Top Python Jobs in London

Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.

Lead integration of AI-driven tools into tax provision, planning, and multi-jurisdictional compliance. Design ML/analytics solutions for sales and payroll tax, enhance regulatory filings, support audits, and collaborate with finance, legal, and technology teams. Monitor tax regulation changes, document AI tax models for transparency and governance, and continuously refine models for scalability, reliability, and compliance.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Senior Product & Growth Data Scientist will analyze user behavior, run experiments, shape product strategy, and influence growth metrics to drive company success.

Act as the technical owner for a portfolio of strategic voice-AI and real-time engineering customers: drive architecture reviews, deepen product adoption, coordinate LiveKit teams, lead executive reviews and on-site launches, surface product feedback, and define TAM playbooks to ensure long-term customer success and expansion signal.

As a Senior Enterprise Systems Engineer, you will lead projects, improve systems, support SaaS tools, and advocate for automation to enhance employee productivity.

Provide expert, client-facing support for institutional clients using Valitana's Vantage platform. Analyze fixed income and structured finance metrics, assist with compliance and data uploads, build custom workflows and Excel solutions, and deliver white‑glove service to maximize platform value. Occasional travel (≈10%) for conferences and events.

Design and ship production agents and reusable skills on ClickStack. Own the agent stack (context engineering, tools, MCP servers), integrate with ClickHouse telemetry, build SDKs and observability, optimize latency/cost, run evals, and collaborate with open-source contributors and customers.

As a Data Scientist, you'll empower the company with data insights, develop metrics and experiments, and collaborate with various teams to drive product decisions.

Lead the architecture of Tide's agentic platform, ensuring reliable, scalable services. Collaborate across teams to design APIs and integration standards, focusing on developer experience and analytics.

The Staff Software Engineer will develop backend services for Tide's AI platform, integrate components, ensure reliability, and shape AI engineering patterns.

The Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

The Technical Product Manager will drive the development of SDKs, APIs, and tools for Gensyn, ensuring seamless decentralized training for ML developers.

Own long-term technical relationships for strategic accounts, drive architecture reviews and adoption, coordinate LiveKit teams for implementations and escalations, lead executive reviews, identify expansion signals, and build TAM playbooks for customer success.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Lead design and delivery of scalable analytics, BI, forecasting, and AI-driven solutions for RevOps Sales Intelligence. Partner cross-functionally to improve data quality, governance, automation, and self-service analytics using cloud data platforms and modern ML/Generative AI techniques. Manage roadmap, stakeholder communication, and operationalize AI/analytics at enterprise scale.

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.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

The Senior Staff Android Engineer will own and evolve the Android platform, lead system design, and mentor engineers to improve mobile architecture and workflows at AlphaSense.

As a Staff iOS Engineer, you'll define architecture, enhance the iOS platform, and mentor engineers, focusing on reliability and AI-driven mobile engineering practices.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

The Senior Software Developer will create and enhance AI prototypes, ensure technical standards, support backend service integrations, and collaborate with multidisciplinary teams.

As a Technical Lead, you'll oversee technical projects, mentor engineers, ensure high-quality solutions, and influence strategic decisions in a collaborative environment.