Top Python Jobs in London

Design, build, and maintain large-scale, high-performance distributed systems and backtesting platforms. Write production-quality Python on Linux, learn/use C++, and apply strong data-structures, algorithms, concurrency, and system-programming skills. Collaborate with researchers to support scalable quantitative research and production trading workflows.

Ingest, map and transform customers' trade and supply-chain data into company data models. Write SQL to investigate and validate data, apply sanity checks, build simple ingestion/transformation steps, contribute to dashboards and tooling, monitor pipelines, triage alerts, and develop domain knowledge in trade and carbon accounting.

Architect and build multi-petabyte streaming data platform processing billions of datapoints daily. Design and optimise distributed systems using Java/Python, Kafka, ArcticDB and databases. Collaborate with stakeholders, adopt AI-assisted development tools, troubleshoot performance issues, and drive delivery in a market-data environment.

Lead a product engineering team as a hands-on Technical Lead: set technical direction, ensure quality, partner with Product, mentor engineers, make architecture and sequencing decisions, and contribute code while aligning with cross-domain staff engineering.

Manage end-to-end geo holdout experimentation for Amazon within OpenDoor, coordinating cross-functional teams to ensure statistically rigorous test design, execution, QA, reporting, spend reconciliation, and continuous improvement using automation and AI.

Build and modernize a scalable data platform using Databricks, Snowflake and cloud infrastructure. Develop reusable tooling, data models, orchestration, data quality checks, and automation; collaborate with cross-functional teams and prototype agentic AI workflows to improve operational efficiency for financial data pipelines.

Lead climate risk methodology, governance, and underwriting; translate climate modelling into investment and asset management recommendations; track ESG regulation and coordinate cross-functional responses; oversee climate resilience data, tools and automation; prepare executive materials and advise stakeholders to embed sustainability across investment, development and operations.

Design and develop software solutions from scratch, collaborating on government projects, and participating in the software development lifecycle.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

Design, build, and maintain scalable ETL/ELT pipelines and modern lakehouse architectures. Optimize data solutions using Databricks, Spark, and AWS. Produce high-quality Python code, data models, and monitoring to ensure data accuracy, reliability, and performance. Collaborate with product teams, troubleshoot complex data issues, and improve infrastructure scalability.

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

Lead backend and edge/IoT engineering, implementing scalable solutions and mentoring team members while collaborating with Data Science teams.

As a Forward Deployed Engineer, you will build and deploy AI-driven solutions, collaborating with clients to operationalize LLM-powered agents. You will integrate these solutions with existing systems, design scalable architectures, and support client engagements through your technical expertise.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

Lead development and delivery of pricing strategies for credit products (revolving, instalments, cards). Use SQL and Python to build unit-level cashflow, forecasting, incrementality and attribution models, define valuation metrics (NPV, IRR), run A/B tests, automate reporting/dashboards, monitor portfolio performance and regulatory fair value, and collaborate with Credit Risk, Product, Finance and Engineering. Manage and develop a pricing team and present recommendations to senior stakeholders.

Lead finance analytics, own data warehouse strategy and governance, build a reporting Center of Excellence, implement Finance AI automation and data pipelines, optimize GCP costs, create self-service analytics, manage a small cross-functional team, and ensure data governance and audit readiness.

Perform actuarial pricing and modelling for Property, Construction and Specialty accounts: develop, test and maintain pricing tools and models, support NatCat analytics in RMS RiskLink, produce portfolio and regulatory reporting, consult on projects, and work closely with underwriters on pricing reviews and onboarding.

Analyze UK consumer and small business card credit risk, develop and implement credit risk strategies, evaluate new data sources, track portfolio performance, and partner with product, acquisitions, operations, compliance, and analytics teams to drive profitable outcomes.

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.