Top Python Jobs in London

Build and maintain RegTech SaaS features by translating business requirements into technical specifications. Contribute to product roadmap, architecture, testing (TDD), and collaborate with PMs, BAs, and engineers to deliver reliable, secure, maintainable code for regulatory reporting solutions.

Build end-to-end prototypes (frontend, backend, APIs, data integrations) for industrial AI, Digital Twins, robotics and edge scenarios. Implement and test REST APIs, fix bugs, add basic tests, follow security best practices, document setups, and collaborate in multidisciplinary teams while using AI-assisted tools and container/cloud deployment.

Develop, implement, and maintain pricing and calibration models and curve construction frameworks for inflation derivatives (swaps, caps/floors, options). Collaborate with traders, structurers, risk and model validation to ensure robust, performant production analytics. Implement and test models in production libraries, monitor performance, produce documentation, and stay current with market practice and regulatory expectations.

Lead and provide technical leadership to build and run scalable, high-performance cloud services (search, pricing, booking, ML-backed systems). Design architectures, mentor engineers, improve delivery and reliability, and collaborate across product, design and SRE teams.

Lead development, governance and strategic use of capital models across international entities, owning methodologies, assumptions, data, systems and documentation. Manage capital assessments, Standard Formula catastrophe modules, model change governance, validation remediation, and provide decision-useful insights to stakeholders, regulators and boards while leading a high-performing team.

Lead operational analytics for international market launches (starting with Australia). Build scalable measurement, reporting, and experiments; define metrics, create dashboards, generate insights, and translate findings into recommendations. Partner across Product, Risk, Finance, Commercial, and Operations, run metric reviews, and mentor junior analysts to drive growth, profitability, and operational excellence.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Build and maintain a scalable internal LLM agent framework and backend services in Python, ensuring observability, reliability, and parallel processing. Collaborate with ML/NLP teams, adapt the framework to customer use cases, and build automated LLM evaluation pipelines.

Develop and maintain OpenTelemetry SDKs, libraries and collectors; build instrumentation patterns for C# and Python across Kubernetes and non-Kubernetes workloads; embed observability standards; scale telemetry backends and pipelines; improve incident response through better telemetry and AI-assisted engineering; support platform and application teams and participate in on-call rotation.

Lead mobile QA for iOS and Android: define QA strategy, architect scalable automation, integrate quality gates into CI/CD, automate NFRs (performance, security, accessibility), collaborate with developers on testability, and mentor teams to ensure high-quality mobile and backend delivery.

Build and maintain user interfaces, APIs and pipelines; rapidly turn ideas into MVPs; own implementation and architecture; support releases with documentation and maintenance; contribute to code review, tooling, and product demos to drive customer impact.

The Senior Software Engineer will design and enhance data and infrastructure platforms, support systematic trading strategies, and collaborate with investment teams in a fast-paced environment.

Lead creation and delivery of an Advisory Analytics capability for Transaction Services and M&A. Define analytics and AI strategy, methodologies and scalable use cases. Oversee end-to-end data processes, apply advanced analytics to transactional finance datasets, lead analytics workstreams on complex deals, engage clients and advisers, and expand analytics into other advisory areas while supporting business development and capability building.

Design and own machine learning platforms for pricing technology, streamline workflows, and ensure reliable model performance at scale.

Lead market pricing for the UK pet insurance book: develop demand, elasticity, and price-optimisation models, monitor competitors and market trends, make rate recommendations, present findings to stakeholders, support pricing strategy, and line-manage one pricing analyst.

Design and implement customer/account and address services within Kraken's Customer system. Build robust, fault-tolerant APIs and async processing, improve address verification, collaborate on domain modelling, and scale systems to handle high-volume energy data flows.

Lead and verify hydrological assessments for flood risk, reservoir engineering and infrastructure planning. Provide technical review, mentor staff, engage clients, support business development, drive innovation (including AI), present thought leadership, and maintain industry guidance awareness.

Lead and verify flood hydrological assessments for flood alleviation, reservoir engineering and flood risk; review technical reports; mentor staff; support business development; collaborate with hydraulic modellers; maintain industry engagement and thought leadership; drive innovation including AI-enabled solutions.

Lead and verify hydrological assessments for flood risk, reservoir engineering and flood mapping. Provide technical review, mentor staff, engage clients, support business development, drive innovation (including AI enablement), present thought leadership, and collaborate across disciplines on UK and international water projects.

Investigate and drive resolution of complex cloud-managed and IOS-XE/Catalyst switching issues. Triage escalations using CLI, packet captures, logs, and lab reproductions; coordinate across support, engineering, and product teams; translate findings into product quality improvements, documentation, and training.

Serve as the technical lead for post-sale API customers: drive implementation, run architecture reviews and workshops, ensure API adoption and consumption, remove blockers, align technical strategy with CSMs, and build repeatable onboarding assets to scale Services.

Build and validate verification systems to identify high-quality expert participants. Define problems, generate hypotheses, run experiments, prototype ML/statistical solutions, and turn approaches into production-ready models while collaborating across teams.

Own end-to-end onboarding and normalization of external data into a standardized schema. Map client trade, market, and reference feeds to load-ready formats, coordinate with vendors and R&D, validate ingestions, maintain mappings, monitor feed health, and resolve schema gaps before production.

Design and build reliable data models and exposures using dbt and Snowflake, leveraging AI-assisted workflows. Own data quality, tests, contracts, and observability. Integrate third-party sources, create secure data shares, enable stakeholders with self-service BI, and continuously improve platform tooling and AI-driven processes.

Lead cost and commercial assurance reviews on NEC Option C/E projects, validate open-book costs, audit payroll/timesheets, test rates and invoices, review compensation events, assess commercial controls, produce findings and dashboards, and apply Excel/low-code tools to automate analytics.