Top Python Jobs in London

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Design, implement, and manage secure, automated CI/CD pipelines across multi-cloud environments. Lead DevSecOps and GitOps practices, build IaC with Terraform/Ansible, manage container platforms (Docker, Kubernetes, Helm), integrate security scanning (SAST/DAST/SCA), monitor systems, optimize cloud infrastructure on AWS/GCP, and drive automation and observability to ensure resilient, compliant deployments.

Develop and deploy cloud services using Kubernetes, manage production workloads, and optimize AI systems. Collaborate with teams for continuous integration and infrastructure automation.

Design and run mixed-methods studies measuring legal teams' real AI proficiency; build and validate surveys/interview protocols; analyze usage and outcome data; translate findings into product, onboarding, and enablement recommendations; communicate results via reports, presentations, and dashboards; prioritize future research.

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

The Deployment Strategist at Northslope Technologies works with enterprise clients to create data-driven solutions that drive operational changes, utilizing strong analytical and collaborative skills.

Responsible for building applications and workflows based on customer data, solving critical problems, and automating processes while working closely with stakeholders.

The Forward Deployed Software Engineer develops impactful applications for clients, utilizing data-driven solutions to enhance business operations while collaborating closely with stakeholders.

The Deployment Strategist will work with enterprise clients to develop data-driven solutions that transform operations, delivering exceptional customer success through analytical excellence and proactive project management.

Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.

Seeking a Senior Site Reliability Engineer to design and develop automation and infrastructure services that ensure reliable, scalable systems for business travelers, while collaborating with development and security teams.

Design, build, and maintain high-quality software while collaborating with teams and utilizing AI agents to enhance development processes.

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

Lead a team of controls professionals to translate AI behavior into actionable controls, prototype scalable AI/automation controls, run red-team exercises, steward AI control standards, and engage senior stakeholders to prioritize and deploy AI-enabled control solutions across Asset & Wealth Management.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.

Support UK Investments Commercial team by building and maintaining commercial models, tracking initiative performance, preparing business cases and stakeholder presentations, consolidating cross-functional inputs, and developing reporting and insight frameworks to drive prioritisation and decision-making.

Quantitative Researchers at Citadel use advanced statistical techniques to develop models and trading strategies, backtesting them in live environments.

Lead end-to-end growth and marketing analytics: run deep-dive analyses, build dashboards and analytical frameworks, measure regional performance, and translate insights into actionable recommendations. Partner with senior regional marketing and product stakeholders, use SQL, Python, AI, and automation to build scalable analytical assets and support execution of growth initiatives.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Design and optimize electronic trading platforms, develop pricing and risk-management libraries, and collaborate with research teams on software solutions.

Own and operate production quantitative infrastructure for real-time FX pricing, risk, and trading. Build and maintain Python microservices, monitoring, CI/CD, shared quant libraries, and incident response. Collaborate with quants, traders, product and engineering to improve pricing, risk analytics, and trading systems while contributing to quantitative models.

Detect, investigate, and respond to security incidents; maintain logging and SIEM operations; build detections and visibility; support PCI/SOC2/ISO audits; manage endpoint, email, and GitHub security; collaborate across teams and improve on-call and security tooling.

Lead Analytics Engineer mentors analysts, defines data infrastructure roadmap, builds and maintains core datasets and analytics pipelines, drives adoption of tooling (dbt, Airflow, BI), and enforces data modelling, monitoring, testing, and best practices.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.