Top Python Jobs in London

Designs, deploys, and operates highly available, secure, multi-region cloud platforms. Responsibilities include managing AWS and Kubernetes services, automating production operations, improving reliability and scalability, participating in 24x7 incident response, and developing tooling for deployment, testing, failure recovery, and platform security. The role collaborates with application engineering teams and requires Linux administration, Python or Go development, container security, and CI/CD automation experience.

Applies advanced statistical and machine learning methods to B2B supply optimization, builds datasets and models, designs experiments, creates visualizations and dashboards, and translates analysis into business recommendations. Leads analytical workstreams, automates reporting, documents reproducible code, communicates with senior stakeholders, and mentors junior analysts.

Build and deploy production ML models for lodging ranking and personalization, from problem framing through feature engineering, model development, A/B testing, and monitoring. Collaborate with engineers, product, and analytics to measure impact, detect model degradation, and iterate on robust, explainable solutions at scale.

Senior individual contributor providing analytics and decision support for Localization product. Design and lead A/B and causal experiments, build and deploy production ML/NLP models, and develop scalable SQL/Python analytics pipelines and dashboards. Translate multilingual insights for stakeholders, mentor junior staff, and co-own metric frameworks and ML-enabled solutions.

Own the Safe Change product domain for Cloudflare’s control plane, defining capabilities for configuration previews, staged rollouts, monitoring, rollback, versioning, segmentation, and governance. Develop product vision, strategy, requirements, and data-driven roadmaps while partnering with engineering, product, customers, and go-to-market teams. Drive adoption of reusable platform capabilities, improve deployment safety, reduce operational risk, and establish measurable success metrics across internal and external users.

Leads pre-sales design of modern enterprise data platforms, including lakehouse, warehouse, federated, and data-product architectures. Advises customers on data strategy, legacy estate modernization, integration, governance, semantic layers, security, observability, FinOps, and AI-ready data. Leads discovery workshops, demonstrations, proofs of value, proposals, RFP responses, TCO and ROI modeling, partner engagement, and technical handoffs. Develops reusable reference architectures and go-to-market offerings while mentoring colleagues and maintaining platform expertise.

Build and maintain reusable Terraform modules for cloud database platforms across AWS and GCP. Develop Python automation, validations, testing, documentation, CI/CD workflows, security guardrails, and developer-experience tooling. Partner with application, security, risk, and compliance teams to create composable, well-documented infrastructure patterns with sane defaults. Improve module reliability and operability while expanding multi-cloud coverage.

Build, deploy, and maintain full-stack AI applications, services, and data pipelines for enterprise use. Collaborate with data scientists, machine learning engineers, research scientists, and technical teams to productionize AI products. Develop secure, scalable, resilient software; maintain APIs and backend services; conduct code reviews; troubleshoot complex issues; apply CI/CD and software security practices; and support LLM applications using retrieval-augmented generation and prompt design.

Conduct quantitative research and develop analytics, models, and end-to-end tools for credit electronic trading, including corporate bonds, bond portfolios, and CDS indices. Collaborate with market makers and risk managers to improve systematic market-making strategies. Apply statistical, financial mathematics, and AI/ML techniques, including deep learning and time-series modeling, to build scalable production solutions and translate market data into actionable trading insights.

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

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

Lead data science initiatives for KYC and customer onboarding, developing and managing machine learning systems for document verification. Responsibilities include creating image and tabular datasets, iterating on deep learning models, optimizing model performance, maintaining Python code, researching fraud prevention methods, collaborating with stakeholders, and mentoring junior data scientists.

Lead Wise Platform’s global business operations and servicing strategy for banking and enterprise partners. Own operational KPIs, SLAs, capacity planning, and the operational roadmap while addressing structural issues and launching new operating models. Partner cross-functionally with product, customer success, servicing, operations, FinCrime, and expansion teams. Drive partner success, influence without direct authority, and use qualitative and quantitative data to improve high-volume customer service operations.

