Top Python Jobs in London

The L3 SOC Analyst leads complex incident investigations, drives automation, mentors junior analysts, and enhances SOC capabilities using advanced security technologies.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

The Senior Platform Engineer will enhance reliability, performance, and scalability of systems, improve operational excellence, and automate processes. Responsibilities include incident management, observability solutions, cost optimization, and cross-functional collaboration.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Monitor and analyze customer vulnerability and asset risk data using Qualys TruRisk; research threats and exploits; produce reports and briefings; track remediation; onboard environments; escalate high-risk findings; improve playbooks and processes.

Own and operate cloud infrastructure (primarily AWS) using Infrastructure as Code. Maintain and improve Terraform estates, manage Kubernetes and ArgoCD production workloads, keep CI/CD pipelines reliable, automate with Python/Bash, monitor performance, troubleshoot incidents, and collaborate with teams to deliver secure, scalable public-sector services.

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.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

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 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.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

Lead design and operation of production-grade CI/CD and developer-facing delivery infrastructure. Contribute hands-on in Go and Python, improve pipeline reliability and speed, define paved paths and self-service Internal Developer Portal, champion progressive delivery (canaries, automated rollbacks), embed AI tooling into SDLC, and collaborate with cloud platform and engineering teams globally.

Senior Software Engineer contributing across the full stack within a product-focused, cross-functional team. Build, deploy, and support scalable cloud-native services using event-driven architectures, improve observability and test automation, collaborate with product and customers, and champion engineering best practices to deliver high-value features.

Own cloud architecture intelligence and cost optimization: analyze cloud spend, identify inefficiencies, build dashboards, enforce governance, partner with engineering/finance to drive cost-conscious design and operations.

As a Senior Backend Engineer, you'll develop features using Python and various AWS services, focusing on AI-driven solutions for the insurance sector.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Serve as the technical bridge between product and sales: lead technical discovery, demos, and POCs; build custom integrations and demos; translate customer feedback into product requirements; create technical sales collateral; troubleshoot pre-sales and onboarding issues; monitor market and competitor trends to inform positioning.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design and optimize outbound sales infrastructure and lead generation pipelines. Build automation and CRM workflows, run data-driven growth experiments, analyze campaign performance, and support sales and marketing teams to improve conversion and pipeline velocity.