Top Python Jobs in London

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

The Software Engineer will develop AI-powered features for managing requirements in engineering, integrating language models, and maintaining infrastructure. Responsibilities include building workflows and collaborating with product teams to enhance system design processes.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Full-Stack Software Engineer, you will develop foundational systems, take ownership of projects, and improve the platform's performance and reliability in a collaborative environment.

The Senior Software Engineer will develop complex UIs for multi-modal data visualization, optimizing performance for 3D/4D scenes and collaborating across the stack and team.

As a Senior Product Engineer, you will build scalable back-end systems and user-friendly front-end interfaces, work with ML workflows, and lead product features from conception to completion while collaborating closely with customers and product teams.

As a Senior Software Engineer, you will enhance performance and reliability of Encord's platform, manage projects from architecture to deployment, and collaborate with teammates to solve complex problems in AI data management.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

Join a public-sector digital transformation as a Solutions Architect: define architectural roadmaps, produce C4/UML artefacts, ensure secure, scalable designs, evaluate technology options, mentor delivery teams, and represent architecture in governance and stakeholder forums.

As a Consultant in Management Consulting, you will conduct in-depth analysis, develop client-ready outputs, manage workstreams, and engage with healthcare clients to address complex challenges.

Build and operate production agentic AI systems and LLM-powered features. Implement RAG pipelines, extend shared AI infrastructure, monitor and debug production models, and collaborate with product and design to deliver secure, reliable AI capabilities in a regulated financial environment.

The role involves building a scalable integrated payment and checkout architecture using Python, ensuring smooth partner integrations, and enhancing onboarding automation.

Design, build, and operate production-grade agentic AI and LLM-powered features and RAG pipelines over sensitive financial data. Collaborate with product and design, contribute shared AI infrastructure (LLM services, orchestration, evaluation), and own reliability, security, auditability, and compliance in production.

Build and maintain production data pipelines and systems in Python; lead technical direction for the Insights platform; improve engineering standards, observability, and data quality; apply AI across products and pipelines; help develop AI-ready data foundations such as semantic layers.

Build and ship production-grade agentic AI systems and LLM-powered features. Architect RAG pipelines over sensitive financial data, contribute shared AI infrastructure, own production reliability and safety, and collaborate with product and design to deliver customer-focused outcomes in a regulated environment.

Own first-line governance for UK credit risk processes and controls, ensuring regulatory compliance (FCA CONC, Consumer Duty). Strengthen monitoring, manage operational risk events and remediation, update policies, prepare audit/regulatory documentation, and collaborate with Compliance, Legal, Data Governance and product teams to embed robust controls and drive good customer outcomes.

Lead and grow a high-velocity D&A software team to design, build, and deliver client-centric, scalable web applications. Drive architecture and technology choices, mentor engineers, run Agile ceremonies, perform code reviews, integrate data sources, ensure production deployments, and represent Software Solutions to internal and external stakeholders across EMEA.

Support and lead data-driven communications projects across EMEA and APAC, using NLP, statistical and ML methods to extract insights from multiple data sources, build pipelines, create visualisations and client-ready reports, and deploy AI-enabled solutions to inform reputation and communications strategy.

Lead incident response and digital forensics engagements: perform forensic imaging and analysis across Windows, Linux, macOS and mobile, assess client security posture against standards, develop investigative plans, document findings in incident reports, and support practice growth and methodology development.

Lead and deliver advanced data and AI-driven communications solutions: design and implement analytics/ML approaches, integrate multiple data sources, build pipelines and visual reporting, manage and mentor data scientists, translate technical results for senior clients, support business development and innovate tools to advance corporate communications insights.

Quantitative Researchers at Aquatic create and improve trading models using data and statistical methods, collaborating with engineers and leaders.

Lead one or more News Engineering squads to deliver low-latency, real-time content enrichment and delivery. Hire and develop engineers, ensure reliability, quality, and sustainable on-call practices. Guide design and implementation of content processing and NLP enrichment, promote CI/CD, observability, automated testing, and responsible use of AI-assisted tools. Partner with product and architecture to balance speed, quality, and long-term system health.