Top Python Jobs in London

Design, validate, and operationalize threat detections in real customer environments. Test and tune detection logic against live telemetry, support investigations, and collaborate with Product and Engineering to integrate high-confidence detections into Binalyze AIR and improve detection coverage.

Lead Shopify projects, oversee development and integrations, guide engineers and ensure high-quality execution for clients' commerce needs.

Develop scalable backend infrastructure for AI healthcare tools, focusing on API development, data processing, and compliance. Manage integrations with healthcare systems.

As a Senior SOC Analyst, you'll lead complex incident response, perform threat hunting, malware analysis, and mentor junior analysts while contributing to SOC processes and client communication.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.

The Senior Migrations Engineer will develop and maintain the Migrations Platform, ensure reliable migrations, and support onboarding of new schools, emphasizing collaboration and quality improvement.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

Lead design, operation, and automation of Fastly's global edge network. Respond to and lead network incident resolution (BGP/anycast), build automation and monitoring, analyze traffic and performance, mentor teammates, and partner with engineering to improve network reliability and tooling.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Design, maintain, and optimize HLR/HSS/UDM subscriber templates and roaming logic. Lead Full MVNO profile deployments, collaborate with roaming partners and system integrators, define HLR/HSS KPIs, and troubleshoot signalling using Wireshark and roaming platforms.

Lead and grow an analytics engineering team to build self-service analytics: own semantic layer, core dbt models, dashboards, and Lightdash adoption. Establish governance, modeling standards, testing, documentation, and enablement while partnering with analysts and Data Engineering to deliver scalable, production-quality data products.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

The Risk Manager will oversee gas and power trading risks, develop risk management frameworks, and mentor quantitative analysts while ensuring efficient risk-taking and capital allocation.

Lead Full Stack Engineer to own solution design and lead a small engineering squad. Responsibilities include end-to-end feature design, delivery leadership (planning, prioritising, ceremonies), hands-on development of complex backend (Python) and frontend (React/Flutter) features, CI/CD and testing, incident response, and evolving platform architecture, observability, security and developer experience while working closely with founders and partners.

Build full-stack tools for AGI safety research: evaluation IDE, LLM-powered search, comparison views, streaming results, collaborative log editing, pipelines, agents, and telemetry. Collaborate with researchers and product to deliver robust, extensible software.

Conduct empirical research into AI "scheming": design and run RL experiments on LLMs, build model organisms, develop scalable evaluation techniques, study scaling laws and AI cognition, and collaborate with partner labs to influence deployment and mitigation strategies.

Build and maintain backend tools for AGI safety research: eval libraries, orchestration for parallel agentic evaluations, LLM proxy and telemetry, CI optimizations, data warehousing, and researcher-facing tooling. Lead feature development, collaborate with researchers, and promote good software design and reliability.

Design, run, and automate pre-deployment evaluations of frontier AI models. Analyze large model transcripts to surface behaviors, build scalable evals, collaborate with AI labs, and improve evaluation pipelines and tooling.

Support exposure management analytics, catastrophe event analysis, and accumulation monitoring. Prepare, validate, document, and streamline data analytics; assist reporting to internal stakeholders and external regulators; help industrialise tools and processes.

The Catastrophe Portfolio Analytics Manager leads catastrophe analytics development, supports risk management and strategic decision-making, and mentors team members for Chubb European Group.