Top Python Jobs in London

Perform credit risk analysis and implement acquisition and portfolio strategies for UK consumer and small business card portfolios. Track and explain acquisition and portfolio metrics, evaluate new data sources, generate insights, and collaborate with Central Risk, Operations, Product, Acquisitions, and Compliance to deliver profitable risk strategies and better customer outcomes.

Lead last-mile geospatial analytics to optimise routing, network planning, forecasting and capacity. Build statistical and ML models, create Looker dashboards, track performance, and integrate analytics into operations. Partner with leadership and international partners, mentor colleagues, and drive data-driven strategies that reduce cost and carbon emissions.

Lead backend and systems engineering from design through production for connected, embedded, edge-computing healthcare products. Design distributed systems, write primarily Python, improve testability and reliability, mentor engineers, collaborate cross-functionally, and produce clear technical documentation.

Design, build, and deploy agentic AI solutions in production for public sector, nonprofit, and education customers. Deliver end-to-end components, data pipelines, integrations, agent reasoning and observability, co-build with customers, and translate business problems into deployable AI systems.

Design, build, and deploy agentic AI solutions in customer environments. Implement LLM prompts, tool integrations, data pipelines (Salesforce Data 360, Snowflake/Databricks), production monitoring, and KPI dashboards. Partner with deployment strategists, deliver customer-facing technical work, and iterate on production agent performance.

Build and optimize data infrastructure and pipelines for large time-series market, economic and alternative datasets. Manage and enhance database environments, improve querying/storage/indexing, document standards and automation, and deliver actionable datasets and tools to support trading strategies and PnL-focused decision-making while collaborating with quants, portfolio managers and traders.

Lead end-to-end customer engagements to define and deploy agentic AI solutions across Public Sector, Nonprofit, and Education. Architect AI strategy and responsible-agent designs, manage program delivery and stakeholder communication, coordinate with Forward Deployed Engineers, and drive adoption, consumption, and expansion metrics. Provide product feedback and use AI tools to accelerate development. Travel to customer sites up to 25%.

Lead and transform SRE practice from reactive operations to engineering-led reliability. Define NFRs using FMEA, build observability and AIOps-driven monitoring, implement self-healing automation, automate DB operations and releases, run chaos engineering, define SLIs/SLOs, mentor engineers, and collaborate with platform and cloud teams to optimize performance, resilience, and cost.

Lead end-to-end on-premises FinOps strategy and architecture using FinOps.org framework. Build cost visibility, data model and governance, run maturity assessments, identify savings, design reporting dashboards, and deliver a prioritized implementation roadmap while collaborating with executives, finance, engineering, procurement and IT operations.

Deliver hands-on FinOps engineering for on-premises estates: integrate cost data (CMDB, asset, licensing, monitoring), build/maintain ETL pipelines and dashboards, analyse usage and licence patterns, identify savings, support governance, and coordinate onshore/offshore workstreams following the FinOps.org framework.

Lead end-to-end delivery of QVAC-powered AI implementations, acting as primary client contact. Translate business needs into deployment strategies, define roadmaps, coordinate product/engineering/legal stakeholders, manage risks and governance, and drive implementations from kickoff to production while producing executive reports and reusable documentation.

Lead engineering ownership of a multi-datacentre ClickHouse estate: cluster ops, schema and query engineering, capacity planning, ingestion correctness, workload isolation, monitoring, backup/recovery, and mentoring a follow-the-sun team. Drive architectural direction, runbooks, and production-ready, observable systems while collaborating with Go capture services and Python analytics pipelines.

Design and implement quantitative trading and market-making strategies for on-chain and cross-chain markets. Build signal generation, simulation, execution, and attribution frameworks. Partner with protocol engineering to productionize research, monitor performance, and identify monetization opportunities across Defuse's intent-driven liquidity platform.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.

Design, build, and scale cloud-native data warehouses and robust ETL/ELT pipelines (primarily BigQuery). Optimize performance, implement partitioning and cost controls, ensure data governance, observability, and regulatory reporting support, and collaborate with analytics and engineering stakeholders.

Partner with regional teams and XPI to collect, clean, integrate, validate, and analyze partner and customer data. Build dashboards, automate data workflows with Python, query large datasets with SQL, and enable sales/marketing with accurate, actionable datasets and training.

Define and maintain cloud platform architecture and standards; lead technical design and delivery of platform capabilities, integrations, and migrations; produce architecture artifacts and roadmaps; participate hands-on in engineering (IaC, automation, containers); review solutions, manage risks, support customers, and mentor engineers while ensuring security, resilience, observability, and regulatory compliance.

Design and build full-stack features and serverless back-end systems for customer- and broker-facing products, billing/payments, and internal platforms. Improve developer tooling, CI/CD, and shared services. Collaborate cross-functionally, write well-tested code, conduct reviews, and shape architecture for scalable, reliable, user-focused solutions.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Lead a team of Credit Analysts to build and evolve Monzo's Credit Platform, including NPV modelling infrastructure and decisioning capabilities. Define platform roadmap, partner with Product, Engineering, Data and ML teams, and drive scalable credit strategies across products and markets.

Partner with investment teams to identify high-value AI use cases, design lightweight proofs-of-concept, enable users through training and best practices, provide light technical support, and track adoption and impact of AI solutions across EMEA research teams.

Lead end-to-end research in computer vision and spatial AI, developing novel algorithms (metric learning, 3D geometry, vision-language) and moving prototypes to production-grade, real-time systems. Shape research roadmap, publish at top venues, mentor junior researchers, and collaborate with engineering to deliver deployable spatial intelligence.

Build and deploy tailored customer solutions across software and hardware: write data pipelines, backend services, UI components, install/configure hardware, and surface product feedback. Work on ambiguous problems, engage stakeholders and customers, and ensure successful on-site deployments (up to 50% time).

Develop AWS serverless, event-driven cloud-native applications; build streaming data pipelines; modernize legacy systems to microservices and API-first designs; implement CI/CD and Infrastructure as Code (CDK/CloudFormation); ensure monitoring, logging, and system reliability (CloudWatch).

Own and ship full-stack product features end-to-end for an open-source LLM observability platform: design specs, implement frontend and backend work (TypeScript/React, ClickHouse, Python), talk to users, write docs, and improve developer experience while collaborating in a small engineering team.