Top Python Jobs in London

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Assist in wastewater modelling and analysis projects, including developing sewer models and supporting technical reports while promoting sustainable practices.

The Technical Account Manager will guide customers in implementing optimization technology, ensuring efficient use and business value through collaboration with various teams, trainings, and technical discussions.

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines, ensuring data quality and integration to support business requirements.

Develop and maintain high-impact web applications and API-driven systems, collaborating to ensure application performance in a cloud environment.

As a Senior Software Engineer, you'll design and build AI applications in Python, optimize performance, collaborate with clients, and lead technical practices. You will ensure high-quality standards and participate in agile development processes.

Build and operate backend services and data platforms powering context retrieval and enrichment for AI assistants. Design scalable data processing, streaming, and retrieval pipelines, create reusable APIs, ensure observability and performance, and collaborate cross-functionally to deliver production-grade, data-intensive systems.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

Design, deploy and maintain scalable, secure cloud infrastructure across AWS, providing technical leadership and collaborating with teams to meet product needs.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.

The Site Reliability Engineer will design, build, and maintain AWS cloud infrastructure, ensure performance and reliability, automate tasks, and participate in incident management.

The intern will integrate and benchmark post-quantum cryptographic libraries, explore real-world use cases, and produce documentation while working closely with R&D engineers.

The Senior Platform Engineer will lead design and implementation of a digital service platform, ensuring quality, scalability, and support through collaboration and continuous improvement efforts.

As a Senior SEO Manager, you will own technical SEO strategies, lead audits, manage organic content, and mentor teams to optimize digital presence.

Lead the Voice team at Rasa, focusing on mentoring engineers, driving processes, and delivering voice features while maintaining strong communication and async practices.

As a Cyber Risk Engineer, you will lead customer onboarding, build data integrations, automate workflows, and apply AI for risk insights.

As a Solutions Engineer, you will enhance sales processes, work with customers on technical solutions, create demonstrations, and develop self-service tools.

As a Solutions Engineer, you will enhance technical processes for enterprise clients, collaborate with sales teams, and build self-service resources.

As a Senior Machine Learning Engineer, you will enhance product features, optimize computer vision algorithms, mentor team members, and stay updated with research.