Top Python Jobs in London

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

As a Software Engineer at Landytech, you will develop and maintain APIs for financial metrics, optimize systems, and collaborate with the team on scalable data solutions.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

The Project Controls Analytics Consultant will develop analytics solutions, support project reporting, engage with stakeholders, and enhance data-driven decision-making across major infrastructure projects.

The Senior Machine Learning Engineer will design, build, and optimize ML models and pipelines for a digital ad exchange platform, focusing on real-time inference and integration within data infrastructure.

The Senior Infrastructure Engineer leads infrastructure management and cloud architecture initiatives, managing both Apple and Windows estates while mentoring junior engineers and enhancing automation solutions.

The Associate - Actuary role involves structuring reinsurance programmes, supporting portfolio analysis, client advisory, developing actuarial models, and mentoring junior analysts.

The Senior Applied ML Engineer will build and maintain production ML systems for catalogue decision-making, improving data quality, product categorization, and discoverability.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Head of Engineering/CTO will lead technical direction, manage architecture, oversee engineering hiring, ensure system reliability, and drive automation and AI integration.

This role involves leading engineering teams in the AI Platform, guiding delivery, supporting team growth, and ensuring technical alignment. Responsibilities include managing priorities, fostering collaboration, promoting best practices, and providing technical oversight and strategy to enhance platform capabilities and team dynamics.

Lead the vision and delivery of Capita's enterprise data ecosystem, owning the Enterprise Data Platform and driving technical leadership, innovation, and stakeholder engagement in data and analytics technology.

Lead the Credit Risk Oversight team to assure effective credit risk management, influence credit strategy, and ensure compliance with regulatory requirements while leveraging innovative technology.

The Graduate Machine Learning Researcher will design, test, and implement machine learning models to improve predictive accuracy in sports betting analytics. In a collaborative environment, they will interface with experienced professionals and be involved in R&D from design to implementation, utilizing their mathematical insights.

In this pre-sales role, you will leverage AI and NLP expertise to design solutions for clients, coordinate with teams, present customer proposals, and ensure successful project implementation.

The Analytics Manager will enhance telematics product profitability through analysis of data trends, support pricing strategies, and provide actionable insights to stakeholders while mentoring junior analysts.

The Analytics Manager - Telematics will analyze telematics product profitability, support pricing strategies, mentor junior analysts, and present insights to stakeholders.

The Software Engineer in Site Reliability Engineering will develop tools for troubleshooting, enhance operational reliability, automate processes, and collaborate with teams to promote SRE practices.

The AI Deployment Engineer will guide enterprise customers in deploying Generative AI applications, ensuring business value realization and managing project lifecycles from prototyping to production.

As a Senior Backend Engineer, you will design solutions, produce quality code, manage production incidents, mentor colleagues, and work with diverse tech stacks.

Design, develop, and deploy software solutions while collaborating with teams, contributing to technical discussions, and enhancing engineering best practices.

As a Forward Deployed AI Engineer, you'll design and deploy AI solutions for enterprise customers, integrating AI agents with existing workflows and ensuring optimal performance through collaboration and documentation.