Top Python Jobs in London

The Credit & Commercial Senior Analyst will optimize pricing strategies and improve business performance by leveraging strong analytical skills and data insights. Responsibilities include defining strategies, collaborating cross-functionally, and continuously monitoring market trends.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Site Reliability Engineer will enhance system reliability and performance by designing, maintaining, and troubleshooting scalable systems while ensuring security and compliance.

The Principal Solutions Engineer will lead enterprise-level API integrations, mentor teams, and enhance customer engagement through tailored solutions and architectural strategies for complex integrations.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

The Research Engineer/Scientist will develop multimodal AI systems, working on architecture, infrastructure, and data ingestion, while collaborating closely with a team of researchers and engineers.

Lead and mentor a backend engineering team, managing the development of backend systems and data infrastructure for transport data.

Develop and improve the trading platform focusing on C++ and Python, enhancing performance, scalability, and data infrastructure.

The Core Developer will focus on creating and maintaining systems for trading activities, including data capture, reconciliation, and automated settlement, primarily using Python and some C++.

Lead the firm's risk management function, develop risk frameworks, ensure regulatory compliance, and provide risk insights to senior management.

As a Cloud Solutions Architect, you will implement Astronomer's solutions, guide customers with Apache Airflow, and bridge communication between customers, sales, and product teams, enhancing customer operations.

The Senior Technical Support Engineer will lead customer support for technical users, troubleshoot LLM applications, and refine documentation to enhance customer experience.

As a Senior Privacy Engineer, assess and enhance clients' privacy solutions, develop tools in Python, and ensure compliance with data protection regulations.

Responsible for platform development and management, collaborating with stakeholders for requirements, and maintaining code quality by mentoring juniors and performing code reviews.

The Forward Deployed Engineer leads customer-facing deployments of AI models, building full-stack systems, scoping work, and delivering value under ambiguity. They ensure quality delivery and share feedback to influence product improvements.

Provide technical support for Prisma Cloud, troubleshoot complex issues, ensure customer satisfaction, and lead root cause analysis.

Join CoCounsel as a backend engineer to develop Python code and prose prompts for LLMs, enhancing legal applications for attorneys in the UK. You will analyze requirements, write and optimize code, and create LLM-driven user experiences.

Lead an engineering team delivering a stable software stack for autonomous driving, focusing on Linux distribution maintenance and kernel development.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Develop algorithms for wireless communications, manage radio resources, and collaborate on system optimization, requiring in-depth technical knowledge and communication skills.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The Actuarial Systems Consultant will enhance actuarial systems, support external reporting, drive automation, and ensure model accuracy through testing and documentation.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

The Senior Analytics Engineer will enhance decision-making and build data solutions by creating robust analytics pipelines. Responsibilities include collaborating across teams, improving data usability, and deploying tools like BigQuery and Looker.

The Forward Deployed Engineer will collaborate with customers to design and deliver fullstack applications on the Databricks platform, while handling architecture and end-to-end solution delivery.