Top Python Jobs in London

Develop and enhance high throughput, Linux-based services within a core pricing and risk platform. Collaborate with traders and quants, focusing on low latency and distributed systems in C++ and Python.

The Director, Application Development Manager will lead the design and delivery of a greenfield Corporate Actions Processing Engine. Responsibilities include overseeing technical delivery, implementing AI capabilities, and mentoring teams while ensuring alignment with architecture standards.

As an IAM Engineer, you'll manage privileged access, deploy PAM tools, implement secrets management, enforce access controls, and ensure compliance with security standards.

Lead and grow a Data Science chapter, architect and deliver AI/ML/LLM solutions, establish MLOps and governance, mentor junior staff, collaborate with engineering and business stakeholders to drive productionised analytics and innovation.

As a Senior Site Reliability Engineer, you'll develop automated infrastructure solutions for law enforcement systems, focusing on cloud platforms and coding best practices while collaborating with engineering teams.

The Machine Learning Researcher will build deep learning models for trading strategies, collaborating with a team to optimize systems and approaches to tackle market challenges.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

As a Senior Account Manager at V7, you'll manage customer relationships, drive account growth, and support AI agent deployment while ensuring high customer satisfaction.

The role involves producing regulatory IRRBB reporting, ensuring accuracy, developing ETL processes, and managing risk reporting outputs.

As a Senior Data Scientist, you'll develop predictive models that drive business decisions, work with data engineers on infrastructure, and collaborate with various stakeholders to improve operational effectiveness.

As a Graduate Data Scientist, you'll engage in AI and machine learning projects, transforming financial data into automated lending decisions while collaborating across teams and developing product features.

The Senior Full Stack Developer will build intuitive React interfaces and resilient Python backends while implementing automation and AI features for telecom operators. Responsibilities include developing scalable web applications, optimizing data processing, collaborating with product teams, and maintaining technical quality.

Lead a team to develop and optimize lending strategies for credit card portfolios, balancing growth, risk, and customer outcomes using data-driven insights.

The Technical Artist will aid in optimizing an AI-driven creative production pipeline, transforming concepts into high-quality 3D outputs, troubleshooting technical issues, and maintaining asset organization.

The role involves leading the technical direction, automating processes in industrial recyclers, managing architecture decisions, and deploying technology at production sites.

As a Product Documentation Engineer, you'll own documentation processes, create automation tools, integrate AI, and collaborate across teams to enhance technical documentation.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

The Engineering Manager will lead a software engineering team, overseeing delivery, quality, and technical direction while managing development processes and fostering team growth.

Lead the operating model for the product organization, measure performance, manage product tooling, ensure go-to-market readiness, identify systemic issues, and build knowledge infrastructure.

The Marketing Technical Virtual Assistant will manage automation, build marketing funnels, handle ad campaigns, and support technical operations for marketing.

As a Principal Consultant Engineer, you'll lead projects, develop industrial process models, ensure customer satisfaction, and support project delivery and training.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The Lead Network Engineer will oversee global network projects, ensuring security and efficiency while providing mentorship and support for network design and automation within a multi-region environment.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.