Top Python Jobs in London

The Senior Software Engineer will architect and build backend systems, own clinical system integrations, improve performance, and shape engineering culture.

Design and build production-grade systems for an intelligent logistics marketplace, tackling complex challenges and collaborating with stakeholders, while mentoring junior engineers.

The Retention Analytics Manager oversees customer data analysis to enhance engagement and retention, collaborating with various teams to implement data-driven strategies and insights.

As a Consultant in Management Consulting, you will conduct in-depth analysis, develop client-ready outputs, manage workstreams, and engage with healthcare clients to address complex challenges.

The Applied Data Scientist will develop and support complex models, apply machine learning techniques, and solve client problems in data science, particularly in category management.

Contribute to OpenSRE codebase, build integrations, write tests, review community submissions, and work closely with senior engineers in a hands-on role.

The Principal Solutions Engineer will establish client relationships, resolve portfolio issues, manage onboarding, and enhance client satisfaction using quantitative finance expertise.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

As a Founding AI Engineer, you will develop production AI systems with Python and MLOps, ensuring integration into real user workflows, while shaping product direction.

Develop ML systems for autonomous driving, lead projects using RL and deep learning, and collaborate with cross-functional teams to improve Waymo's technology.

The Senior Machine Learning Engineer will design and build ML systems, lead product strategies, and mentor junior team members to improve search and personalization in the New Verticals business.

As a Senior Machine Learning Engineer, you'll lead the development and productionisation of ML models for customer support, ensuring reliability and collaborating with stakeholders for scalable solutions.

The Implementation Engineer will manage software implementations, integrate Stacks with financial systems, provide customer support, and drive process improvements and documentation.

The Solution Architect designs and delivers cloud solutions for clients, coordinating closely with sales and product management, while maintaining expert knowledge in real-time data feeds and related technologies.

The Manager - Site Reliability Engineering ensures the stability and performance of production systems, leads a team, manages incidents, and drives improvements.

Lead the development of the FTSE Russell Index Platform by designing and integrating Java and Python applications with AI capabilities. Guide engineering best practices and mentor junior team members in delivering high-quality, scalable solutions.

Own and ship full-stack product features end-to-end for an open-source LLM observability platform: design specs, implement frontend and backend work (TypeScript/React, ClickHouse, Python), talk to users, write docs, and improve developer experience while collaborating in a small engineering team.

Own and improve Langfuse SDKs (Python and TypeScript), ensuring reliability, performance, API design, integrations with AI frameworks, OpenTelemetry support, documentation, and developer experience.

As a DevOps Engineer, you will build and maintain blockchain networks, enhance infrastructure, handle system administration for Linux servers, create documentation, and apply security best practices.

As a DevOps Engineer, you will build and maintain blockchain networks, manage Linux servers, improve infrastructure security, and automate processes.

Lead the delivery of scalable software solutions to improve patient outcomes in primary care. Collaborate across teams to define requirements and drive impactful changes.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

As a Senior Technical Support Engineer, you will troubleshoot complex API and enterprise customer issues, provide resolutions, mentor the support team, and collaborate with engineering and product teams to enhance product reliability.

The Senior Data Scientist will lead analytical projects, mentor juniors, and apply data science and machine learning to enhance decision-making in insurance processes.

Lead end-to-end customer analytics engagements, translating complex data into actionable insights to support decision-making and compliance. Design advanced analytics workflows and mentor junior analysts while improving processes through innovation and best practices.