> Markdown version of [/jobs/ext/1304304-principal-machine-learning-engineer-matching-and-recommendations-uk-based](https://www.wearedevelopers.com/jobs/ext/1304304-principal-machine-learning-engineer-matching-and-recommendations-uk-based). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Machine Learning Engineer, Matching and Recommendations (UK Based) - **Company:** Bumble, Inc. - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Integration, Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Delivery Pipeline, Large Language Models, Apache Spark, Build Management, Machine Learning Operations - **Published:** July 17, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=1a17153618783adb ## About the Role * Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. * Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments * Strong proficiency in Python and at least one major ML framework (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP * Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents * Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems * Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority * Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments * A track record of mentoring and uplifting others, role modelling Respect and Excellence while building inclusive, high-performing teams * Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AI ## Description * Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety * Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments * Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations * Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows * Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes * Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels * Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community * Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset * Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [How to Tell if Something Was Written by ChatGPT](https://www.wearedevelopers.com/magazine/314-how-to-tell-if-something-was-written-by-chatgpt) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)