Top Python Jobs in London

Lead technical design, delivery, governance, and operation of cloud-native data and analytics products on GCP. Provide DevOps and data engineering leadership, implement secure scalable architectures, CI/CD, infrastructure as code, observability, data integrations, and compliance controls. Remain hands-on in solution design, coding, reviews, and complex problem-solving while mentoring engineers, shaping technical strategy, partnering with stakeholders, and driving continuous improvement.

Lead the technical direction, architecture, quality, security, governance, and operational excellence of Funding Circle’s data platform. Own Snowflake infrastructure, ingestion, orchestration, CI/CD, observability, cost controls, and the Athena-to-Snowflake migration. Mentor engineers, establish reusable standards, support data teams, manage vendors, document technical decisions, and guide safe AI-assisted engineering practices.

Lead cyber threat research by hunting, detecting, and monitoring threats; analyze threat groups, actors, TTPs, and fraudulent ecosystems across clear, deep, and dark web sources. Produce technical intelligence reports, assess emerging threats, enrich analyst tradecraft, and brief clients and stakeholders. The role requires expertise in anti-bot or proxy research, web scraping, technical CTI hunting, OSINT/WEBINT, and cybercrime intelligence.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure, including compute, networking, CI/CD, Kubernetes, Cloud Run, and Terraform-managed environments. Lead adoption of AI agents using Claude, developing integrations, orchestration, observability, guardrails, and cost controls. Support the Azure-to-GCP migration, create reusable AI capabilities, document platform practices, collaborate with product engineers, drive adoption, make technical decisions, and mentor colleagues.

Develop and maintain pricing and risk models and quantitative libraries for FX options. Design algorithms, APIs, risk frameworks, testing processes, and pricing engines using C++ and Python. Collaborate with traders, sales, risk teams, and international quant groups to explain model assumptions, support products, and improve quantitative tools. The role requires advanced knowledge of FX valuation, options pricing, probability, stochastic processes, and quantitative modeling.

Build and run FinOps engineering platforms that make Azure cloud costs visible, attributable, and actionable. Responsibilities include developing Python data products and Databricks pipelines, Power BI semantic models, Azure infrastructure, CI/CD, monitoring, cost allocation guardrails, optimization tooling, and unit economics. The role partners with engineering and finance teams, supports forecasting and budgeting, leads technical direction, mentors engineers, and ensures production reliability, security, and compliance.

Manage daily P&L reconciliations, balance-sheet substantiation, accounting adjustments, and financial reporting for the Solutions division. Analyze structured-products economics, valuation adjustments, costs, and legal-entity impacts while partnering with Risk, Valuation, Front Office, and Operations. Support FCA compliance, resolve portfolio discrepancies, build trade flows to the general ledger, and lead finance transformation and process-improvement initiatives.

Build and maintain automated cloud-based data solutions and scalable ETL pipelines. Design end-to-end data architectures, use Databricks, SQL, Python, and Spark, and ensure reliable, high-quality data delivery. Own complex backlog tasks, support code quality through reviews and pair programming, and experiment with innovative solutions. Help develop analytical tools that enable data-driven decisions, operational efficiency, and improved business performance.

Creates camera and object motion tracks, 3D geometry, and wireframe verification passes to integrate digital elements with live-action footage. Collaborates with leads, production teams, and downstream VFX departments to ensure accurate scene reconstruction and seamless CG integration. Requires foundational computer graphics knowledge, familiarity with Maya, 3DE, Linux, compositing, photography, and lens perspective, plus strong communication and deadline-management skills.

Monitor and analyze security alerts, handle incidents across Windows, Mac, and Linux, perform malware analysis, and remotely remediate malicious activity. The role also develops detection and response processes, communicates findings and recommendations to customers, contributes to security procedures, and supports thought leadership through public content and speaking engagements.

Lead marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, experimentation, and budget analysis. Partner with Marketing, Finance, RevOps, and Business Intelligence teams to connect spend to revenue, improve data quality, evolve attribution models, and automate reporting with AI and predictive modeling.

Leads international demand planning for e.l.f. Beauty’s global portfolio, including forecasting, inventory optimization, and IBP process management. Collaborates with sales, marketing, operations, and senior leadership to align forecasts, analyze market trends, improve planning accuracy, and identify risks and opportunities. Oversees demand planning processes, systems, calendars, and recurring forecasts while leading cross-functional teams in a fast-growing, high-SKU CPG environment.

