Top Python Jobs in London

As a Senior Research Engineer, you will lead the development of conversational AI models, improve core capabilities, and manage research projects from prototype to production.

The Lead Computer Vision Engineer will lead technical delivery of computer vision projects, develop state-of-the-art AI solutions for defense, and mentor team members.

Lead the strategy, design, and delivery of scalable engineering systems for quantitative research, guiding a team to enhance developer and research experiences.

The Lead Network Operations Engineer will manage network performance, security, and automation, responding to incidents, and enhancing operational processes through improved observability and efficiency.

The Senior Site Reliability Engineer will lead architectural changes, manage Kubernetes platforms, troubleshoot production issues, automate infrastructure, mentor engineers, and enhance AWS services.

The MS Cloud Infrastructure Engineer manages cloud infrastructure deployment, supports operations, coaches junior engineers, and evaluates hardware/software solutions.

The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.

As a Software Engineer, you'll develop low-latency trading applications and infrastructure, focusing on optimization and system performance in a fast-paced environment.

The Tax Automation & Systems Manager will enhance tax efficiency through automation, optimize financial systems, and manage data workflows and compliance reporting.

Lead alpha research for commodities futures, developing and deploying systematic trading strategies, ensuring performance monitoring and collaboration with quant developers.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Provide support and delivery services to clients on Murex standards, manage implementations, defect corrections, and conduct training sessions.

The TOSCA Architect/Test Automation Lead will drive automation strategies for SAP transformation, implement automation frameworks, improve regression efficiency, and mentor automation engineers.

As a key member of the Market Access team, you will build market access systems, handle trading gateways, and collaborate with various teams at QRT.

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

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

Analyze network and exchange protocols, automate performance metrics, and optimize high-frequency trading infrastructure for improved trading operations.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

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

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

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

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.

The role involves designing and backtesting thematic equity indices, developing Python tools for index construction, and collaborating with clients and the research team.

The Pricing Transformation Actuary will lead the development and implementation of a new pricing model system, ensuring compliance and scalability, while managing stakeholder engagement and transformation processes.