Top Python Jobs in London

The Senior Machine Learning Engineer will design, implement, and validate algorithms for search and personalization across grocery and retail delivery, leading technical initiatives and mentoring junior members.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Deliver high-quality offensive security assessments for various client projects, produce reports, and support sales with technical input. Research new methodologies and collaborate with teams.

Responsible for analyzing and modeling electricity grids, providing techno-economic assessments, and supporting grid development plans using advanced power flow modeling techniques.

The Client Services Manager will oversee client onboarding and retention, ensuring positive customer experiences and alignment with customer objectives through collaboration with various teams.

Lead the development of AI-driven software products, mentor engineers, and influence architectural decisions, ensuring product reliability and scalability.

The Finance Operations Analyst processes invoices, manages accounts payable, performs reconciliations, and supports financial reporting, while improving processes through automation.

As a Senior ML Systems Engineer, you'll build and optimize data platforms and ML infrastructure for large-scale datasets, focusing on performance and reliability in multimodal environments.

The Engineering Manager will co-own product delivery, grow and support their team, promote cross-functional alignment, drive operational excellence, and contribute hands-on when necessary.

The role involves designing clinical development programs, conducting statistical analyses, and ensuring evidence aligns with global strategies for Access and HTA needs.

As a Pricing Automation Engineer, you will develop and optimize data pipelines and pricing workflows using Python, and ensure accuracy in automated trading decisions through analytics and collaboration.

The Pricing Manager will manage Home trading leverage pricing levers, enhance trading performance using data, and handle price changes from concept to implementation. Insurance experience is preferred, along with strong communication and stakeholder management skills.

Lead backend and edge/IoT engineering, implementing scalable solutions and mentoring team members while collaborating with Data Science teams.

Maintain and QA daily multi-factor risk models, quantitative indices, and multi-asset data analytics. Monitor markets and corporate events, analyze large financial datasets, support client inquiries, streamline data production processes, and collaborate with global teams to ensure accurate index and data product delivery.

Design and maintain production platforms using Kubernetes and other tools, address operational issues, and collaborate with client engineering teams to optimize infrastructure solutions.

As a Senior Software Engineer, you will work on deploying and monitoring ML systems and core platform engineering tasks while collaborating within an AI Engineering team.

The Lead Portfolio Insights Analytics oversees a global team, drives data strategy for real estate portfolios, engages stakeholders, translates business requirements, identifies data opportunities, and ensures data quality.

As an Analytics Engineer, you'll design and maintain data models, partner with product teams to provide insights, and ensure data accuracy and governance, contributing to a scalable data platform.

The Product Strategist will lead strategic initiatives and onboarding, manage ETRM system ownership, collaborate on product solutions, and oversee project execution in energy commodities.

Support the Compliance Technology team by defining system architecture, implementing best practices, and collaborating with stakeholders; responsible for AML platform development and integration with third-party data providers.

The role involves designing, developing, and supporting cloud and AI solutions primarily on Azure, including automation and integration components, while ensuring security and compliance.

The IT Operations Automation Engineer develops and oversees automation for IT, identifying opportunities and providing support while using scripting and various platforms.

Lead the Portfolio Analytics function for evergreen vehicles, focusing on data-driven portfolio decision-making and risk analysis. Oversee a team, collaborate with Portfolio Management, and enhance analytics sophistication.

The role involves supporting analytics and reporting using SCOR's data platforms, developing dashboards, validating data, and collaborating on reporting requirements.

The Trading Systems Support Analyst provides support for OMS and market data systems, works with traders, enhances Python frameworks, and manages system health reporting.