Top Python Jobs in London

Own customer-facing platform implementations from discovery through production. Translate business requirements into workflows, configurations, integrations, tooling, and scalable technical solutions using Python, TypeScript, React, APIs, SQL, and related technologies. Design automated testing, manage GitHub Actions deployment pipelines, troubleshoot technical issues, support customer demonstrations and UAT, and collaborate with Product and Engineering to improve platform capabilities and delivery standards.

Supports pricing of portfolio insurance deals across the lifecycle by preparing data, running models, reviewing outputs, evaluating deal structures, and identifying sensitivities. Performs portfolio monitoring, maintains benchmarks and metrics, develops pricing assumptions and expected loss ratios, and contributes to pricing tools, business planning, and cross-functional initiatives. Provides informal guidance to junior analysts and collaborates with underwriting, reserving, capital modelling, finance, and analytics teams.

Deliver end-to-end Palantir Foundry solutions, including data pipelines, transformations, ontology models, integrations, and production deployments. Translate client requirements into scalable, governed, high-performance data applications using Python, SQL, and PySpark. Collaborate with business and technical stakeholders, lead solution design and implementation, support adoption, and provide technical guidance. The role also contributes to data architecture, testing, CI/CD, data quality, security, and platform engineering best practices.

Own complex analytical problems across credit, acquiring, and business account products. Build NPV, unit economics, customer lifetime value, metrics, and experimentation frameworks using SQL and Python. Analyze customer behavior, product performance, and portfolio economics to support pricing, segmentation, product strategy, and investment decisions. Partner with cross-functional teams, communicate insights to senior stakeholders, challenge assumptions, and improve analytical methodologies and business performance.

Support electronic foreign exchange clients across EMEA by resolving trading-flow inquiries, coordinating issues with sales, trading, technology, operations, and credit teams, assisting onboarding and platform enablement, preparing performance reports, documenting feedback, identifying control gaps, and supporting business initiatives. Associate-level employees also manage workstreams, guide junior colleagues, and handle escalations while maintaining regulatory compliance.

Lead complex consulting projects for life insurance clients across capital, risk, regulatory, modelling, validation, and capital management initiatives. Advise stakeholders, manage project delivery, support business development, develop client relationships, modernize actuarial processes through digital tools, and mentor junior colleagues. The role also contributes to research, thought leadership, industry engagement, and growth of the firm’s insurance actuarial capabilities.

Develop and support complex data science models and applications for retail clients, using statistical modeling, machine learning, Python, SQL, and related technologies. Translate complex business problems into scalable, reusable solutions that generate measurable customer and commercial outcomes. Collaborate with client leadership, define new workstreams, communicate insights to nontechnical stakeholders, and help shape innovative approaches in category management and retail analytics.

Lead complex investigations into cryptoasset use by terrorist actors, validate attribution, integrate entities and wallet clusters into intelligence datasets, produce typologies and detection logic, brief clients and public-sector partners, and improve workflows and product capabilities to support disruption of illicit networks.

Lead the design, development, optimization, and production deployment of machine learning and statistical models for automated insurance risk assessment and underwriting. Architect scalable data pipelines and infrastructure, collaborate with data scientists, engineers, and underwriters, mentor engineers, establish technical best practices, and evaluate emerging AI and machine learning techniques.

Develop and deliver grid connection and power system studies for utility-scale renewable energy projects across the UK and Ireland. Responsibilities include grid code compliance analysis, connection due diligence, transmission and distribution planning, design reviews, cost estimation, technical specifications, quality control, budget and schedule input, and collaboration with OEMs and clients.

Build and maintain full-stack systems for electric vehicle leasing using Python, React, GraphQL, PostgreSQL, NoSQL databases, and AWS. Responsibilities include developing APIs, integrating internal and third-party services, creating performant frontend applications, maintaining scalable code, collaborating cross-functionally, owning features from inception through delivery, and mentoring teammates. Bonus experience includes TypeScript, Next.js, AWS infrastructure as code, event-driven systems, and AI technologies.

Analyze and structure private mortgage, securitization, covered bond, and consumer-credit investments across an £8 billion portfolio. Responsibilities include cash flow and capital structure modeling, transaction analysis, periodic note issuance, scenario analysis, rating agency engagement, investment recommendations, and collaboration with portfolio management, risk, finance, legal, and governance teams.

Operate and scale GPU infrastructure platforms across Linux, bare-metal, cloud, and Kubernetes environments. Design reliable platforms, automate provisioning and operational workflows, deploy improvements, manage observability, respond to incidents, and participate in on-call rotations. Collaborate with infrastructure, networking, customer success, and software teams while troubleshooting complex systems and balancing design, risk, cost, and business outcomes.

