Top Python Jobs in London

Own customer projects to integrate, deploy, and validate SPAICE spatial AI on drones, satellites, and robotic platforms. Tasks include software and systems engineering, Linux and embedded configuration, networking and hardware integration, field testing, debugging across software/hardware, and direct collaboration with defence and aerospace customers.

The Senior Software Engineer will design and maintain scalable systems, improve system performance, mentor engineers, and support on-call responsibilities.

Lead and deliver end-to-end marketing analytics and MMM projects for global clients. Translate econometric and MMM insights into actionable business recommendations, manage client relationships, and lead teams (3–8 consultants). Support project planning, design, and implementation while communicating results to technical and non-technical stakeholders.

Deliver end-to-end data integration, migration, and development work on Azure. Design, build, test, and deploy ETL/ELT pipelines, perform data mapping/transformation/reconciliation, maintain application and integration code, support IaC and environment management, troubleshoot data quality and performance issues, and liaise with clients and senior team members on planning and delivery.

Lead end-to-end Marketing Mix Modeling (MMM) and marketing effectiveness projects, applying econometrics, Bayesian and machine learning methods. Manage small teams, build dashboards, translate analytics into C-suite recommendations, optimize marketing spend and campaign ROI, run client workshops, mentor junior staff, and support business growth and thought leadership activities.

The Product Manager will enhance the Ipsos iris reporting interface, manage collaboration with teams, gather requirements, execute testing, and maintain documentation within an Agile framework while utilizing audience measurement tools.

The AI Engineer will focus on the lifecycle of production-grade AI, managing model training, fine-tuning, inference optimization, and production engineering, while collaborating with stakeholders to implement business requirements.

Maintain and develop exposure-based pricing models for Travelers Europe; implement algorithms in the Hyperexponential production system; run batch rating and base-rate calibration processes in Python; prepare data for actuarial rating validation; liaise with underwriters; expand pricing datasets and support pricing team tasks including case pricing, business planning, and reinsurance purchase.

Interns will work on AI, code understanding, and data analytics, focusing on distributed systems and AI agents while collaborating with experienced engineers.

The Senior Credit Analyst will optimize credit decisioning, define credit strategies, analyze data using Python and SQL, and collaborate cross-functionally to enhance portfolio performance.

Lead month-, quarter-, and year-end close; prepare complex GL entries; perform balance sheet reconciliations; manage intercompany and multi-currency accounting; support consolidated statutory financial statements, external audit, SOX compliance, and optimise ERP/GL processes.

As a Credit Risk Manager, you'll lead analysts to optimize credit strategies, analyze data for decision-making, and improve portfolio performance in consumer finance products.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

The Quantitative Developer will build tools and dashboards, integrate AI solutions, and collaborate closely with quant researchers to enhance workflows and productivity within Fundamental Equities.

The Product Manager will lead the development of AI solutions, manage cross-functional teams, and drive product strategy, focusing on customer needs and enterprise applications of ML-powered products.

Join PIMCO's Client Solutions & Analytics team in London to support asset allocation, risk management, ALM, and portfolio analytics. Develop and maintain quantitative models and tools, run risk analytics and scenario analysis, produce thought leadership, and use AI-enabled toolkits to streamline client deliverables while managing multiple projects.

Join the Platform Core team to design, operate, and automate Depop's AWS-based infrastructure. Build and maintain Terraform/IaC, CI/CD pipelines, Cloudflare edge configurations, and platform tooling using Python/Golang. Mentor engineers, participate on-call, improve security posture, and drive platform reliability and developer self-service.

The Data Science Manager will collaborate with business partners, oversee predictive model building, manage a team, and deliver analytical insights to drive business decisions.

Responsible for tuning GPU cluster performance, troubleshooting InfiniBand networks, integrating hardware, enhancing automation, and managing GPU devices in HPC.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.

The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.

Hands-on engineering role to improve robustness, stability and performance of technology systems, with initial focus on redesigning and enhancing data pipelines. Perform technical analysis, implement changes, participate in coding and code reviews, and collaborate with production, engineering and business teams. Exposure to trading systems and data lake used for regulatory reporting.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

As a Senior Data Scientist, you will optimize marketing performance, develop machine learning models, analyze A/B tests, and collaborate closely with marketing and data engineering teams.

The Senior Data Scientist will optimize marketing campaigns using data solutions, machine learning models, and collaboration with performance marketing teams to enhance business strategies at Preply.