Top Python Jobs in London

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

Lead development and scaling of an enterprise generative AI platform. Work across backend, frontend, and ML/LLM integrations, own major product areas, deliver high-velocity experiments, and ensure scalability and reliability from concept through production.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines and ML integrations, delivers measurable outcomes, and creates reusable assets while working with cross-functional teams and enterprise customers.

Lead cloud network reliability and automation across AWS: design and maintain IaC (Terraform), CI/CD pipelines, load balancers, CloudFront and Cloud WAN, implement observability and governance, participate in incident rotation, and drive cross-functional infrastructure improvements.

Support customer-facing AI initiatives by helping discover use cases, build demos and prototypes, configure and test conversational AI experiences, assist integrations with APIs and data sources, participate in workshops and presentations, and document outcomes while learning LLMs, RAG, and prompt design.

Design, build, and deploy AI-powered solutions (LLMs, RAG, agents) to improve productivity and operational efficiency. Partner with business teams to define use cases, integrate AI with enterprise systems, create production-ready prototypes, and ensure solutions meet governance, security, and responsible AI standards.

Lead system integration, verification, validation and qualification for rail solutions. Develop test plans, execute test specifications, automate testing, manage defects, support stakeholders, and oversee IVVQ tools and configuration control across projects.

Handle complex, custom client requests by building end-to-end reports, performing quantitative analysis and data mining using SQL/pySpark and Python, developing research tools on Similarweb raw data, and partnering with Engineering and Advisory teams to scale solutions and deliver strategic data products.

Lead development of production-grade agentic and LLM-powered systems: identify high-value AI opportunities, turn POCs into live agents, design resilient infrastructure and governance, build shared frameworks, and train teams to safely scale AI across the product.

Collect and analyse open-source online data (including social media) to produce quantitative and qualitative insights, draft analytical reports, maintain databases, present findings to clients, support methodology development and business development, and respond to incidents outside regular hours.

Support ETF primary and secondary markets, assist market makers/APs and trading desks, build surveillance and analytics, maintain ETF reporting, manage listings and trade lifecycle (creations/redemptions/pricing), liaise with exchanges and stakeholders, and monitor regulatory/competitive developments to ensure market quality.

The Technical Lead will oversee regulatory reporting projects, ensuring compliance and collaboration with various teams while mentoring juniors.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

Hands-on DevOps Engineer supporting AWS-based infrastructure and Kubernetes platforms. Build and maintain IaC (Terraform), CI/CD pipelines, monitoring, security, automation, and platform reliability. Support development teams, manage container image pipelines, maintain documentation, and contribute to cloud cost optimisation and incident resolution.

Design, build, and maintain high-performance C++ systems on Linux to support large-scale quantitative research and portfolio production. Develop distributed, scalable tooling, optimize algorithms and concurrency, collaborate with researchers and portfolio managers, and drive platform reliability and performance.

Manage daily transaction reporting (MiFIR/MiFID II): exception handling, reconciliation, incident logging, validation triage, governance packs, regulatory change testing, procedure maintenance, and process improvement.

Provide deal-level actuarial pricing and portfolio performance analysis for structured, multi-line and delegated insurance solutions. Assess profitability, volatility and capital impacts, support portfolio monitoring, business planning and exposure management. Partner with underwriters and analytics teams to translate technical outputs, improve pricing tools and data quality, and contribute to pricing transformation initiatives.

Ten-week paid summer internship in London offering hands-on exposure to energy markets and commercial trading. Interns deliver a business project, receive technical and professional training, work with trading, systematic, origination, analytics, and risk teams, and present outcomes to senior stakeholders. Successful interns may progress to a two-year Commercial Graduate Programme.

Design, build, and integrate generative AI and AI-agent solutions for customer operations, automation, and lending workflows. Prototype quickly, implement Python-based systems, connect LLMs to APIs and databases, design prompts and evaluation processes, and improve production reliability with testing, monitoring, and fallback handling.

Lead analytics for global client accounts, building measurement frameworks, designing experiments, delivering campaign insights, and managing stakeholder relationships. Drive commercial scoping, tool integration, and mentor analysts while applying statistical methods and advanced measurement techniques to optimize media effectiveness.

Lead end-to-end ownership of the data estate and delivery of large data transformation programmes. Manage stakeholders, vendors, budgets, SDLC, data platform architecture, compliance, and a cross-functional team to deliver Snowflake and relational database solutions aligned to business strategy, especially for insurance.

Lead forward-looking risk analysis for equity portfolios across EMEA, challenge portfolio positioning, and present findings to portfolio managers and senior management. Monitor portfolios against internal risk guidelines, highlight exceptions, and support risk management actions. Maintain and enhance risk tools and techniques, and provide quantitative insights to product and client teams.

Manage LDI and derivative portfolios, construct hedges aligned to client liabilities, monitor risk and performance using Aladdin, trade OTC derivatives, develop market views and products, prepare client reports and presentations, ensure regulatory and control compliance, and coach PM team talent.

Conduct forward-looking risk analysis on equity portfolios across EMEA, lead investment risk reviews, monitor compliance with internal guidelines, enhance risk tools, and provide quantitative insights to product and client teams to support investment decisions.