Top Python Jobs in London

Lead design and delivery of AI-ready infrastructure across on-prem, colocation and cloud. Define GPU compute architectures, ensure secure scalable GPU platforms for training, fine-tuning and inference, and manage distributed architecture and engineering teams during hybrid cloud transformations.

Design, build, migrate, operate and govern hybrid cloud and on-prem infrastructure. Architect and deliver cloud transformations, implement virtualization, container platforms, automation, and resilience strategies.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

Act as the first point of contact for customer support inquiries, resolving common issues related to APIs and onboarding. Escalate complex problems, document recurring questions, and assist in community management.

The Machine Learning Researcher will build deep learning models for trading strategies, collaborating with a team to optimize systems and approaches to tackle market challenges.

Design and build reliable systems, manage technical projects, write high-quality Python code, and collaborate with researchers to deliver functional software solutions.

The Reserving Actuary will lead quarterly reserve analysis, manage projects, and mentor junior team members, focusing on actuarial reporting and model improvements.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

As an Engineering Manager, lead a data engineering team to enhance Yuno's data platform, ensuring reliable processing of payment events, guiding technical decisions and cultivating a strong team culture.

The Solution Architect will design scalable and secure solutions, manage stakeholders, and lead technical teams while ensuring alignment with client needs and governance standards.

The Lead Architect, Cloud will design and implement Azure data platforms, establish CI/CD processes, and mentor engineering teams, ensuring effective architecture and technical delivery across projects.

As the Head of Machine Learning Engineering, you will define the ML strategy, lead teams, deliver scalable solutions, and shape AI governance for enhanced customer travel experiences.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

Design and deliver product experiences for legal teams, build features, influence architecture, and foster collaborative practices.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

As an AI Strategist, you'll lead customer engagements, guide teams to address client challenges, ensure user adoption, and influence product development.

The AI Engineer designs and deploys production-grade AI systems using LLMs, collaborates with clients to understand complex problems, and improves AI application workflows and architectures.

Operate and support EG's systems infrastructure: day-to-day Linux server administration, end-user systems support, scripting/automation, and public cloud (AWS) management. Contribute to design, implementation, and projects using configuration management, infrastructure-as-code, and containerized workloads, with opportunities to lead larger infrastructure projects over time.

The Senior Software Engineer II will architect, build, and deliver new features, collaborate with teams, mentor engineers, and improve developer tooling while leading deployment processes.

Lead technical customer success for the Cyera data security platform: drive onboarding, adoption, and expansion; design custom use cases; troubleshoot issues; run executive and technical workshops; monitor customer health; mentor team members and influence product roadmap.

The Software Engineering Intern will assist in developing agent infrastructure, integrate AI capabilities, and contribute to customer interfaces, supported by experienced engineers.

Design, develop, and maintain scalable Python backend systems and APIs. Lead end-to-end development, optimize performance, participate in architecture decisions, conduct code reviews, resolve production issues, and mentor junior engineers.

Lead a 12-month project to consolidate multiple data sources, identify root causes of order damages, and build statistical and machine-learning models. Deliver actionable insights, visualisations and reports to influence stakeholders, implement corrective actions, and mentor other data scientists.

Design and build scalable Python backends and APIs, integrate and deploy LLM-powered applications (chatbots, summarization, semantic search), optimize model performance and costs, develop data pipelines for training and inference, ensure code quality and CI/CD, collaborate cross-functionally, and mentor junior engineers.

Build and automate GTM systems to acquire and retain customers: own CRM, design GTM data model, create pipelines, deploy AI agents, build integrations and enrichment workflows, and iterate on outbound/inbound playbooks to generate qualified pipeline.