Top Python Jobs in London

Partner with Payments leadership to manage P&L and balance sheet, build business cases, analyse product and market performance, drive commercial projects, forecast and report results, design processes, and mentor financial analysts to support strategic financial decision-making.

Rover seeks a Lead/Senior Software Engineer with 7+ years of experience, specializing in frontend technologies like ReactJs and Python. Responsibilities include building customer-facing products, mentoring team members, and promoting engineering best practices. The role includes collaboration on projects and a commitment to inclusivity and diversity in the workplace.

The Hydrologist role involves designing and maintaining quantitative forecasting tools for hydrological variables, integrating them into power generation forecasts. The role requires strong programming skills and familiarity with hydrological modeling.

As a Marketing Analytics & Business Intelligence Analyst, you will analyze data for marketing insights, inform product strategies, and drive business growth through analytics and reporting.

The Data Analyst II will build and maintain datasets and data pipelines for performance optimization, investigate performance data, create dashboards, and communicate insights to stakeholders.

As an AI Software Developer, you'll create AI-driven solutions, collaborate with teams, gather requirements, and manage product deliverables in a financial context.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

The Risk Manager will oversee gas and power trading risks, develop risk management frameworks, and mentor quantitative analysts while ensuring efficient risk-taking and capital allocation.

The Senior Software Engineer will design and maintain backend services, enhance CI/CD systems, and develop scalable AWS infrastructure, while contributing to architectural decisions and ensuring system security and observability.

Lead and manage MySQL architectures for high availability and performance across cloud and on-prem environments. Own clustering, backups, HA/DR, upgrades, monitoring, security/compliance, tuning, automation, releases, and mentor engineers.

Operate and support Kafka clusters (MSK and on-prem), manage Kafka Connect ecosystem (Debezium, KSQL, Schema Registry), troubleshoot producers/consumers, implement HA/backup strategies, automate provisioning (IaC/scripting), monitor and tune cluster performance, support incident response and on-call, and document operational procedures.

As a Senior Software Engineer, you will develop innovative applications, leverage AI capabilities, and work on early-stage software within a team.

The Backend Engineer will develop and maintain backend services and data pipelines to support Miro's AI initiatives, ensuring scalability and reliability.

The role involves developing options trading strategies, applying pricing models, conducting backtests, and mentoring junior researchers, all in a collaborative environment.

The Systems Engineer manages Teza's systems infrastructure, ensures system performance, collaborates with teams, troubleshoots issues, implements security measures, and provides technical support, with on-call responsibilities.

As a Graduate Analyst, you'll analyze data to optimize poker promotions, support campaign evaluation, and develop analytical skills. You'll work with data visualization tools to monitor performance and derive actionable insights.

This role involves building and operating a data platform, delivering reliable data products, and improving engineering workflows with AI and automation while mentoring junior team members.

As an AI Strategist, you'll lead customer engagements, guide teams to address client challenges, ensure user adoption, and influence product development.

The role involves maintaining production servers, managing Python infrastructure, and solving operational issues in a quantitative trading environment.

Manage human data operations for AI model development, overseeing contractor teams, data collection campaigns, and cross-functional communications.

Own the data science strategy for non-lending products, manage projects, collaborate with leaders, and contribute to new product expansion using machine learning and data-driven insights.

The Data Science Manager will lead a team, develop strategies for non-lending products, and manage data science projects while collaborating with senior stakeholders and optimizing product value through data insights.

Develop scalable media intelligence systems, focusing on backend architecture and integration of AI/ML workflows, optimizing media processing pipelines, and ensuring system reliability and performance.

The Aladdin Services Analyst - Vice President manages BlackRock Aladdin solutions for clients, improving operational efficiency, supporting implementation, analyzing requirements, and conducting user training.