Top Python Jobs in London

The Staff Software Engineer will design and implement a modern cloud-native healthcare platform using Elixir, enhancing access control, system reliability, and workflow efficiency.

As a Staff Software Engineer, you will drive technical execution and collaboration across teams, enhancing project timelines and leading solutions for business problems.

The Analytics Engineer II will develop data products, optimize data schemas, build data pipelines, and collaborate with teams to improve data quality and insights.

The Vice President will oversee securities lending transactions, enhance trading systems, manage client relationships, and improve trading processes using AI and LLM technologies.

The Product Support Specialist - Institutions acts as the product expert for clients, providing technical support, guiding product use, and enhancing client engagement through training and tailored solutions.

The Product Support Specialist provides technical support, collaborates with teams, develops automation scripts, and mentors juniors to improve customer experience.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Fullstack Engineer will focus on DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.

The Senior Software Engineer will implement features, collaborate with the developer community, and support product troubleshooting while utilizing expertise in Java, Python, and containerization technologies.

As Wave's first Performance Engineer, you will establish performance engineering for systems across Python, GraphQL, and databases, focusing on scalability, efficiency, and best practices. You'll profile performance, partner with developers, and create testing frameworks to enhance system performance for millions of users.

Develop, architect, and deliver software tools and services for internal processes. Collaborate across teams to enhance efficiency in operations and data management.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

As a Staff Data Scientist, you'll develop predictive models for cash flow, analyze diverse data sources, improve customer experience, and monitor model performance.

As a Software Engineering Intern, you will build scalable solutions, write production-ready code, and work with interdisciplinary teams.

The Technical Account Manager guides customers in integrating optimization technology into software solutions, ensuring effective implementation and maximizing business value while providing training and support.

The Web Developer will create and maintain high-quality web applications, collaborating with designers and other developers to enhance user experience while adhering to web standards and best practices.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

As a Principal AI Engineer at DataCamp, you will build and evolve an AI tutoring system, collaborate cross-functionally, run experiments, and contribute to a culture of continuous learning.

The Senior Application Developer will create applications on D-Wave's quantum computers, collaborate with stakeholders, and solve complex problems using algorithms in Python.

Design and implement reliable production AI systems, lead development of natural-language interfaces, and mentor engineers. Collaborate across teams to create scalable AI solutions and instill engineering best practices.

Lead end-to-end credit model development, set modelling standards, monitor model performance, and manage a data science team to enhance B2B lending products.

The Data Lead/Head of Data will architect a data function, oversee team building, and improve decision-making through data insights to support nonprofits' funding access.