Top Python Jobs in London

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

The Billing System Engineering Manager leads a software engineering team to develop a billing system, ensuring accurate and reliable customer billing. Responsibilities include collaborating with business teams, improving processes, and mentoring engineers.

You will build and maintain container images, automate CI/CD processes, engage with the community, and mentor junior team members in a collaborative environment.

Lead Python Software Engineer responsible for developing solutions, collaborating on designs, mentoring team members, and enhancing engineering practices.

The Growth Engineer at Canonical drives product adoption through data analysis, campaign ownership, and cross-functional collaboration to improve marketing strategy and outcomes.

The Systems Integrations Engineering Manager leads the integrations team, overseeing software engineering projects to automate business processes using Python and Go.

We are looking for a Senior Fullstack Software Engineer to join our team, working on building and optimizing systems for electric car leasing.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Join our engineering-led team, shipping innovative features and enhancing developer experience across our stack, including frontend and backend. Collaborate on architecture and continuously improve services.

Design, build, and maintain backend systems for products, focusing on APIs, data models, and distributed systems. Collaborate with teams to ensure system reliability and performance.

The Technical Account Manager supports customers by troubleshooting integration issues, collaborating with teams, creating documentation, and ensuring smooth onboarding of clients.

As a Computer Vision Engineer, you'll design and optimize algorithms for computer vision, develop systems for large-scale image datasets, and integrate with hardware teams to improve the computer vision pipeline.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As a Platform Solution Architect, you'll lead teams to design and deliver cloud solutions, champion DevOps culture, and develop talent within Kainos.

As a Platform Technical Architect, you will lead teams in developing cloud solutions, design digital service platforms, and provide technical leadership while fostering a DevOps culture.

The Customer Support Engineer will provide technical support for customers using Zimperium's mobile security solutions, ensuring satisfaction and resolving issues in collaboration with internal teams.

As Lead Data Scientist, you'll lead a data science team, drive analytics solutions using AI, mentor junior talent, and coordinate cross-chapter efforts.

The Senior Manager of Infrastructure Reliability and AIOps Engineering leads operational outcomes for incident management, automation, and reliability across multiple platforms and teams, focusing on improving reliability and reducing incidents through AIOps practices.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

Design and develop advanced analytics applications, convert data-science concepts into products, and ensure software quality through collaboration and modern practices.

The Marketing Technical Virtual Assistant will manage automation, build marketing funnels, handle ad campaigns, and support technical operations for marketing.

The Senior Machine Learning Engineer will develop machine learning solutions for online gaming platforms, improving security and user experience through data-driven decisions, while collaborating cross-functionally.

Lead and develop digital trading algorithms, manage a team of data scientists, and collaborate with business partners to enhance trading capabilities.