Top Python Jobs in London

The Senior Data Modelling Consultant will design enterprise-grade data models, support data migrations, and enforce data governance standards for financial services clients.

Lead end-to-end incident response for high-severity security events across cloud environments, perform DFIR investigations, build detection and automation (including AI-assisted) workflows, partner cross-functionally, produce executive communications and RCAs, maintain runbooks/playbooks, and mentor other engineers within a 24/7 global on-call model.

The Senior Data Strategy Consultant will manage client data strategies, facilitate data integration, and improve data processing efficiency across 80+ clients, providing training and ensuring best practices.

Lead technical deployments of Celonis containerized solutions in customer environments. Analyze architectures, design integrations (APIs, data ingestion), implement IaC and Kubernetes-based deployments, advise on authentication/user provisioning, remove technical barriers to adoption, and collaborate with product teams to promote reusable platform solutions.

Lead deployment and onboarding of Celonis containerized solutions as the technical contact: analyze customer architectures, design integrations (APIs, data pipelines), implement Kubernetes deployments and IaC, advise on authentication/user provisioning and security, remove technical blockers, promote reuse, and collaborate with product teams to maximize adoption.

The Senior Software Engineer II will enhance operational excellence by designing automated reliability systems, incident management tooling, and observability infrastructure while mentoring teams and implementing AI-driven solutions.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Senior Software Engineer will lead the development of backend systems for payment processing, collaborating with teams, setting goals, and fostering quality and ownership in code development.

As an Enterprise Sales Engineer, you'll provide technical support during sales processes, deliver presentations to clients, and engage with customers to ensure successful technical evaluations and product integration.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.

The Technical Account Manager provides hands-on technical support and guidance to Datadog's customers, focusing on product adoption, IT Operations analysis, and maximizing customer satisfaction.

Serve as Datadog expert for partner channel: onboard, train, and enable partner technical teams; support migrations, modernization, demos, proofs of value; advocate partner technical needs internally; collaborate with product, engineering, and partners to drive adoption and prioritize features.

Lead bioinformatics strategy and execution across Discovery client engagements. Design and implement computational multi-omics workflows, translate biological questions into analytical frameworks, deliver client-ready insights, mentor junior staff, support business development, and help grow internal bioinformatics capabilities and thought leadership.

Build full-stack, low-latency trading and pricing tools for options traders. Collaborate with traders, researchers, and business stakeholders to design intuitive frontends and scalable backend services, prototype and productionize distributed systems, and expand trading capabilities globally while improving performance, stability, and usability.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

Build and maintain data pipelines and integrations to enable continuous control monitoring for security and compliance. Translate control requirements into measurable KPIs and dashboards, partner with control owners, and deliver data-driven insights to reduce risk and improve compliance processes.

Develop and deliver pricing, revenue forecasting, attribution, and capital-efficiency analytics for securities lending. Partner with trading, research, and finance to refine pricing models, produce revenue estimates, and optimize RWA and capital footprint using large datasets and quantitative techniques.

As a PhD intern, you'll develop trading strategies, conduct statistical analysis, backtest models, and collaborate with experienced team members in quantitative research.

Design, build, test, and deploy scalable AI services integrated with operational systems. Develop Python services, REST APIs, ETL/data pipelines, IaC, and monitoring; collaborate with AI specialists and operations stakeholders to improve workflows, controls, and production readiness in Markets Operations.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Work onsite with NATO customers to design and implement data-driven software solutions. Own end-to-end projects: architect systems, wrangle large-scale data, build web apps, collaborate with technical and non-technical stakeholders, and iterate rapidly in high-stakes environments.

As a Deployment Strategist, you will engage with customers to address their data-related challenges, develop workflows, integrate data streams, and support user training, presenting findings to diverse audiences.

The Senior Backend Software Engineer will design, develop, and maintain scalable backend services, optimize applications, build APIs, and collaborate across teams to improve user workflows and product efficiency.

As a Deployment Strategist, you will address complex operational challenges by analyzing data, collaborating with clients, and developing tailored solutions to enhance decision-making processes.

The Forward Deployed Enablement Engineer supports customer success by resolving technical issues, enhancing tools, and ensuring efficient workflows on Palantir's platforms.