Top Python Jobs in London

Lead Levi's digital analytics strategy for web and app, deliver end-to-end insights, design and evaluate A/B and multivariate experiments, build segmentation and predictive models, partner with senior stakeholders, promote data culture, and shape the long-term vision and resourcing for the Digital Analytics team.

Lead development and deployment of machine learning and statistical models using Python, SQL and PySpark to deliver scalable, client-facing analytics solutions for Tesco Insurance & Money Services, collaborating with stakeholders to turn data into measurable customer outcomes.

As a Data Manager, you will ensure data governance, support data accessibility, improve workflows, and develop data policies while collaborating with various teams.

The Senior Manager will oversee deal assessments, financial modeling, and strategic planning in EMEA for TV distribution, supporting sales teams and optimizing processes.

Architect, build, secure, document, test, monitor and maintain APIs to enable internal, customer and third-party integrations; support front-end/back-end developers; optimize performance; provide technical support and participate in code reviews.

Lead internal technical enablement for Contentful's product portfolio, create training resources, and support cross-functional teams in implementation and best practices.

Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data engineers.

As an AI Engineer, you will design and implement the Auto-Moderation Service and AI features, working with Full Stack Developers to integrate intelligent systems into the platform.

The Solution Architect role involves building data platforms, assisting customers with migrations and configurations, and guiding projects from implementation to advanced use cases, leveraging Snowflake and related technologies.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

As a Research Engineer, you will develop ML solutions in quantum computing, bridging research and implementation, and ensuring communication between teams.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and develop software solutions from scratch, collaborating on government projects, and participating in the software development lifecycle.

Build and maintain cloud-based knowledge graph solutions and data pipelines using Python and AWS. Work with relational databases, containerised workloads, CI/CD, and performance optimisation while collaborating across cross-functional teams.

As a Security Research Engineer, you will analyze AI-generated vulnerability findings, conduct research on cloud security threats, and lead data labeling operations to enhance machine learning models.

As Internal Security Engineer, you'll build security infrastructure, implement security measures, ensure compliance, and automate security operations while collaborating with engineering teams.

The Principal Solutions Engineer will collaborate with various teams to align efforts across sales, provide expertise in cloud-native security, and assist with product demonstrations and customer engagements.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Lead Shopify projects, oversee development and integrations, guide engineers and ensure high-quality execution for clients' commerce needs.

Lead the development and deployment of AI systems, designing scalable ML software and infrastructure while mentoring junior engineers and advising clients.

As a Lead Data Scientist, you will design and deliver advanced AI solutions, mentor team members, and ensure responsible AI practices while driving innovation and collaboration across projects.

Build and maintain backend-first features and integrations for Triptease's marketing channels. Work across the full stack (primarily backend), design scalable distributed systems, implement CI/CD on cloud platforms, collaborate closely with product teams, pair program, write tests (TDD), and contribute to squad strategy and product quality.

Join Canonical's Talent Science team to assist in hiring processes using data analysis and behavioral science. Ideal for recent graduates with a psychology background, the role offers opportunities for analytical project work and stakeholder relationships.

Lead the Talent Science team ensuring data-driven processes for recruitment, coaching team members, and delivering strategic project outcomes.