Top Python Jobs in London

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

As a Data Scientist, you will collaborate with trading and engineering teams to design data pipelines, onboard datasets, and innovate data extraction methods for investment decisions.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

The Operations Associate will support crypto trading operations, handle trade capture and settlement, streamline processes, and collaborate with various teams to enhance workflows.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Develop and maintain HPC platforms, optimize workload scheduling, improve performance, and support team development in a collaborative environment.

As a Release Engineer, you'll develop solutions to enhance the software release process, optimize testing, and ensure high-quality code deployment.

The role involves managing the product lifecycle for Futures, OTC Clearing, and FXPB, overseeing projects, analyzing P&L, and ensuring compliance with regulations.

The Account Solution Engineer accelerates customer adoption of the Snowflake AI Data Cloud through technical enablement, strategic guidance, and effective program delivery.

The Technical Production Manager manages dialogue production across multiple projects, ensuring quality service, timely deliverables, and budget adherence with a focus on communication and resource allocation.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.

The Senior Enterprise Architect leads the design and implementation of network and cloud architectures, ensuring alignment with organizational goals and industry practices. Responsibilities include defining architecture frameworks, advising on cloud adoption, ensuring security compliance, and managing cross-functional teams.

The Sales Engineer supports sales teams with technical input during the sales cycle, participates in demos, assists with technical documentation, and collaborates with various teams for product positioning and customer feedback.

As an Equities Quant Platform Engineering Lead, you will guide technical direction, implement a quantitative platform, and mentor junior engineers while ensuring quality and scalability of the system.

The VP, Systems Engineer will design, build, and operate hybrid infrastructure, ensuring production reliability and compliance while maintaining data center operations and spearheading automation and incident response efforts.

Provide technical support, troubleshoot issues on various platforms, manage escalations, implement process improvements, and support VIP incidents and requests.

The Senior Analyst will develop user-friendly quantitative tools and models for credit ratings, collaborate with teams, and improve data analyses for U.S. Public Finance, International Public Finance, and Sovereign portfolios.

As a Senior Data Analyst, you will develop analytics tools, automate workflows, collaborate with teams, interpret data, and provide actionable insights.

This role involves gathering regulatory requirements, translating them into specifications, improving surveillance processes, and collaborating with engineering teams using SQL and Python.

The role involves backend engineering, designing scalable systems, integrating AI, and consulting with clients on technical solutions while also requiring frontend contributions as needed.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Lead the technical delivery of AI-powered digital twins, mentor data scientists, and guide project teams in data science methodologies to optimize outcomes for clients, especially in healthcare.

The role involves designing and managing cloud infrastructures, leading Kubernetes deployments, troubleshooting technical issues, collaborating with teams, and mentoring junior members.