Top Python Jobs in London

Lendable seeks a full-stack Python engineer to enhance operational efficiency by developing web applications and automations across its core products. The role involves collaboration with Product, Data Science, and Analytics teams to implement features that optimize customer service operations.

Lendable seeks a Fullstack Software Engineer to build web applications and automations, enhancing operations efficiency using Python and modern web frameworks.

As a Python Developer, you'll lead the development of internal applications and automations using Python and modern JS frameworks, contributing to operational efficiency at Lendable.

The Senior Backend Engineer will design and build scalable backend systems, manage projects from design to deployment, write clean code, and collaborate with product teams to address customer problems.

As a Staff Software Engineer, you'll lead development and architecture design, mentor engineers, and implement impactful projects in a fast-paced environment.

The Product Engineer will build end-to-end features focused on user experience, working closely with teams to drive customer-centric product development and solutions across the full stack.

The Junior Investment Risk and Performance Analyst will support investment teams by automating reports, monitoring risk metrics, and maintaining databases using Python and SQL.

Develop and maintain features for a notification platform, upgrade applications, enhance monitoring, and support migration for a public sector client.

The Data Scientist will analyze multi-omics data to identify drug targets, collaborating with internal teams and scientists to develop computational models and communicate findings.

As an AI Engineer, you'll develop and enhance ML products, focusing on NLP and cloud-based solutions while collaborating with experts to innovate in regulatory compliance.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

The Data Development Integrator manages vendor relationships, drives engineering triage, promotes collaboration within the team, and improves data quality through effective management of vendor datasets.

Deliveroo seeks a Senior Data Scientist to enhance decision-making using machine learning, analysis, and experimentation while collaborating with stakeholders across various business areas.

The Senior Software Engineer will develop trading software, collaborate with trading teams, and ensure clean, testable code using agile methodologies.

As a Technical Support Engineer, you'll troubleshoot technical issues, collaborate on product improvements, build internal tools, and manage incidents for clients in a fintech environment.

Lead the design and architecture of Snowflake's Cloud Data Platform, working with customers to demonstrate its value, while maintaining industry technology insights.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The role involves building and improving observability systems for large-scale infrastructure, focusing on telemetry, monitoring, and operational reliability. Candidates should have deep experience in observability and large-scale data pipelines.

As a Compute Operations Engineer, manage reliable scalable research platforms, automate systems using Kubernetes, and collaborate on technology standards.

Lead cross-market experimentation for EMEA clients, developing testing frameworks, operationalizing enablement processes, and collaborating with analytics teams for improved media decisions.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

During this 6-month internship in the Operations team, you will assist with operational projects, process improvements, and documentation while gaining exposure to trading activities and workflows.

The role involves automating data centre processes, integrating vendor APIs, and collaborating with engineering teams to enhance a high-performance research platform.

Develop and maintain a scalable research platform supporting distributed computation, large-scale backtesting, and rapid experimentation. Build user-friendly, reusable APIs and libraries, integrate research workflows with production deployment, and ensure high code quality via automated tests and CI/CD. Collaborate closely with researchers and engineering teams to design and implement new framework features.