Top Python Jobs in London

Join the SRE team to build and operate an internal developer platform ensuring high uptime and scalable production releases. You’ll automate, monitor, and support distributed containerised systems, contribute to CI/CD, troubleshoot incidents, and collaborate across teams while learning and applying tools like Kubernetes, AWS, Terraform, Kafka, Go and Python.

Design, deploy, and operate lossless RDMA-capable leaf-spine fabrics for multi-tenant GPU clusters. Automate provisioning, build telemetry/observability, troubleshoot end-to-end performance, manage out-of-band and office networks, support tenant onboarding, and document designs while upskilling colleagues.

Join the Financial Engineering team to develop innovative reporting solutions, enhance existing systems, support clients, and contribute to new initiatives.

Design, develop, and support Azure-based cloud integrations and platform services. Build API/queue/file-based integrations, improve CI/CD and deployment reliability, troubleshoot production issues, modernize legacy systems to cloud-first patterns, and document and transfer service ownership to reduce operational risk.

Lead design and delivery of production-grade AI agent services: build LangChain-driven LLM workflows, design distributed microservices, implement testing/evals and monitoring, deploy and maintain models, guide architecture decisions, write production-quality code, troubleshoot live systems, produce documentation, and mentor junior engineers.

Join a Data & AI team building production LLM-powered agents for underwriting. Own end-to-end data science for production systems: prototype with stakeholders, design evaluation frameworks (offline and online), build analytical pipelines, measure agent quality, and work with engineers to productionise monitoring, CI/CD, and reliability.

Lead analytical and consultancy projects using CRA and multiple data sources to build scorecards and statistical models. Prepare data with SQL/Python, perform regressions, decision trees, clustering and CHAID, support sales with proposals, and present analysis to stakeholders while ensuring regulatory/compliance understanding for UK consumer credit.

Lead behavioural economics engagements delivering research, experiments and interventions for litigation, regulation, and commercial clients. Translate empirical findings into actionable recommendations for senior stakeholders, develop tools and thought leadership, support business development, and mentor junior staff while collaborating across multidisciplinary teams.

The role involves developing catastrophe aggregation models, automating processes, validating exposures, mentoring team members, and ensuring adherence to data capture standards while supporting risk management initiatives.

Analyse portfolio and claims data to monitor performance, identify risks and opportunities, support forecasting, and produce reports and recommendations to inform pricing, underwriting, promotions and retention decisions while building dashboards and stakeholder relationships.

The Senior Infrastructure Consultant will lead customer engagements by designing secure on-premises and hybrid infrastructure solutions, ensuring high availability, and providing technical leadership throughout delivery stages.

The Director of Epidemiology Pipeline collaborates on virology clinical trials, providing scientific expertise, leading project proposals, and overseeing study management and regulatory compliance.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Own and evolve IG's Honeycomb-centered observability platform; drive OpenTelemetry instrumentation across Java, Python and C++ services; define SLOs and alerting; participate in incident response and post-incident reviews; mentor engineers and produce runbooks, tooling, and standards to improve telemetry and reliability across a globally distributed microservices estate.

Lead end-to-end research applying advanced ML/DL (transformers, GNNs, RL, ensembles) to generate alpha across digital asset markets, build production-grade pipelines, prevent leakage/overfitting, analyze microstructure and on-chain data, and mentor junior researchers.

Design, test, and deploy systematic trading strategies across digital asset markets. Generate and validate hypotheses, run rigorous backtests, build and maintain live alpha signals and execution models, analyze microstructure and order flow, collaborate with engineers to move research to production, and monitor and iterate on live strategy performance.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.

Perform technical security assessments, embed security into development pipelines, run vulnerability scanning and penetration tests, develop incident response plans and playbooks, lead incident response, monitor alerts, and train teams on security practices while collaborating with development and operations.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

As a Software Development Engineer II, you will develop and maintain web services for navigation solutions, ensuring reliability and performance while collaborating with the team.

As a Full Stack Developer on the AI Team, you will build production-ready backend and full-stack features, integrating AI functionality into the think-cell product while collaborating with C++ and AI engineers.

Lead embedded Linux platform enablement for Nabu Casa hardware: Buildroot-based board bring-up, bootloader and BSP work, debugging, performance and reliability improvements, CI/build infrastructure maintenance, upstreaming patches, and collaborating with vendors and open-source maintainers to ensure long-term device support.

The Principal AI Engineer will build and improve the core AI tutoring system, design evaluation methods, and collaborate on pedagogical goals, driving innovation in learner experiences.

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.