Top Python Jobs in London

Lead customer-facing AIOps engagements as a senior solutions architect: design and implement BigPanda solutions, drive enterprise implementations, mentor architects, influence stakeholders, and ensure value realization and operational resilience.

Design, implement, and maintain scalable backend services and APIs for a live mobile game platform. Ensure performance, reliability, and uptime; collaborate with DevOps, QA, data, and product teams; mentor junior engineers; participate in incident response, testing, and technical documentation.

Own top-of-funnel growth for a B2B fintech SaaS: design self-sustaining paid and organic acquisition loops, run weekly A/B and multivariate experiments, lead website CRO with heatmaps/session recordings, build lead-capture tools, run ABM plays with Sales, and own the analytics stack (UTM, GA4, attribution) using SQL/Python and BI tools to track CAC/CPL and optimize conversion.

Lead client-facing data platform architecture and strategy. Design scalable Databricks/Azure or AWS-based solutions, oversee multi-team delivery, incident response, governance, and data security. Mentor engineers, drive roadmap and budget decisions, and ensure resilient, high-quality data pipelines aligned to business goals.

Own end-to-end features across frontend and backend: design scalable APIs and data models, build polished React UIs, manage AWS infrastructure and CI/CD, set technical direction, and ensure performance, reliability, and security in a fast-moving startup.

Lead development and implementation of analytics and predictive models to support R&D Quality oversight across clinical, safety, laboratory, and vendor data. Build dashboards, risk indicators, automated monitoring, and audit-support tools; integrate complex data to identify portfolio-level risks and translate findings into actionable quality recommendations that support GCP/GVP/GLP/GCLP compliance and inspection readiness.

Design, develop, and enhance Cority software and client solutions. Lead technical decisions and teams, produce production-ready code, implement CI/CD, perform code reviews, mentor junior developers, collaborate with Product Owners, support and maintain systems, and own functional areas or projects.

Design, develop and maintain security automation workflows and playbooks to improve SOC detection, triage, enrichment and response. Build integrations with SIEM, SOAR, EDR, cloud platforms and APIs, implement AI-enhanced automation, produce documentation and runbooks, monitor performance, and support SOC teams and standards.

Design, build and operate Grafana Labs' bare-metal to Kubernetes platform: provision storage, networking and clusters; manage cluster networking, scheduling and autoscaling; maintain Crossplane compositions and Terraform modules; support users and run on-call duties to ensure reliability, performance, and scalability of platform infrastructure.

Build and automate GTM systems to acquire and retain customers: own CRM, design GTM data model, create pipelines, deploy AI agents, build integrations and enrichment workflows, and iterate on outbound/inbound playbooks to generate qualified pipeline.

Design, develop, and maintain scalable Python backend systems and APIs. Lead end-to-end development, optimize performance, participate in architecture decisions, conduct code reviews, resolve production issues, and mentor junior engineers.

Design and build scalable Python backends and APIs, integrate and deploy LLM-powered applications (chatbots, summarization, semantic search), optimize model performance and costs, develop data pipelines for training and inference, ensure code quality and CI/CD, collaborate cross-functionally, and mentor junior engineers.

Build and run a physical and derivatives Aluminium trading desk: originate and execute trades across the value chain, manage supply chains and counterparties, develop hedging strategies, monitor market fundamentals and risks, deliver P&L growth, and provide strategic market analysis to senior management.

The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.

The Risk Actuary provides actuarial insights across risk areas, supporting modelling, capital adequacy assessments, and regulatory compliance while engaging with stakeholders to translate insights into decisions.

The Optical Interconnect Process Engineer is responsible for designing, optimizing, and manufacturing optical interconnect systems, ensuring high performance and reliability through process development and yield analysis.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

The Support Engineer will assist customers by responding to inquiries, troubleshooting technical issues, and collaborating with engineering teams while improving support documentation and user experience.

The IT Support Engineer will provide IT assistance, manage equipment, and enhance internal processes to support a growing global team.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

Design and deliver product experiences for legal teams, build features, influence architecture, and foster collaborative practices.

The role involves building a scalable integrated payment and checkout architecture using Python, ensuring smooth partner integrations, and enhancing onboarding automation.

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Join as a Database Platform Engineer to design, build, and operate critical database platforms, ensuring high availability and performance in a collaborative environment.