Top Python Jobs in London

Build, test, and document secure batch and real-time data pipelines for a government client; design logical and physical databases; extend platform capabilities; ensure data models align with architecture; perform data analysis and root-cause investigations to improve processing and availability for downstream consumers.

Develop RTL for digital blocks, perform lint/CDC analysis and DFT support, assist in writing functional tests and simple UVM components, collaborate on verification and coverage closure, support AMS co-simulation and mixed-signal integration, and work with physical design on synthesis and timing.

Embed with product engineering squads to own production reliability for Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope). Design and implement SLOs, automation, and fault-tolerant patterns; lead incident response and post-incident reviews; improve observability, alerting, and scalability for high-SLA multi-tenant environments; mentor engineers and influence product design for operability.

As an Operations Manager (Product), collaborate with teams to define operational strategies, analyze metrics for inefficiencies, translate insights into plans, and oversee cross-functional projects to enhance product success.

The Software Engineer (Python) role involves developing and maintaining an AI platform, building scalable APIs, and collaborating with cross-functional teams to enhance AI workflows for financial firms.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design, build, and operate low-latency, mission-critical trading systems in Rust. Own trading stack components end-to-end, collaborate with quants and traders, troubleshoot production issues, improve performance, reliability, observability, and drive engineering standards and automation including AI-assisted workflows.

As a Software Engineer in the AI Platform team, you'll architect infrastructure for AI, maintain deployment and MLOps tools, and support diverse client environments.

Build and operate backend services for a high-volume crypto trading platform, including order management, market data processing, REST APIs and WebSocket streams. Collaborate with product, frontend, and trading teams to ensure low-latency, scalable, and highly available systems.

You will architect resilient infrastructure, improve production reliability, write production code, enhance developer experience, and establish operational standards as the first platform engineer.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

Build and maintain full‑stack, data‑focused web products using Django and lightweight frontend tech. Own features end‑to‑end, integrate analytics/AI services, design APIs, optimise performance and security, and collaborate with data and platform teams to deliver production-ready, observable, and maintainable user experiences.

Own customer projects to integrate, deploy, and validate SPAICE spatial AI on drones, satellites, and robotic platforms. Tasks include software and systems engineering, Linux and embedded configuration, networking and hardware integration, field testing, debugging across software/hardware, and direct collaboration with defence and aerospace customers.

The Senior Software Engineer will design and maintain scalable systems, improve system performance, mentor engineers, and support on-call responsibilities.

Lead and deliver end-to-end marketing analytics and MMM projects for global clients. Translate econometric and MMM insights into actionable business recommendations, manage client relationships, and lead teams (3–8 consultants). Support project planning, design, and implementation while communicating results to technical and non-technical stakeholders.

Deliver end-to-end data integration, migration, and development work on Azure. Design, build, test, and deploy ETL/ELT pipelines, perform data mapping/transformation/reconciliation, maintain application and integration code, support IaC and environment management, troubleshoot data quality and performance issues, and liaise with clients and senior team members on planning and delivery.

Lead end-to-end Marketing Mix Modeling (MMM) and marketing effectiveness projects, applying econometrics, Bayesian and machine learning methods. Manage small teams, build dashboards, translate analytics into C-suite recommendations, optimize marketing spend and campaign ROI, run client workshops, mentor junior staff, and support business growth and thought leadership activities.

The Product Manager will enhance the Ipsos iris reporting interface, manage collaboration with teams, gather requirements, execute testing, and maintain documentation within an Agile framework while utilizing audience measurement tools.

The AI Engineer will focus on the lifecycle of production-grade AI, managing model training, fine-tuning, inference optimization, and production engineering, while collaborating with stakeholders to implement business requirements.

Maintain and develop exposure-based pricing models for Travelers Europe; implement algorithms in the Hyperexponential production system; run batch rating and base-rate calibration processes in Python; prepare data for actuarial rating validation; liaise with underwriters; expand pricing datasets and support pricing team tasks including case pricing, business planning, and reinsurance purchase.

Interns will work on AI, code understanding, and data analytics, focusing on distributed systems and AI agents while collaborating with experienced engineers.

The Senior Credit Analyst will optimize credit decisioning, define credit strategies, analyze data using Python and SQL, and collaborate cross-functionally to enhance portfolio performance.

Lead month-, quarter-, and year-end close; prepare complex GL entries; perform balance sheet reconciliations; manage intercompany and multi-currency accounting; support consolidated statutory financial statements, external audit, SOX compliance, and optimise ERP/GL processes.

As a Credit Risk Manager, you'll lead analysts to optimize credit strategies, analyze data for decision-making, and improve portfolio performance in consumer finance products.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.