Top Python Jobs in London

Join the research technology team at XTX Markets to work on coordinating the design of datacentre infrastructure, hardware selection, operating system tuning, storage management, and network orchestration. Develop software for managing fair distribution of work on a high-performance compute cluster supporting daily trading volumes of over $300bn. Collaborate with researchers to optimize system performance and reliability. Previous financial services experience not required. Requires 5-10 years of relevant experience and strong coding and networking skills.

As a Senior/Lead DevOps Engineer at Quantexa, you will work on the Quantexa Cloud Platform, focusing on improving availability, resilience, usability, and security. Your role will involve cloud-based infrastructure management, mentoring junior engineers, and collaborating with software teams to leverage DevOps techniques for software release and product offerings.

The Software Engineer will develop user-friendly voice automation solutions for clients using a no-code platform, lead third-party tool integrations such as Salesforce and Zendesk, serve as a key contact for enterprise solutions, and collaborate with a diverse engineering team to enhance system functionality.

Looking for a Senior Fullstack Engineer to work on developing and scaling the Lightning AI platform from the frontend, CLI, and API to billing, security, and integrations. Opportunity to create groundbreaking technology that will transform the machine-learning ecosystem.

As a Tech Ops Lead, you will manage a team to build and operate a ML-based software platform. Responsibilities include technical guidance, building operational processes, collaborating across teams, and contributing to strategic goals. You will also ensure effective management of cloud infrastructure and DevOps practices.

As a Full-Stack Engineer, you will develop the Uncountable Web Platform focused on front-end and back-end tasks for data analysis-driven user interfaces. Your work will support scientists in uploading and analyzing experiments, contributing to a development platform used by Fortune 500 companies.

The role involves leading and managing data strategy for Private Markets at Aviva Investors. Responsibilities include developing and implementing strategies for data optimisation, ensuring data-driven decision-making, and improving data management practices while collaborating with various teams.

As a Data Engineer at Methods Analytics, you'll develop and implement data solutions using platforms like Azure and PowerBI while ensuring data quality and integrity. You'll collaborate with cross-functional teams, design ETL/ELT pipelines, and create data models to support strategic decisions.