our AI-native workspace for modern marketing operations. It centralises context, insights, and workflows into one intelligent platform - helping teams analyse performance, automate reporting, and extract meaningful answers from their data in minutes rather than days. We're already trusted by enterprise customers across dozens of industries, but we're just getting started. We ship fast, iterate based on real feedback, and scale deliberately. If you're excited by building from first principles, working with a small team punching above its weight, and solving hard problems in a space that's genuinely ready for disruption - this is the moment. The Role We're looking for a Software Engineer to join our team and help shape the next generation of PIP. You'll build robust, scalable features with a focus on AI-driven experiences, backend services, and integrations that bring real value to users. You'll work closely with product, design, and ML to deliver high-quality software with clear ownership. What You'll Do Design, develop, test, and deploy code that powers PIP's core features and infrastructure Build scalable backend systems and APIs supporting AI workflows, data ingestion, and real-time insights Work with AI/ML services and integrations - connecting models, databases, and frontend experiences Partner with cross-functional teams to turn product goals into technical solutions Write clear documentation, perform code reviews, and contribute to engineering best practices Troubleshoot, optimise, and maintain systems for performance and reliability at scale Help define development processes and tooling as we grow What We're Looking For High rate of learning - you get up to speed fast and keep pushing 4+ years of professional software development experience Familiarity with AI/ML integrations or data-driven features Excellent problem-solving and collaboration skills Nice-to-have: Proficiency in backend technologies such as Elixir, Phoenix, Erlang or similar Previous work on AI platforms Why Passionfruit? Small, ambitious team building world-class AI products - your work will be visible and impactful Flexible, hybrid environment with a global team Competitive compensation and benefits Real input into product decisions and company direction Working hours and location Location: London, Chancery Lane Hours: 9-6pm For more information or to apply to this role please contact
30/05/2026
Full time
Software Developer Hybrid Full-Time About Passionfruit Passionfruit is reshaping how marketing teams work. We started as a marketplace connecting brands with specialist marketers, and we're now building PIP, an AI-native platform that's changing how marketing operations actually get done. We're not building generic AI tools and hoping marketers find them useful. We're building with marketing teams, because that's the only way to make something that genuinely works. Every feature, every workflow, every integration comes from real problems we've seen up close. About PIP PIP is our AI-native workspace for modern marketing operations. It centralises context, insights, and workflows into one intelligent platform - helping teams analyse performance, automate reporting, and extract meaningful answers from their data in minutes rather than days. We're already trusted by enterprise customers across dozens of industries, but we're just getting started. We ship fast, iterate based on real feedback, and scale deliberately. If you're excited by building from first principles, working with a small team punching above its weight, and solving hard problems in a space that's genuinely ready for disruption - this is the moment. The Role We're looking for a Software Engineer to join our team and help shape the next generation of PIP. You'll build robust, scalable features with a focus on AI-driven experiences, backend services, and integrations that bring real value to users. You'll work closely with product, design, and ML to deliver high-quality software with clear ownership. What You'll Do Design, develop, test, and deploy code that powers PIP's core features and infrastructure Build scalable backend systems and APIs supporting AI workflows, data ingestion, and real-time insights Work with AI/ML services and integrations - connecting models, databases, and frontend experiences Partner with cross-functional teams to turn product goals into technical solutions Write clear documentation, perform code reviews, and contribute to engineering best practices Troubleshoot, optimise, and maintain systems for performance and reliability at scale Help define development processes and tooling as we grow What We're Looking For High rate of learning - you get up to speed fast and keep pushing 4+ years of professional software development experience Familiarity with AI/ML integrations or data-driven features Excellent problem-solving and collaboration skills Nice-to-have: Proficiency in backend technologies such as Elixir, Phoenix, Erlang or similar Previous work on AI platforms Why Passionfruit? Small, ambitious team building world-class AI products - your work will be visible and impactful Flexible, hybrid environment with a global team Competitive compensation and benefits Real input into product decisions and company direction Working hours and location Location: London, Chancery Lane Hours: 9-6pm For more information or to apply to this role please contact
A marketing technology company in London seeks an experienced Machine Learning Engineer to develop and deploy ML systems specific to marketing workflows. You will collaborate with product and engineering teams to ship reliable AI tools that significantly enhance marketing operations. The ideal candidate has strong experience in building ML systems and a solid understanding of Python and various data sources, such as Google Ads and analytics. A background in marketing is a plus, along with experience in working in fast-paced environments.
30/05/2026
Full time
A marketing technology company in London seeks an experienced Machine Learning Engineer to develop and deploy ML systems specific to marketing workflows. You will collaborate with product and engineering teams to ship reliable AI tools that significantly enhance marketing operations. The ideal candidate has strong experience in building ML systems and a solid understanding of Python and various data sources, such as Google Ads and analytics. A background in marketing is a plus, along with experience in working in fast-paced environments.
Machine Learning Engineer Hybrid Full-Time 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 For more information or to apply to this role please contact
29/05/2026
Full time
Machine Learning Engineer Hybrid Full-Time 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 For more information or to apply to this role please contact