Top Python Jobs in London

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Perform static and dynamic Android malware analysis and reverse engineering; detect and document emerging Android malware trends; write detection rules and automation; collaborate cross-team and produce threat intelligence reports.

Lead and own platform architecture across Infrahub ecosystem, implement high-impact architectural improvements, reduce technical debt, champion AI-first engineering, provide hands-on technical leadership, mentor engineers, and collaborate with product and leadership to ensure scalable, extensible systems.

Own end-to-end full-stack features and systems (frontend, backend, infra). Ship reliable, high-performance, scalable microservices and LLM-powered customer workflows on AWS, partner with product, make architectural decisions, improve CI/CD and infrastructure, and mentor peers.

Architect and build agentic workflows combining LLMs, reasoning, and data pipelines. Lead ML/NLP product development from training to deployment, drive experimentation, integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

The Associate Principal in Response Operations leads cyber threat hunting and response activities, utilizing advanced security tools to identify and mitigate threats. Responsibilities include performing threat analysis, preparing reports, supporting incident response, and continuously enhancing detection tools.

The Senior Solutions Engineer will lead DevOps initiatives, improve infrastructure reliability, define release processes, and collaborate on architectural decisions to enhance automation and performance across the organization.

As the Data Engineering Manager, you'll lead a team, manage data infrastructure, design scalable solutions, and drive data quality initiatives while collaborating with cross-functional teams.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

The Engineering Manager will lead cross-functional teams of engineers, focusing on building high-performing environments, managing technical delivery, fostering team growth, and ensuring data-driven strategies.

The role involves managing cloud infrastructure, focusing on AWS and Kubernetes, ensuring system reliability, building CI/CD pipelines, and supporting AI workloads. Responsibilities include optimizing production systems, enhancing monitoring, and collaborating with teams to improve developer experience.

The Staff SecOps Engineer will ensure platform security, architect SecOps solutions, respond to incidents, and implement security practices within the Software Engineering team.

Measure and optimize underwriting using statistical analysis and machine learning on claims, risk signals, and underwriting data. Build models for risk assessment, pricing, and automation; create dashboards and reports; collaborate with actuarial, product, and engineering teams; lead initiatives and mentor team members to improve underwriting efficiency and risk selection.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

The Customer Support Engineer will provide technical support for customers using Zimperium's mobile security solutions, ensuring satisfaction and resolving issues in collaboration with internal teams.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Lead Product Engineering efforts to design, automate, and operationalize repeatable AWS/GCP cloud services. Define cloud standards, onboard services, implement IaC/config management, support operations, and act as SME and escalation point.

The Senior Site Reliability Engineer will manage production environments, enhance system reliability, and collaborate with development teams for improved service delivery and automation.

The Site Reliability Engineer manages incident response, enhances service reliability, automates operations, and collaborates across teams to improve system design.

Deploy, build, and operationalize Dataminr First Alert inside customer environments (mainly defense/national security). Design Foundry data pipelines, ontologies, and operator-facing applications; integrate real-time intelligence with customer data; debug full-stack issues in restricted/on-prem environments; act as trusted technical advisor; travel frequently to customer sites and own solutions end-to-end.

Customer-facing technical engineer owning pre-sales POCs and post-sales implementations. Builds, configures, troubleshoots, and integrates BigID in customer environments, authors automation scripts, supports escalations, and feeds product improvement.

Develop and maintain an AI product full-stack: build backend services (Django/FastAPI/Flask) and frontend apps (React/Angular/Vue) using TypeScript/JavaScript and Python, collaborate with a small product team, use GitHub, and contribute in a fast-paced startup. Interest or experience with LLMs is a bonus.

Lead resolution of high-severity post-sales technical escalations: reproduce complex bugs, perform deep-dive debugging (networking, packet analysis, pprof), run customer calls, and produce engineering-ready handoff packages. Monitor patterns, create runbooks and tooling, and partner with Support and Product/Engineering to close the loop.

Build and evolve a GCP-based platform, improving developer experience through IaC, CI/CD, tooling, automation, Kubernetes, monitoring and security. Collaborate with engineering, product and curriculum teams to remove platform friction and set technical direction.