Top Python Jobs in London

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.

Support day-to-day operations of on-prem compute infrastructure, handle diagnostics, troubleshoot Linux systems, and participate in maintenance activities for HPC and Kubernetes environments.

Develop and improve the trading platform focusing on C++ and Python, enhancing performance, scalability, and data infrastructure.

The Core Developer will focus on creating and maintaining systems for trading activities, including data capture, reconciliation, and automated settlement, primarily using Python and some C++.

Design, develop, and maintain services for Smarkets, implement monitoring, ensure code quality, mentor teammates, and collaborate on projects.

Serve as the technical SME for compliance automation, overseeing GRC control mapping, evidence collection, integrations, and continuous monitoring. Partner with engineering teams to embed compliance into workflows, support audits and framework rollouts, assign control ownership, reduce audit burden, and maintain audit readiness. Lead cross-functional initiatives and communicate compliance risks, control status, and progress to technical and leadership audiences. The role requires cybersecurity framework expertise, program management, cloud and API fluency, GRC platform experience, and familiarity with AI-enabled compliance workflows.

Own the analytical and technical backbone of trading risk and fraud operations. Build production-grade infrastructure, monitoring tools, dashboards, and detection algorithms for toxic flow, latency arbitrage, and abusive trading. Investigate suspicious activity, assess product and promotion risks, classify clients for A-book/B-book decisions, and deliver solutions from data extraction through deployment. Improve automation, identify process gaps, report findings, and mentor junior analysts.

Build and maintain full-stack internal systems supporting iwoca’s German operations, including underwriting, customer communication, collections, and account management tools. Design backend services in Python, contribute to React and TypeScript codebases, modernize architecture, automate workflows, and improve system quality and reliability. Own projects end to end by engaging stakeholders, shaping solutions, making trade-offs, and evaluating outcomes through data and usage metrics.

Lead the adoption of AI-native software development practices as a hands-on Principal Engineer. Mentor engineers in tools such as GitHub Copilot, Claude Code, Codex, Cline, Kiro, and Cursor; introduce innovative workflows; solve complex technical problems; and collaborate with engineering and product leaders to translate AI-driven productivity and capabilities into product value. The role requires strong backend development skills, technical leadership, communication, and practical experience with generative AI tools.

Senior Software Engineer responsible for advancing AI-assisted software development across engineering teams. The role combines hands-on backend coding with mentoring, code reviews, technical leadership, workflow innovation, and adoption of tools such as GitHub Copilot, Claude Code, Codex, Cline, Kiro, and Cursor. The engineer will demonstrate AI-powered development practices, collaborate with technical and product stakeholders, and communicate productivity and product-value improvements.

Build and operate automated compute-capacity systems across regions, including forecasting, provisioning, reservations, fleet reconciliation, drift detection, observability, alerting, and cost optimization. Support demand planning for customer commitments, migrations, and new regions. Contribute to right-sizing, autoscaling, workload consolidation, capacity incident response, and post-incident improvements while coordinating with engineering and finance stakeholders.

Administers and architects IBM i environments across IBM Power Systems, managing partitions, upgrades, backups, disaster recovery, high availability, security, performance, storage, and integrations. Develops automation with CL, SQL, and RPG; supports IBM MQ, APIs, cloud platforms, and open-source technologies. Serves as the highest technical escalation point, leads root-cause analysis, participates in on-call support, and manages infrastructure changes, modernization initiatives, documentation, and compliance.

Designs and implements AI-driven solutions across the software development life cycle using the GitHub ecosystem. Responsibilities include architecting and tuning coding agents, building evaluation frameworks, governing prompt libraries, integrating AI with CI/CD pipelines and MCP servers, and embedding agentic workflows into enterprise engineering processes. The role requires advanced programming expertise, strong AI architecture knowledge, and experience applying generative AI within complex enterprise SDLC environments.

Own and evolve EMEIA infrastructure across VM-based and managed container environments. Design and build a Kubernetes-based platform, migrate existing workloads, manage networking, access controls, certificates, cloud infrastructure, RHEL systems, and infrastructure-as-code. Establish deployment and observability practices, troubleshoot incidents, maintain reliability and documentation, and support rapidly developed AI-assisted applications. Collaborate with developers, data teams, analysts, vendors, and global stakeholders.

Design, develop, and optimize enterprise-scale Snowflake data warehouses, pipelines, models, queries, and workflows. Build ingestion and transformation processes with Python, PySpark, Airflow, and AWS. Ensure data quality, governance, security, compliance, performance, and cost efficiency. Automate deployment and monitoring through CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders and engineering teams. Provide technical leadership, lead discussions, and mentor engineers.

Develop and optimize a global derivatives algorithmic trading platform, including exchange connectivity, market-data processing, order gateways, and trading engines. Implement trading algorithms, integrate exchange APIs, improve multithreaded performance and reliability, maintain testing suites, enhance monitoring, troubleshoot production issues, and manage releases and deployments. Collaborate closely with traders, quants, technologists, and operations teams in a high-pressure trading environment.

Designs, develops, integrates, tests, and maintains production embedded Linux software for vehicle systems. Responsibilities include modern C/C++ and Qt/QML development, Yocto platform maintenance, Python automation, CI/CD, automated testing, debugging across hardware and software boundaries, release management, architecture, documentation, and production support. The role also provides technical leadership and mentorship while collaborating with multidisciplinary engineering, manufacturing, cybersecurity, and supplier teams.

Designs and delivers scalable AI-centric software for offensive security, including agentic vulnerability detection, automated penetration testing, workflow optimization, and threat intelligence. Owns features from ideation through deployment and monitoring, contributes to architecture and testing, and collaborates across teams. Requires Python or Go, AI technologies, microservices, APIs, messaging, databases, Docker, Kubernetes, and cloud experience.

Design, train, and deploy retrieval, reranking, and relevance ML models for a production agent-native search platform. Build embedding-based indexing and large-scale retrieval systems, define evaluation metrics and pipelines, optimize latency/quality/cost trade-offs, and collaborate with engineers to integrate models into 24x7 production services.

Maintain and scale DevTools SRE systems: improve user-facing developer workflows, build fault-tolerant self-healing architecture, optimize performance, modify open- and closed-source tools (GitLab, TeamCity), and support users while measuring improvements via metrics.

Lead the scientific approach for AI/ML solutions using LLMs and agentic systems: frame business problems, design models and evaluations, build and review production-grade code, own evaluation/monitoring, and drive responsible AI, standards, and mentorship across the team.

Design, operate, and scale highly available distributed systems for telemetry ingestion. Automate reliability, participate in on-call incident management, evaluate resilience and DR, collaborate with app teams, and use AI tooling to reduce toil.

Design, develop and automate data pipelines ingesting transactional, social and geographic data. Build crawlers and APIs, develop algorithms and statistical models (including clustering) for large-scale graph data, and improve infrastructure and internal tools.

Design and implement AI infrastructure for cross-border e-commerce: optimize GPU scheduling on Kubernetes or Ray, improve cluster high-availability and fault tolerance, build efficiency evaluation models, and introduce cutting-edge AI infra technologies.