Leads a cross-functional engineering team building machine learning and AI-powered payment intelligence products. Owns product quality, delivery, operations, technical standards, prioritization, experimentation, and stakeholder expectations. Manages engineers, supports hiring and career development, and collaborates with product managers, designers, data scientists, and commercial teams. Contributes technical expertise across backend and frontend development while fostering reliable, well-tested systems and a strong culture of experimentation.

Build and maintain production-grade ELT pipelines and a performant BigQuery data warehouse using Dataform. Ingest structured and unstructured data from databases, cloud storage, APIs, and third-party feeds. Develop reporting datasets, data models, validation, monitoring, governance, documentation, and access controls. Collaborate with product, operations, AI, engineering, finance, and BI teams to translate business and financial requirements into reliable, trusted data infrastructure.

Design and develop production-grade agentic AI solutions for Funds Transfer Pricing and Financial Hedging. Build multi-agent systems, planning and reasoning capabilities, RAG architectures, AI APIs, tools, and microservices. Optimize systems for latency, throughput, cost, and reliability. Drive AI strategy, research, architecture, and technical standards while mentoring engineers and supporting multiple project teams.

Lead end-to-end customer engagements to define and deploy agentic AI solutions across Public Sector, Nonprofit, and Education. Architect AI strategy and responsible-agent designs, manage program delivery and stakeholder communication, coordinate with Forward Deployed Engineers, and drive adoption, consumption, and expansion metrics. Provide product feedback and use AI tools to accelerate development. Travel to customer sites up to 25%.

Develops production-quality Python and SQL applications, data pipelines, integrations, controls, reporting, and analytical tools supporting the full energy trading lifecycle. The role focuses initially on settlements and commercial finance, automating processes, improving reconciliation and exception management, and supporting position reporting, P&L, and commercial analysis. It collaborates with Trading, Settlements, Finance, Quantitative Analytics, IT, and Data Architecture teams while contributing to wider trading and energy-market analytics.

Support Celonis Value Engineers in analyzing customer process data, identifying business challenges, building use cases, quantifying financial impact, and preparing management presentations. Collaborate with customers and partners, present findings to senior decision-makers, and promote Celonis AI capabilities and value propositions. The role combines consulting, data analytics, process mining, business case development, and customer-facing technology advisory work.

Deliver catastrophe modeling, exposure management, and portfolio analytics across Markel International. Support underwriting decisions through pre-underwriting analysis, risk reporting, aggregation management, and ad hoc insights. Build relationships with underwriters and senior stakeholders, present analytical findings, collaborate with global teams and model vendors, and contribute to portfolio analytics projects and regulatory reporting for Lloyd’s and the PRA.

Analyzes and monitors hedge fund risk, performance, and data integrity for the Schroder GAIA liquid alternatives platform. Maintains daily risk and performance data processes, develops reports and analytical solutions, interprets investment data using Snowflake, Python, and Alteryx, and supports risk models and systems. The role collaborates with fund managers, research teams, product teams, and external providers while developing expertise in portfolio risk, performance attribution, and alternative investment strategies.

Develop and maintain embedded firmware for IoT smart home devices using constrained microcontrollers and real-time operating systems. Responsibilities include requirements analysis, firmware development, hardware debugging, board bring-up, testing, optimization, code reviews, bug resolution, and field deployment. The engineer will collaborate with hardware, platform, app, and customer-facing teams while working with communication protocols, IoT security, networking, and connected-device technologies.

Develop and enhance software, data pipelines, automated controls, reporting, and analytical tools supporting the full energy trade lifecycle. The role focuses initially on settlements, commercial finance, P&L, position reporting, reconciliation, and exception management across power, gas, carbon, and battery assets. Responsibilities include integrating Aligne, Microsoft Fabric, and internal systems; replacing manual processes with scalable applications; and collaborating with settlements, finance, trading, quantitative analytics, IT, and data architecture teams.

Build and own full-stack features for a cloud platform supporting autonomous drone operations. Responsibilities include developing React and FastAPI applications, APIs, data pipelines, storage systems, mission-planning interfaces, operational views, and data review workflows. The role requires scaling systems handling imagery, telemetry, and flight records, while improving testing, observability, CI/CD, architecture, and engineering practices. Collaboration spans flight operations, autonomy, inspection, asset, and customer teams.

Lead the architecture and technical direction of OQC’s hybrid compute platform, connecting CPUs, GPUs, simulators, and QPUs. Design stable interfaces, orchestration, capability matching, fallback mechanisms, policy enforcement, and backend adapters. Establish standards for reliability, security, testing, observability, and extensibility while remaining hands-on with implementation. Coordinate technical contributors across product, engineering, commercial, and leadership teams, and lead integrations with infrastructure, Databricks, QPU systems, and customer environments.