Fullstack Software Engineer - Core

This role offers the opportunity to build core capabilities within a sophisticated enterprise AI and data platform. You will contribute to features spanning data preparation, machine learning, visualization, MLOps, platform engineering, and AI governance. The position combines backend engineering with exceptional frontend experiences, giving you the chance to work across the full product stack. You will tackle complex technical challenges involving large-scale data processing, AI-powered workflows, cloud integrations, and high-performance interfaces. Depending on your interests, you may work with technologies including Java, Python, Angular, React, Kubernetes, Spark, and major cloud platforms. You will collaborate with engineers, researchers, and cross-functional teams to turn innovative ideas into reliable product capabilities. This is a strong opportunity for a stack-agnostic software engineer who enjoys building real products and solving challenging problems at scale. Accountabilities:

• Build and enhance core product features across areas such as data preparation, AI and machine learning, data consumption, visualization, MLOps, platform engineering, and AI governance.
• Develop tools for data integration, transformation, cataloging, visualization, and large-scale data workflows.
• Contribute to AI and machine learning capabilities, including LLM APIs, machine learning model integrations, statistical features, and time-series forecasting.
• Create intuitive experiences that make data accessible and actionable, including collaborative workspaces, dashboards, datasets, and AI-powered interfaces.
• Develop high-performance visualization capabilities, including new chart types, dashboards, and flexible data exploration experiences.
• Build MLOps capabilities that automate model retraining, monitoring, deployment, and collaboration between machine learning stakeholders.
• Improve platform scalability, performance, security, and cloud integrations while expanding support for databases and data processing engines.
• Develop AI governance capabilities that simplify compliance, policy enforcement, and integration across different systems.
• Collaborate with engineering, research, and cross-functional teams to design, implement, test, and continuously improve production-quality software.
• Contribute to technical decisions across backend and frontend systems while maintaining a strong focus on performance, usability, reliability, and product quality.

• Significant professional experience in software engineering, with a track record of building and delivering real-world products.
• Strong fullstack engineering capabilities and a genuine interest in combining high-performing backend systems with exceptional frontend user experiences.
• A stack-agnostic mindset and ability to learn and work effectively with different technologies and frameworks.
• Experience with technologies relevant to modern software platforms, such as Java, Python, JavaScript, TypeScript, Angular, React, Node.js, or comparable technologies.
• Experience with cloud, distributed systems, data platforms, machine learning, visualization, or DevOps technologies is valuable depending on the area of interest.
• Ability to work on complex technical problems involving scalability, performance, data, AI, cloud infrastructure, or user-facing product experiences.
• Strong problem-solving and analytical skills, combined with a practical approach to building maintainable and reliable software.
• Ability to collaborate effectively with engineers, researchers, and other stakeholders in a fast-paced, high-growth environment.
• Passion for engineering excellence, product quality, continuous learning, and challenging technical problems.
• Candidates at junior, mid-level, and senior levels may be considered, with responsibilities aligned to experience and expertise.

• Opportunity to work on a sophisticated enterprise AI and data platform with significant real-world impact.
• Exposure to a broad and evolving technology stack across AI, machine learning, data engineering, cloud infrastructure, visualization, and software development.
• Opportunity to contribute to innovative features involving LLMs, machine learning, MLOps, AI governance, and large-scale data processing.
• Collaborative environment bringing together engineering and research expertise.
• Opportunity to work on technically challenging problems at scale.
• Remote working opportunity within the United Kingdom.
• Strong focus on innovation, engineering excellence, collaboration, diversity, and professional growth.
• Opportunity to contribute to a product used by leading organisations to operationalize AI and data capabilities.