Top Python Jobs in London

Rotate through BI roles over two years to analyze data, build dashboards, support reporting and forecasting, present insights to leadership, and drive operational improvements.

Build and scale an enterprise Generative AI platform. Own large product areas across backend and frontend, develop reliable Python backend services, integrate LLMs, vector databases, and AI infrastructure, work with distributed systems and data pipelines, and ship features quickly while collaborating with product, ML, and infrastructure teams.

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++.

Build, deploy, and maintain LLM-powered applications and coding-agent workflows for enterprise clients. Prototype with agent platforms, integrate to client systems securely (GDPR), implement monitoring, CI/CD, and token tracking, create reusable AI assets, and coach teams to production-grade solutions.

Advise public sector and banking clients on fraud technology, solution design, data and control delivery. Develop technical requirements, architectures, decisioning and workflows, assess platforms, support implementation, and produce recommendations and business cases to improve prevention, detection and response.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Partner with prospects and enterprise customers through pre-sales and post-sales to design scalable analytics implementations, drive ROI, own onboarding and data health, advise on data architecture and governance, and lead change management and adoption to increase product usage and data trust.

The Software Engineer Consultant will design and deliver secure software for UK Defence, collaborating with stakeholders and applying secure development practices.

Build and optimize ML infrastructure and data platforms for large-scale multimodal datasets, supporting training, evaluation, lifecycle management, and production inference. Work on data ingestion, distributed training, experiment tracking, model versioning, and scalable serving while improving reliability, performance, and observability. Provide technical leadership at senior levels.

Lead the Redline Product Management team, overseeing Technical Account Management, Sales Engineering, and Product Management while ensuring customer success and driving product initiatives.

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

The Staff Analytics Platform Engineer will lead the architecture and development of a scalable analytics platform, focusing on Snowflake, ingestion pipelines, and technical mentorship.

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.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

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.

Design, build, and maintain developer tooling for the MAX AI inference stack, including profilers, tracers, debuggers, dashboards, and agent-native tools. Integrate tooling across MAX, Mojo, and driver APIs, collaborate with kernel/model/serving engineers, and drive performance analysis, debugging, and observability to improve developer productivity and production reliability.

Lead technical enablement and scientific advisory for partners adopting CuspAI's platform. Engage computational chemists and materials scientists, run workshops and code-alongs, create advanced developer resources (docs, notebooks, APIs), and drive cross-functional feedback into AI research and product. Support partner discovery sprints and co-author deep-tech content to showcase materials breakthroughs.

Develop, test, and deliver features for Webex real-time media microservices. Participate in DevOps, manage highly available services, join on-call rotation, write automated tests, debug issues, and apply AI where relevant. Receive mentorship and training while contributing across Rust/Java/C++/Python codebases.

Design, develop and maintain enterprise BI solutions supporting front-office data integration, warehousing, reporting and analytics. Gather requirements, deliver iterative solutions, tune performance for multi-terabyte environments, ensure governance and compliance (SOX/GDPR), collaborate across dispersed teams and vendors, and support DR exercises while promoting platform adoption.

Lead and coordinate company engagements to capture ESG intelligence, maintain stewardship databases, support quantitative ESG assessments, and develop AI-enabled stewardship tools using Python, SQL, and generative AI. Communicate insights to portfolio managers and produce stewardship reporting.

Lead design, deployment, and adoption of a Starburst (Trino) data virtualisation platform. Implement Trino clusters, integrate data sources (Snowflake, databases), ensure security and governance, optimise distributed queries, enable AI adoption, and drive platform operational readiness and documentation.

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.

Own maintenance and development of IFRS 9 provisioning models (PD, LGD, EAD), ensure model accuracy and governance, support data extraction and scenario analysis using SQL/Python, produce reporting packs and commentary, and collaborate with credit risk, finance and capital markets stakeholders for consumer lending/cards portfolios.