Top Python Jobs in London

The role involves leading stock coverage, conducting thematic research, presenting to clients, managing data, and building relationships within the investment community.

The Infrastructure Specialist will support, maintain, and enhance core infrastructure, ensuring systems' reliability and optimal performance, resolving complex technical issues, and collaborating on IT initiatives.

The Site Reliability Engineer will ensure system reliability and performance by implementing monitoring solutions and optimizing incident management, collaborating with cross-functional teams to enhance operational efficiency.

The Platform Engineer will design and implement cloud infrastructure and tooling for ECM applications, focusing on reliability and efficiency in a collaborative engineering team.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

As a Data Software Engineer, you will enhance reference data products, establish technical direction, and ensure data quality and compliance within trading systems.

As a Senior IT Services Engineer, you will design, implement, and support solutions across various technologies, driving automation and operational resilience.

The Head of Commercial- Revenue Management will develop pricing strategies, optimize margins, manage P&L impacts, and lead a team while collaborating with various stakeholders.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

The role involves converting Python research models into C++ for high-performance trading systems, backtesting, and collaborating with research teams to enhance trading strategies.

As a Software Quality Engineer at WRITER, you'll ensure high-quality, reliable AI-powered applications through comprehensive testing, automation frameworks, and collaboration with cross-functional teams, impacting global companies’ AI implementations.

The Staff Engineer will lead the design and evolution of backend and ML infrastructure systems to enhance Spotify's content intelligence capabilities, focusing on scalable and reliable content processing across multiple media types.

The Forward Deployed Engineer will work directly with customers, integrating and optimizing AI solutions, building features, managing APIs, and improving applications based on feedback.

Analyze operational data to improve efficiency, support process optimization, maintain reports, assist in project management, and ensure data accuracy.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

As a Staff Data Analyst, you will develop strategic insights for key product domains, lead analytical investigations, own impact modeling, and ensure alignment of metrics with company goals. You will partner with senior stakeholders to influence strategy and elevate analytical standards across teams.

As a Senior Keying & Linking Analyst at Equifax, you'll apply data mining techniques, develop matching algorithms, and collaborate with teams to improve data quality and match accuracy.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

Design and develop Java and Python applications, lead projects, and mentor junior developers. Ensure robust application testing and support production issues.

Lead the development of machine learning models to predict delivery risks, integrate insights into dashboards, and collaborate with stakeholders for data-driven decision making.

Develop enhancements for quantitative, data-intensive products, improve service models, support live runs, and optimize solutions based on client outcomes.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

The Palantir Technical Architect will design and deliver technical components for data solutions, manage teams, and ensure standards are upheld.