Top Python Jobs in London

Build and deliver production-ready, LLM-enabled full-stack applications: backend services, data/LLM pipelines, vector search, and front-end UIs. Embed with customers onsite to deploy, iterate, codify reusable AI assets, shape platform tooling, and ensure scalable, observable, secure enterprise deployments.

Lead Deployment Architect - AI designs end-to-end Celonis solution architectures, defines AI agent orchestration and delivery standards, advises strategic customers, supports pre-sales, and ensures quality implementation and adoption across multiple enterprise engagements.

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure (Terraform/AWS), support CI/CD, and enable ML application deployment, orchestration, and accelerator hardware management.

Build scalable backend systems and greenfield shared-finance products (international joint accounts, kid accounts). Collaborate with PMs, designers, analysts and researchers to design, implement, and scale microservice-based, asynchronous systems supporting global customers while navigating compliance and financial infrastructure.

Execute and design equity and equity-derivative trading strategies, optimize execution through data analytics and coding, enhance automation and reduce risk, liaise with brokers, contribute to trading platforms (including Aladdin), and share market insights with investment teams.

Oversee technology audits, manage audit processes, engage stakeholders to assess risks, and ensure compliance in financial services.

Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.

Develop, test, and deploy software solutions for automated trading systems in partnership with Quantitative Researchers. Implement high-performance, scalable systems using advanced quantitative techniques, distributed computing, ML/NLP, and strong software engineering practices. Collaborate on priorities, deliver custom solutions, and engage with senior team members during an 11-week internship.

SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

Lead trading strategy development and execution for a commodities portfolio, manage risk, conduct analysis, and identify opportunities.

11-week internship performing quantitative research to develop, backtest, and implement automated trading strategies. Translate mathematical models into code, analyze unconventional data sources, conduct statistical research (ML, time-series, NLP), and collaborate with senior researchers to refine trading signals and monetize models.

As a Senior Product Analyst, you'll define KPIs, drive insights through data analysis, prioritize the product roadmap, and communicate findings to enhance product strategy.

The Machine Learning Engineer will design, train, deploy, and evaluate AI models to address public sector challenges, ensuring high-quality data training and evaluating systems.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Support Network Strategy through special project execution, interconnection and network acquisition operational support, strategic data analysis and research, documentation and KPI tracking, and progress reporting during a full-time 12-week fall internship in London.

Design and build evaluation, observability, and reliability infrastructure for AI/LLM/agent workflows. Define SLOs/SLIs, monitoring, drift detection, testing pipelines, and guardrails. Partner across platform, product, security, and data science teams to enable safe, scalable AI adoption and participate in on-call rotations.

Lead development of scalable marketing technology for automation, measurement, and personalization. Collaborate with engineering, data science, and analytics to build measurement and optimization tools, integrate generative AI, define requirements, write user stories and success metrics, and surface data infrastructure and schema for global marketing campaigns.

Own and build data infrastructure and analytics pipelines for KYC & onboarding. Develop core datasets, implement modern tooling (dbt, Airflow, Snowflake, Python), ensure data quality, monitoring, and deployment best practices, and partner with cross-functional teams to deliver actionable insights for fraud and compliance decisions.

Lead analytics for Payment Operations risk: define KRI frameworks, set risk thresholds, build control assurance and reconciliation models, create reliable data pipelines and visualisations, and partner with risk and auditors to prevent financial loss and ensure compliance.

Build and maintain the Payin Platform that handles how money enters Wise. Design Payin Session and Payment abstractions, ensure reliability and scalability for high-volume transactions, collaborate across teams, write testable code, drive end-to-end ownership, and improve APIs and systems for excellent customer experience.

Design and build end-to-end ML solutions for 1:1 personalization, own data transformation, model training and deployment, provide technical customer guidance, extend product capabilities, and shape BrazeAI strategy.

Build and scale Wise's Acquiring Platform to receive international payments. Design and implement backend services and RESTful APIs, integrate payment methods (Google Pay, Apple Pay, PIX, UPI), expand platform into ecommerce stores and PSPs, work on distributed systems, collaborate with stakeholders, and deliver shippable milestones.

Design, build, and operate enterprise-grade, cloud-native data platforms and pipelines for Preqin's Company Intelligence. Provide technical architecture, end-to-end delivery, data governance, observability, and reliability while leading and mentoring a small team and partnering with product and analytics to deliver measurable business value.

Seeking a Senior Software Engineer for the Beacon Core Engineering team to design, build, deploy, and maintain software tools and assist clients using AI agents, focusing on quality code and collaboration.