Top Python Jobs in London

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.

The Staff/Lead Engineer role involves maintaining and enhancing video generation infrastructure, building monitoring tools, and ensuring scalable solutions while evaluating commercial impacts and guiding team direction.

As a Senior Backend Engineer, you will design and develop core backend services for user management, integrating with Keycloak, and ensuring production stability.

The Senior Catastrophe Modelling Analyst will oversee data quality, ensure effective cat modelling service, drive risk selection, and enhance underwriting processes while collaborating with various teams.

As a Senior Staff Core Infrastructure Engineer, you will design and manage Kraken's OpenStack compute platform, ensuring stability, scaling, and integration with Kubernetes, while mentoring engineers and participating in on-call support.

As a Staff Software Engineer on the Growth team, you will lead technical projects impacting user acquisition, mentor engineers, and ensure system reliability and scalability.

The SRE/DevOps Engineer will build and support infrastructure, standardize processes, guide engineers on SRE topics, and partner with development teams to eliminate friction.

As a Sr. QA Automation Engineer, you'll create test plans, perform testing, lead automation initiatives, and collaborate with teams to ensure high-quality trading platform features.

As a Senior Software Engineer at Kraken, you will design and maintain backend systems, SDKs, and APIs, enabling efficient growth engineering. You will improve internal tools, enhance developer workflows, and ensure system reliability across multiple teams.

As a Senior Database Administrator, you will manage and optimize MariaDB clusters, enhance database operations through automation, improve security, and collaborate with teams to ensure effective database performance and reliability.

As a Senior Software Engineer, you'll tackle high-impact problems by creating full-stack applications, collaborate across teams, and drive user engagement through strategic engineering solutions fitted for growth.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

As a Senior Software Development Engineer, you will develop complex mapping software, collaborate on tasks, design systems, and promote operational excellence.

As a Senior Backend Engineer, you'll develop core backend solutions for PerfectScale, manage data pipelines, implement features, and collaborate on system improvements.

As a Senior Data Engineer, you'll design and maintain data pipelines, transform raw data into insights, and support multiple teams with reliable data analytics.

The Digital Analytics Consultant will deliver data-led projects, implement tracking solutions, and analyze performance for various clients while collaborating with a team. Responsibilities include managing client requirements and developing dashboards.

As a Data Scientist, you will train, deploy, debug, and evaluate fraud detection models, collaborating with teams to enhance and maintain them.

The Principal Software Engineer will lead the development of the DeepEditor product, mentor engineers, and ensure high-quality technical solutions while collaborating across teams.

The Senior Software Engineer will develop and iterate on an AI adoption platform in a collaborative team, focusing on building features from scratch and addressing engineering challenges.

Design, develop, and maintain scalable data architectures and ETL pipelines, integrating internal and third-party data while optimizing performance and security compliance.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.