Top Python Jobs in London

Lead the development of the NODE platform for secure crypto trading, manage product lifecycle, and collaborate with cross-functional teams.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Join Corgi as a Founding Engineer to architect and ship AI-native insurance systems, taking ownership of product surfaces and ensuring compliance with US regulations.

As the senior ML Engineer, you'll design and launch production LLM systems and workflows for major clients, driving AI adoption in marketing.

The Senior Cryptography Verification Engineer will verify security-critical designs, develop UVM testbenches, automate tools with Python, collaborate with teams, and mentor junior engineers.

Manage a live trading book while utilizing cutting-edge agentic AI solutions. Responsible for risk management, strategy development, and model building within a quantitative trading environment.

The Solutions Architect builds relationships with executives to provide technical advice, drive solution adoption, and accelerate business growth by aligning Stripe's solutions with customer needs.

As a Technical Solutions Consultant at Zip, you will integrate and document the Zip platform into customers' IT systems, work closely with clients to meet their requirements, and improve integration processes.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Lead Product Engineer responsible for technical leadership, product development, cloud architecture, AI integration, prototyping, and problem-solving in a data engineering context.

The Lead Software Engineer will enhance the WMX platform, collaborate across teams to develop technical solutions, coach junior engineers, deliver projects, and ensure effective coding practices.

Lead engineering practices across the organization focusing on operational practices, efficiency initiatives in Cloud and Software Development, and mentoring engineering teams.

Design, build, and optimize intelligent systems using AI techniques to solve real-world problems. Responsibilities include data processing, model development, and collaboration.

The Senior AI Engineer will develop AI capabilities, maintain server infrastructure, implement evaluation frameworks, promote AI practices, and collaborate with teams to enhance AI adoption.

As a Data Analytics Audit Manager, you will lead data analytics engagements, collaborate with audit teams, manage large datasets, and drive automation in audit processes while mentoring junior colleagues.

The Solutions Architect will design and implement technical marketing solutions for customers, ensuring integration with various data systems and advising on best practices for usage of the Attentive platform.

The Platform Engineer will manage trading and research environments, focusing on reliability and efficiency while collaborating with cross-functional teams to improve operational practices.

The Senior Client Success Director leads strategic client relationships, driving account growth and retention through advanced analytics and effective project delivery while managing a high-performing client success team.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

The intern will collaborate with a team to develop and implement quantitative trading signals and models, focusing on statistical methodologies in quantitative finance.

The Lead NoSQL Engineer will manage NoSQL databases, lead a team, support database operations, and oversee infrastructure automation while ensuring optimal performance and mentoring.

The role involves managing client data needs, designing data solutions, ensuring governance, and improving data delivery processes while collaborating with various stakeholders.

The Associate Director will lead data visualization efforts, manage client relationships, oversee project management, develop dashboards, and mentor team members.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.