Develop and manage international demand forecasts, analyze sales trends and seasonality, and lead demand planning strategy across category segments. Collaborate with sales, customer supply chain, and cross-functional teams on promotional impacts, consumption, shipments, and IBP alignment. Maintain forecast accuracy and bias metrics, build driver-based forecasts for complex SKU portfolios, and support product lifecycle planning in a fast-paced CPG environment.

Graduate investment analyst supporting institutional client solutions through portfolio construction, asset allocation, investment research, portfolio analysis, reporting, and investment advice across public and private markets. The role is a three-year rotation programme offering exposure to asset management disciplines and preparation for the CFA qualification. Candidates need strong quantitative, technical, communication, problem-solving, and teamwork skills, with proficiency in Excel and PowerPoint. Python, R, SQL, and Bloomberg familiarity are advantageous but not required.

Administer, engineer, maintain, and improve enterprise cybersecurity platforms including SIEM, DLP, vulnerability management, endpoint, email, and web security. The role supports monitoring, detection, response, threat intelligence, log integration, platform upgrades, troubleshooting, patching, change management, reporting, and security projects. It collaborates with infrastructure, network, cloud, SOC, incident response, vendors, and business stakeholders while ensuring compliance with UK government security requirements.

Manage delegated investment solutions for institutional clients, providing investment advice, designing portfolio strategies, conducting risk analysis, and supporting portfolio construction. The role involves assessing contractual and regulatory requirements, developing Python-based investment tools, communicating complex analysis, implementing client solutions, and producing bespoke reporting. Candidates should understand asset classes, derivatives, liability-driven investment, UK defined benefit pension schemes, and institutional investment objectives.

Design, implement, maintain, and optimize Azure cloud infrastructure and production platforms. Build CI/CD pipelines, automate deployments with Infrastructure as Code, monitor and troubleshoot environments, support security and governance, and improve reliability, scalability, performance, and operational efficiency. Collaborate with engineering and delivery teams in Agile environments to deliver secure, highly available cloud solutions.

Develop engagement forecasting models and ad hoc analyses for Disney+ across EMEA. Responsibilities include data collection, algorithm development, time-series forecasting, experimentation, causal impact analysis, semantic modeling, agentic AI solutions, stakeholder consultation, and communicating insights to technical and non-technical audiences.

Develop and improve machine learning products for pricing, recommendations, and other business areas. Translate ambiguous business problems into practical models, experiments, and evaluations; collaborate with engineering, product, and analytics teams to deploy and monitor production models; investigate performance changes; and communicate insights to support evidence-based commercial decisions.

Designs and delivers enterprise integration solutions connecting Salesforce Agentforce with ERP, PLM, CRM, and other core systems for supply chain and manufacturing transformations. Responsibilities include API-led architecture, agentic data pipelines, production deployment, executive AI integration roadmaps, customer collaboration, and solving complex enterprise problems. The role requires hands-on coding, enterprise architecture expertise, generative AI knowledge, security awareness, and domestic client travel.

Designs, develops, maintains, and executes Java-based UI, API, integration, regression, and end-to-end automated tests using Selenium and RestAssured. The role supports shift-left quality engineering, CI/CD test execution, test data management, defect investigation, traceability, documentation, and Agile delivery. It collaborates with engineers, product managers, SMEs, and QA colleagues while contributing to non-functional, performance, security, and accessibility testing for regulated healthcare and genomics software.

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.

Organize daily and monthly OTC derivative valuation processes, investigate pricing challenges, perform quality controls, resolve data issues, and improve automation. The role also involves testing valuation systems, supporting product development, managing client relationships, presenting services, and resolving escalations. Candidates need quantitative knowledge, derivatives and financial-markets understanding, Excel and VBA skills, strong communication, attention to detail, and effective organization.

Lead end-to-end customer deployments of frontier AI models, from discovery and system design through production rollout. Build full-stack systems, contribute production code, guide customer adoption, manage delivery trade-offs, and create reusable tools and playbooks. Collaborate with customer engineering teams and internal Product, Research, Security, GRC, Partnerships, and GTM teams. Use field feedback and evaluations to improve products and model roadmaps.

Develop data-driven analytics solutions to identify and monitor compliance, conduct, and regulatory risks. The role involves consulting with stakeholders, analyzing large datasets using SQL and Python, designing dashboards and visualizations, automating processes, and translating advanced analytics into clear insights for risk-based decision-making. The analyst will also apply data management, engineering, data science, and decisioning knowledge within a financial services environment.