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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Fullstack Software Engineer - Core - **Company:** Dataiku - **Location:** Southport, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Databases, D3.Js, Data Cleansing, Data Integration, Data Visualization, Programming Tools, Spring Framework, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Tensorflow, Software Engineering, SQL Databases, Jupyter Notebook, Google Cloud, Pytorch, ReactJS, Large Language Models, Apache Spark, Backend, AngularJS, Scikit Learn, Kubernetes, Low Latency, Build Tools, Machine Learning Operations, Front End Software Development, Dataiku, Docker - **Published:** June 25, 2026 - **Apply:** https://find.jobs/jobs-near-me/remote-fullstack-software-engineer-core-southport-merseyside/2838153433-2/ ## About the Role * We're stack agnostic, so all you need is a significant experience in software engineering, building a real product * We're hiring at all levels (junior, mid, senior) * A passion for combining backend performance with exceptional frontend user experience. * You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale ## Description As a Fullstack Engineer, you'll contribute to building Dataiku DSS core features by joining one of the following themes: * Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. * Add new capabilities for data integration, transformation, and visualization using LLMs * Optimize workflows for large-scale datasets and improve database support * Strengthen developer tools like Jupyter notebooks and SQL workbenches * Tech stack: Java, Python, AngularJS, Angular Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards. * Develop new chart types and optimize visualization performance * Enhance dash boarding capabilities to deliver fast and flexible experiences * Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. * Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models * Collaborate with research teams on innovative machine learning experiments * Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. * Build tools to automate retraining, monitoring, and deployment of ML models * Enhance collaboration features for ML stakeholders * Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. * Optimize processing engines for scalability and latency * Expand capabilities to support new databases and cloud platforms * Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. * Develop customizable platforms for managing AI compliance and governance * Simplify policy enforcement and integration across disparate systems * Tech stack: Java, Angular, PostgreSQL ## Related Videos - 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