Top Python Jobs in London

The Software Engineer will develop backend services and APIs for self-service portals, integrate third-party software, and improve existing systems while collaborating closely with Product and Design teams.

As a Senior DevOps Engineer, you'll design and manage cloud platforms, automate deployment processes, and mentor junior engineers while collaborating on financial services projects.

The Principal DevOps Engineer will lead cloud-based platform design, implement DevOps strategies, and mentor engineers in a collaborative environment.

The Lead Product Analyst will analyze data to enhance user onboarding and account access, collaborating with cross-functional teams to provide insights and improve product features.

As a Software Engineer on the Catalog Insights team, you will deliver key product capabilities, design data pipelines, and collaborate cross-functionally on technical solutions to enhance customer experiences.

The Senior Value Engineer partners with customers to enhance efficiency and value using Celonis technology through workshops, business cases, and model expansion.

As a Senior Value Engineer, you will lead technical pre-sales engagements, analyze customer data using SQL and Python, and facilitate workshops for measuring value in the public sector and regulated industries.

As a Senior Solutions Consultant, you will lead technical pre-sales engagements, analyse customer data using SQL and Python, and create value narratives for public sector clients, facilitating workshops and engaging with senior stakeholders.

The role of Cloud Solutions Architect involves providing technical guidance to sales teams, educating customers on cloud products, and working closely with product teams to improve offerings. Responsibilities include customer engagement, technical presentations, and collaboration with engineering to address product gaps.

Develop ML products and AI-based experiences for Snapchat, focusing on image and video generation, collaborating with multiple teams to integrate models and gather feedback.

Develop ML products and AI Lenses for millions of users, focusing on image/video generation, AR experiences, and collaborating with cross-functional teams.

Lead analytics efforts in the Financial Crime Platform team, collaborating with Product and Engineering to utilize data for combating financial crime, building metrics, reports, and machine learning integrations.

The Analytics Manager will own liquidity management, build models for asset liquidity, optimize tradeoffs and lead risk strategy for the team.

The Senior Software Engineer will develop systems for compliance in driving operations, work with diverse technologies, and mentor junior team members.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The SOC Analyst monitors and investigates alerts for cyberattacks, collaborates with teams to mitigate threats, and communicates with customers during incidents.

The Data Analytics Analyst will support Internal Audit by utilizing data analytics to assess risks and improve audit processes. Responsibilities include developing audit tests, collaborating with stakeholders, and implementing data analytics tools, requiring SQL and programming skills.

Lead and analyze quantitative UX research to improve customer onboarding and product experiences. Collaborate with cross-functional teams to influence product decisions and establish rigorous metrics.

The Operations Engineer supports the market data application stack, ensures operational excellence and reliability, and implements monitoring and automation improvements.

Designs and maintains automated systems for large-scale malware processing, unpacking, and indicator extraction. Improves analysis workflows and builds frontend/backend tools for threat intelligence, enhancing data quality and scale to support analysts, incident responders, and threat hunters.

As a Data Engineer, you will enhance data governance and integration processes, maintain data pipelines, and support data-related needs for analytics and product teams.

The Senior Data Engineer designs high-scale data solutions, mentors junior engineers, and improves the data architecture for analytics, focusing on data integration, testing, and real-time pipeline development.

The Digital Analyst will drive strategic decisions by analyzing user behavior, optimizing performance, and delivering actionable insights for digital platforms at Tapestry.

Develop full-stack web-based analytics and trading applications for pre-trade and risk management, collaborating with portfolio managers and quant analysts.

Design, develop, test, and deploy automated trading system software solutions in collaboration with Quantitative Researchers, utilizing sophisticated statistical techniques.