Top Python Jobs in London

Build, maintain, and scale a multi-venue collateral management platform and related reference data and accounting systems. Design resilient, real-time event-driven distributed systems, integrate trading venue data, contribute to architecture, and own production delivery and support.

Lead design and evolution of a company-wide data platform spanning streaming, batch, warehousing, orchestration, governance, and ML enablement. Deliver core platform capabilities, reliable real-time pipelines, shared tooling, and scalable infrastructure. Drive cross-team initiatives, champion golden paths, improve reliability/cost/observability, ensure regulatory compliance, and mentor senior engineers while influencing technical strategy and standards.

Deliver and validate statistical logic for a company-wide experimentation platform. Prototype analyses in Python, perform independent QA of platform outputs, investigate discrepancies, automate QA where possible, collaborate with Data Engineering, BI, ML and product teams, and contribute to future statistical and ML initiatives.

Own end-to-end cloud cost visibility, tagging and allocation; drive commitment/discount strategy (RIs/Savings Plans); build FinOps reporting and dashboards; improve forecasting and budgeting; identify waste and rightsizing opportunities; define efficiency KPIs and investigate cost anomalies while advising stakeholders.

Lead cloud cost visibility, tagging, allocation and showback. Drive commitment strategy (RIs, Savings Plans), build FinOps dashboards and tooling, improve forecasting and budgeting, identify waste and rightsizing, define cloud efficiency KPIs, investigate anomalies, and collaborate with engineering and finance to embed cost-aware decision-making.

Manage a technical Decision Science team to own the BAU IFRS9 process, produce and validate monthly outputs, develop and test model/code changes, maintain documentation and change logs, investigate model performance and support credit analysis and stakeholder queries.

Design, build, and own end-to-end analytics data products and pipelines using dbt, BigQuery, and Airflow. Develop performant, cost-conscious ETL, automate testing and validation with Python, integrate ingestion tools, and create BI visualisations while maintaining standards and data quality.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Operate and secure self-hosted multi-user vendor applications: deploy and maintain Kubernetes-based instances, build CI/CD pipelines and IaC, integrate SSO/RBAC, run vulnerability scanning and remediation, automate rollouts across endpoints, and manage monitoring, backups, and low-downtime upgrades.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

Lead design, operation, and automation of Fastly's global edge network. Respond to and lead network incident resolution (BGP/anycast), build automation and monitoring, analyze traffic and performance, mentor teammates, and partner with engineering to improve network reliability and tooling.

Founding analytics engineer for Finance to design and own data infrastructure, build production ETL/ELT pipelines, create scalable data models, ensure data quality and testing, and deliver actionable insights to Finance leadership to support month-end close, capital allocation, and IPO readiness.

The Senior Migrations Engineer will develop and maintain the Migrations Platform, ensure reliable migrations, and support onboarding of new schools, emphasizing collaboration and quality improvement.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead Shopify projects, oversee development and integrations, guide engineers and ensure high-quality execution for clients' commerce needs.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

Build and maintain backend-first features and integrations for Triptease's marketing channels. Work across the full stack (primarily backend), design scalable distributed systems, implement CI/CD on cloud platforms, collaborate closely with product teams, pair program, write tests (TDD), and contribute to squad strategy and product quality.

Design, maintain, and optimize HLR/HSS/UDM subscriber templates and roaming logic. Lead Full MVNO profile deployments, collaborate with roaming partners and system integrators, define HLR/HSS KPIs, and troubleshoot signalling using Wireshark and roaming platforms.

Embed STRATOS platform at customer sites, design and deploy scalable generative AI workflows, execute complex data integration with PySpark and distributed technologies, and collaborate directly with clients to translate business needs into maintainable data pipelines and successful implementations.

Own customer collaboration, analyze large datasets to surface strategic insights, work cross-functionally to solve client problems, support strategic initiatives, and present findings to executive stakeholders to ensure product delivers business value.

Design and build configurable, reusable platform functionality in Palantir Foundry; create scalable data models and workflows using PySpark and SQL; develop generative AI workflows; integrate enterprise data; collaborate with FDEs and product to generalize customer solutions into deployable templates.

Conduct empirical research into AI "scheming": design and run RL experiments on LLMs, build model organisms, develop scalable evaluation techniques, study scaling laws and AI cognition, and collaborate with partner labs to influence deployment and mitigation strategies.

Design, run, and automate pre-deployment evaluations of frontier AI models. Analyze large model transcripts to surface behaviors, build scalable evals, collaborate with AI labs, and improve evaluation pipelines and tooling.