Top Python Jobs in London

Manages catastrophe exposure analytics, portfolio stochastic and deterministic appetites, outwards reinsurance netting, net portfolio blueprints, regulatory returns, and post-event analysis. Leads the Analytics and Regulatory team, supports catastrophe model validation, improves dashboards and processes, and communicates complex statistical and insurance insights to senior stakeholders. Requires catastrophe modelling or actuarial experience, people management, simulation platform expertise, SQL, advanced Excel, and strong knowledge of insurance, reinsurance, probability, and statistics.

Develop and maintain C++ and Python simulation software for evaluating autonomous driving systems. Integrate driving-stack, robotics, vehicle-platform, sensor, and machine-learning components; investigate simulation-versus-road differences; improve reproducibility, reliability, observability, testing, debugging, and performance; and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform, and Data teams.

Architects and maintains data warehouses, designs schemas, automates data ingestion and quality checks, builds dashboards and visualizations, and advances data governance. Partners with stakeholders to translate complex data into actionable insights and supports organization-wide data-driven decisions. Mentors BI analysts and promotes technical best practices across the BI team.

Leads client-facing data engineering delivery using Databricks and cloud platforms. Develops batch and streaming pipelines, designs lakehouse and medallion architectures, models and optimizes data with Delta Lake, and establishes governance, security, quality, and CI/CD practices. Collaborates with architects, engineers, analysts, and executive stakeholders while mentoring engineering teams and contributing reusable technical assets and best practices.

Lead global pricing strategy and implementation across academic and corporate publishing products, including journals, transformative agreements, and eBooks. Develop value-based pricing, packaging, business models, pricing metrics, competitive benchmarking, and AI-driven pricing automation. Manage strategic projects, influence cross-functional stakeholders, communicate with executives, mitigate risks, and oversee a pricing analytics manager through a dotted-line relationship.

Manage marketing technology platforms and operations, partnering with engineering on solution design and implementations. Roll out platform features, enable self-service campaign users, automate workflows with agentic AI, build low-code data pipelines, and maintain platform reliability, documentation, and controls. The role requires enterprise marketing systems administration, data integration knowledge, spreadsheet expertise, stakeholder communication, and familiarity with APIs, webhooks, JavaScript or Python, big-data tools, and regulated industries.

Supports BlackRock Aladdin implementation, configuration, onboarding, client servicing, and ongoing platform operations. Analyzes requirements, investigates production issues, coordinates resolutions, monitors data quality and reconciliations, conducts UAT, documents processes, trains users, and supports reporting, integrations, governance, and operational improvements across investment workflows.

Provide technical leadership for cybersecurity R&D projects, from rapid prototyping through production development. Advance methods for defending against unknown cyberattacks, define technical strategies, mentor engineers, collaborate cross-functionally, and communicate with executive leadership. The role requires expertise in programming, software architecture, statistical analysis, malware forensics, Docker, cloud environments, CI/CD, and version control.

Provides technical sales support across customer and partner accounts by conducting discovery, demonstrations, proof-of-concepts, solution design, architecture documentation, integrations, and RFP responses. Acts as a trusted technical advisor, translating customer requirements into tailored solutions involving PKI, cloud platforms, APIs, automation, and cybersecurity technologies. Collaborates with account executives, customer success, product, and engineering teams throughout the sales cycle. Travel is expected 20–25%.

Partner with account executives and architects to win digital-native customers across the UK and Ireland. Lead hands-on evaluations, proofs of concept, technical demonstrations, and competitive positioning for Databricks’ data and AI platform. Engage engineers, founders, and executives; communicate technical and commercial value; develop customer-facing collateral; and support workshops and technical community events. The role requires regular London office attendance and approximately 20–30% travel across the region.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse architectures. Advise senior technical stakeholders, lead architecture discussions, build demonstrations, drive competitive technical wins, coordinate internal and partner resources, and provide product feedback. Develop a technical specialization and communicate complex architectures as business value.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Support and improve large-scale, customer-critical cloud systems. Guide development teams on CI/CD and testing best practices, troubleshoot AWS infrastructure, enhance monitoring and operational stability, design maintenance procedures, and automate deployments. The role also involves managing stateful services, evaluating technologies, standardizing installations, and maintaining compliance with organizational security policies.

Lead quarterly technical reserving analysis for multiple insurance lines within a Lloyd’s syndicate. Manage reserving transformation projects, model and dashboard improvements, governance reporting, regulatory and audit responses, and financial impact analysis. Collaborate with claims, finance, underwriting, auditors, regulators, and external actuaries. Support PRA and Lloyd’s reporting, communicate business trends, enhance controls and methodologies, and mentor junior actuarial staff.

Develop performant, reliable, and well-tested software across backend, frontend, distributed systems, blockchain integrations, and cloud-based applications. The role emphasizes core Java, pair programming, continuous integration, automated testing, knowledge sharing, team rotations, and regular personal development. Developers work collaboratively across a broad technology stack while contributing to a high-performance financial exchange and improving developer experience and technical debt.

Design, build, deploy, monitor, and support backend systems and services using Python and AWS. Own the full software development lifecycle, including requirements, architecture, implementation, testing, production operations, debugging, and continuous improvement. Collaborate with engineering, product, and data science teams to deliver reliable APIs, integrations, reporting, and data-focused capabilities. Communicate technical decisions clearly and practice frequent, high-quality delivery through automated testing and collaborative development.

Build and maintain full-stack product features across frontend and backend using TypeScript and Python. Design, test, deploy, and operate APIs and interconnected services in a TDD-first, product-driven environment. Collaborate with engineering, product, design, and business teams on architecture, UX, trade-offs, and end-to-end delivery. Improve service availability, security, reliability, and frontend workflows while applying agile and CI/CD practices.

Lead the design and delivery of AI-based solutions for enterprise customers, ensuring successful integration and optimization across multiple projects, while mentoring junior engineers.

As a Senior Business Analyst (Valuations), you will analyze economic value, build models, conduct testing, and collaborate with cross-functional teams to inform business decisions.

Work in multidisciplinary teams to design, build and maintain data pipelines, models and analytics products using SQL, Python and modern data tools. Contribute to cloud-based data solutions (AWS/Azure), apply software engineering and data governance practices, create visualisations, and collaborate with stakeholders in Agile delivery to produce maintainable, production-ready data services.

Research and build post-training solutions for coding LLMs and agentic systems: design experiments, implement policy optimization and fine-tuning methods, translate prototypes into production, and communicate findings across teams.

Conduct quantitative equity research supporting alpha generation, risk management, and portfolio construction. Build multifactor models using linear, nonlinear, and machine learning approaches; evaluate structured and alternative datasets; analyze risk exposures, optimization, performance attribution, and portfolio positioning; and provide recommendations to portfolio managers. Contribute to research projects, product development, fund pitches, client communications, and internal research publications.

Manage global indexes by validating calculations, researching corporate actions, monitoring data feeds, performing quality assurance, analyzing impacts, and ensuring accurate dissemination. Prepare client statistics, factsheets, presentations, and automated custom reports, while responding to client inquiries. The role requires financial and portfolio mathematics knowledge, advanced Excel skills, strong analytical and communication abilities, and coordination across multiple deadlines.

Own the development of user-facing frontend experiences for real-time AI agent workflows. Drive frontend architecture and technical direction, improve code quality, performance, testing, and maintainability, and collaborate with users, Product, Design, and Engineering. Help simplify complex enterprise workflows while shaping interaction patterns for AI-powered software. The role also involves influencing technical decisions in an early-stage, high-ownership environment.