Top Python Jobs in London

Own a $6M+ enterprise portfolio across DACH, Nordics, and Benelux. Drive adoption, retention, and expansion by building senior relationships, using product usage and health scores, documenting success plans, coordinating with Sales/Product/Engineering, mentoring junior CSMs, and leveraging AI-assisted tools for account research and engagement.

Deliver and check hydraulic and water‑quality models (Flood Modeller, TUFLOW, MIKE, HEC‑RAS, ICM, SIMCAT) for flood alleviation, risk assessments and reservoir studies; scope modelling approaches; perform hydrological assessments (FEH, ReFH2, WINFAP); lead tenders; mentor staff; manage client relationships and project delivery across fluvial, coastal, surface water and drainage projects.

Lead hydraulic and water-quality modelling projects using industry software, scope modelling approaches, perform hydrological assessments, tender support, mentor junior staff, liaise with clients and deliver flood risk management and reservoir flood studies to programme and budget.

Lead technical delivery of flood risk and water quality modelling projects. Develop and check hydraulic and water-quality models, undertake hydrological assessments, scope modelling approaches, lead tenders, mentor junior staff, and liaise with clients and multidisciplinary teams to deliver fluvial, coastal, surface water and drainage flood risk management solutions.

Design, develop, and deploy scalable SaaS applications while implementing DevOps practices, ensuring high performance, and collaborating with the product team to enhance user experience.

As a Sector Analyst for European Equities, you will analyze alternative data, produce research, and support investment professionals in their decision-making processes.

Lead delivery of temporary and permanent works for high‑profile construction projects. Develop design philosophy, produce and check detailed designs, coordinate clients and subcontractors, support site teams, mentor juniors, and ensure compliance with quality, health & safety and company procedures.

Define system requirements and architectures, integrate and deploy autonomy and perception software onto vehicles, lead systems engineering artifacts, perform hands-on field testing and validation, enable inter-vehicle communications, use simulation for validation, and collaborate across software, perception, and field teams to ensure robust, safe deployments.

Deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products with defense and government customers. Perform software engineering, OS configuration, system deployment, and hardware integration. Design scalable engagement and architecture patterns, collaborate with product and engineering teams, and drive technical outcomes in challenging operational environments.

Lead design, development, and verification of autonomy solutions for defense: write perception and planning algorithms, prototype and deploy ML models, optimize performance, build system architectures, collaborate cross-functionally, mentor junior engineers, and test/debug with attention to documentation and emerging AI techniques.

Design and implement single- and multi-target detection, tracking, and decentralised multi-agent sensor-fusion and state-estimation algorithms for unmanned autonomous systems; productionize algorithms into robust deployable software and collaborate with cross-functional teams.

Build, deploy, monitor and recalibrate credit risk machine learning models; perform data extraction, wrangling and feature engineering; detect data/model drift; improve decision explainability; optimise data pipelines and partner with product, engineering and operations to implement lending, acquisition and affordability strategies.

Lead data science initiatives to enhance player engagement and business outcomes through machine learning solutions, collaboration, and technical leadership.

This role involves end-to-end ownership of product delivery, focusing on backend systems, LLM integration, and cross-functional collaboration in a full-stack capacity.

Lead frontend or full‑stack development for ONDA's web and mobile apps. Own architecture and delivery, iterate features via A/B testing, collaborate with product and leadership, debug across the stack, and help build the engineering team and roadmap.

12-month graduate accelerator that trains early-career candidates in technical presales across collaboration, security, networking, and cloud. Participants complete immersive bootcamp, three rotations, earn certifications, use AI-enabled learning, and transition into Solutions Engineer roles in Global Virtual Engineering.

Lead end-to-end delivery of QVAC-powered AI implementations, acting as primary client contact. Translate business needs into deployment strategies, define roadmaps, coordinate product/engineering/legal stakeholders, manage risks and governance, and drive implementations from kickoff to production while producing executive reports and reusable documentation.

Lead and scale a Forward Deployed Engineering team embedded with strategic enterprise customers. Own technical discovery-to-close, ensure delivery quality, coach FDEs, manage stakeholder relationships up to C-suite, build repeatable playbooks, and train partner GSIs to extend the motion at scale.

Embed with customer engineering teams to discover bottlenecks, design and ship production-grade AI-native Cursor workflows end-to-end, ensure production reliability, monitor and debug model behavior, and generalize solutions back into the core product.

Hands-on cloud engineer responsible for designing, implementing, and supporting Azure and Oracle Cloud (with AWS onboarding) IaaS/PaaS solutions, driving automation, producing architectures, and collaborating with app/infrastructure teams to ensure secure, scalable, and cost-efficient cloud platforms.

Perform credit risk analysis and implement acquisition and portfolio strategies for UK consumer and small business card portfolios. Track and explain acquisition and portfolio metrics, evaluate new data sources, generate insights, and collaborate with Central Risk, Operations, Product, Acquisitions, and Compliance to deliver profitable risk strategies and better customer outcomes.

Analyze UK consumer and small business card credit risk, develop and implement credit risk strategies, evaluate new data sources, track portfolio performance, and partner with product, acquisitions, operations, compliance, and analytics teams to drive profitable outcomes.

The Associate Director will lead the Analytics team, focusing on media measurement, campaign analysis, and client communication to improve campaign performance for major brands.

Lead the development of the FTSE Russell Index Platform by designing and integrating Java and Python applications with AI capabilities. Guide engineering best practices and mentor junior team members in delivering high-quality, scalable solutions.

Design, train, and deploy state-of-the-art, highly efficient computer vision and multimodal LLM models for low-power edge devices. Improve training algorithms, data pipelines, model architectures, and deployment tooling to ship AI features to millions of cameras. Prototype demos and optimize cloud and on-device inference.