Leads technical presales engagements for HPE data center networking and WAN routing solutions. Designs scalable architectures, supports complex sales cycles, delivers technical presentations and demonstrations, contributes to proof-of-concept testing and tender responses, and advises customers, partners, sales teams, product management, and engineering. Provides networking thought leadership, conference presentations, mentoring, and technical guidance across routing, automation, network fabrics, SDN, containers, and telemetry technologies.

Software Engineering Interns will ship projects affecting Cloudflare’s global Internet network, collaborate cross-functionally, work with mentors, and present their completed projects. Interns will develop software at Internet scale using technologies such as TypeScript, JavaScript, Go, Rust, C/C++, and Python. The role requires a full-time, 12-week minimum commitment in Cloudflare’s London office three to five days per week.

Supports the EMEA Global Markets Sales Credit Risk Portfolio team by administering counterparty exposure activities, monitoring limits and risk concentrations, escalating framework deviations, maintaining client data, supporting management information reporting, and overseeing client restriction controls. The role partners with Sales and Trading, Business Management, Credit Risk Management, and other stakeholders to strengthen governance, meet deadlines, and manage markets-related credit risk.

Design and implement knowledge graph, semantic modeling, and advanced data solutions for financial services clients. Identify use cases for graph technologies, analytics, and AI; apply responsible AI workflows; explain complex approaches to stakeholders; and contribute to consulting practice growth through thought leadership, ecosystem development, and talent development.

Design and implement explainable AI/ML solutions, multi-agent systems, and production-grade data science tools for Risk Management and Compliance. Develop secure code, APIs, batch pipelines, monitoring, and retraining processes while partnering with Product, Engineering, Model Risk, Compliance, and business stakeholders. Support Responsible AI standards through documentation, fairness testing, human-in-the-loop controls, Agile delivery, and operational integration.

Analyze complex datasets to identify actionable payment optimization insights for merchants and internal stakeholders. Build scalable data frameworks, self-service analytics tools, ETL pipelines, and data visualizations. Use Python, SQL, PySpark, statistics, LookML, and Looker to support automation, experimentation, and business decision-making. Serve as a payment optimization subject matter expert while managing stakeholder relationships and clearly communicating recommendations.

Serve as trusted advisor to banking clients to identify, quantify, and realize value from Celonis Process Intelligence. Lead value assessments, build business cases and demos, run workshops, manage stakeholder communication, drive adoption, expansion and renewals, and feed product teams with customer insights.

Lead Data Scientist developing AI-driven AML and financial crime detection systems using supervised, unsupervised, semi-supervised, and generative AI methods. Responsibilities include model development, evaluation, optimization, deployment, production Python services, automated retraining pipelines, operational process improvement, investigator insights, and mentoring junior team members.

Leads an engineering team responsible for building and operating multi-region observability capabilities across cloud-native microservices. The role sets platform strategy, architects resilient telemetry tooling, establishes instrumentation standards, mentors engineers, and ensures security and regulatory compliance. Responsibilities include software design, development, troubleshooting, technical documentation, data analysis, developer tooling, automation, and responsible use of AI-assisted development tools.

Lead development of production AI agents and machine learning workflows for B2B agentic commerce and payments. Responsibilities include agent orchestration, negotiation, onboarding, model training and serving on Kubernetes, evaluation, observability, secure software development, model-risk documentation, and technical leadership. The role also guides AI-assisted engineering practices and evaluates architectures with vendors and internal teams.

Develop and deploy production AI/ML applications for digital banking, using Python, SQL, cloud platforms, LLM patterns, classical machine learning, and data analysis. Responsibilities span requirements gathering, solution design, prototyping, evaluation, deployment support, monitoring, governance, and iteration. The role collaborates with product, operations, marketing, and technical teams to deliver customer and operational improvements while supporting risk, privacy, and model controls.

Analyze digital content revenue, manage recurring reports and databases, monitor market trends, and communicate findings to internal and external stakeholders. The internship develops Excel, database, coding, analytical, and commercial skills while providing insight into the film lifecycle and home entertainment business.