Top Python Jobs in London

As an Observability Engineer, you'll design systems for telemetry management, build scalable pipelines, and contribute to industry observability standards. Responsibilities include extending OpenTelemetry and enhancing incident response with telemetry data.

You will develop backend software for AI/ML applications, define and deploy infrastructure, integrate components, and ensure high software quality through testing and documentation.

The POV Solutions Engineer configures Mimecast solutions for customer environments, ensuring effective deployment and collaboration throughout the pre-sales process.

Lead pricing for Cyber and Delegated Authority within Financial Lines. Develop pricing models, analyze portfolio performance, partner with underwriters, and stay updated on Cyber trends.

Architect and build AI-driven products, lead feature design, communicate technical concepts, and mentor other engineers while contributing to AI technical vision.

The Senior Software Engineer will design and develop scalable systems, improve software quality, and integrate AI tools while mentoring team members.

As a Senior Software Engineer, you'll enhance developer productivity by improving infrastructure, integrating AI tools, and ensuring seamless workflows for product teams at Multiverse.

The Data Scientist will focus on product growth by analyzing user engagement and driving insights into activation, retention, and monetization across the Creative Platform.

The RAD Developer will build and maintain trading tools for traders, requiring skills in C#, Excel, and SQL while ensuring timely delivery of solutions.

The role involves bridging AI research with design by evaluating models, prototyping solutions, curating datasets, and collaborating across teams to enhance design workflows.

As a Junior Software Engineer, support development and reliability of Fogsphere’s AI platform, focusing on Python, JavaScript, CI/CD, and infrastructure reliability.

As a Senior Platform Engineer, you will design and improve the infrastructure for language learning, enhance reliability and observability, and automate deployments.

The Growth Engineer will enhance customer journeys through personalized web experiences, build attribution systems, analyze data, and improve conversion rates. Responsibilities include creating interactive demos and A/B testing frameworks to drive revenue growth.

As a Senior Fullstack Engineer, you will design and engineer large scale systems, collaborate in cross-functional teams, embrace DevOps culture, and mentor colleagues using various technologies to enhance business banking solutions.

Develop and deploy graph-based ML models for supply chain risk analysis, collaborate with teams, and lead AI advancements.

As a Site Reliability Engineer, you will ensure system reliability, scalability, and performance while implementing infrastructure as code, managing incident response, and collaborating with engineering teams.

The internship involves assisting with reconciliation, addressing trader queries, improving processes, and learning about trading products and markets.

The Product Owner will enhance the trading platform for CFD and spread betting by leading roadmap delivery, translating business needs into product specs, and collaborating with tech teams.

Design and implement a cross asset pricing and risk system. Collaborate with quants and stakeholders, utilizing advanced computational technologies and ensuring best practices.

The role involves managing storage solutions, troubleshooting issues, conducting investigations, and extending IaC pipelines. Collaboration with teams and vendors is key.

Interns will engage in a 10-week program focused on quantitative research, applying mathematical and computational analysis to financial datasets while being mentored by experienced researchers.

As an ML intern, work on a significant research project utilizing machine learning techniques, supported by experienced mentors, culminating in a presentation of findings.

The Lead Data Engineer will manage a data engineering team, oversee data pipeline operations and drive the migration to a new data stack while ensuring data quality and governance.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.