Top Python Jobs in London

Design, build, and deploy end-to-end ML and generative AI solutions (ranking, recommender, chatbots, agentic systems). Handle data engineering, feature engineering, modeling, evaluation, deployment, monitoring, and cross-functional communication to deliver business impact.

The Solutions Engineer at Netskope will work closely with customers to provide technical solutions, manage presentations, and lead customer engagement efforts, while focusing on sales targets and customer satisfaction.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

Lead development of a sophisticated editor interface, focusing on performance-critical rendering for multimodal AI datasets while collaborating with a high-performing team.

As the first full-time engineer, you'll transform a prototype into a SaaS by developing backends, designing user interfaces, and implementing security standards.

As a Product Engineer, you will build web applications for the legal tech sector, focusing on AI-driven automation and user experience, collaborating with founders and lawyers to enhance legal workflows.

As a Founding Product Engineer, you'll build AI-powered software for aircraft maintenance, handling full-stack development, API integrations, and production-ready features.

As Data Engineering Lead, you will own the technical direction of a data platform for the debt capital market, leading ingestion, orchestration, and API development. You will mentor engineers and establish operational standards to improve product delivery.

As a Founding Forward Deployed Engineer, you will design Python data pipelines, integrate AI with banking systems, and lead technical architecture sessions.

This role involves conducting risk and capital analysis for Lloyd's syndicates, focusing on regulatory and economic capital requirements, model development, and stakeholder communication.

As a Senior Research Engineer, you will develop generative video technology, optimizing models and building ML pipelines while collaborating with cross-functional teams.

The Senior Data Analyst will analyze data, run A/B tests, and provide insights to improve product decisions and user experiences.

Design, build, and maintain cloud infrastructure, services, and APIs; integrate backend systems with an embedded platform; write automated tests, debug issues, and apply secure distributed systems practices to ensure scalable, reliable operation.

Develop and maintain security-focused cloud services and infrastructure, design APIs and backend systems, integrate with embedded platforms, fix bugs, write automated tests, and apply cloud and secure software best practices to ensure scalable, reliable, and secure operation.

The Helix Software Engineer will manage the ISAM Helix Trading System, improve trade execution, onboard new brokers, and enhance system architecture while supporting production.

You will lead the development of internal applications for material discovery, ensuring they are high-quality products through collaboration and iterative design.

The role involves designing, implementing, and running experiments to study AI's societal effects, focusing on high-impact risks from frontier AI deployment.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

The Senior Portfolio Intelligence Analyst manages portfolio performance and risk, develops reporting tools, provides insights for credit decisions, and collaborates across teams to align objectives with risk appetite.

As a Senior Credit Risk Data Scientist, you'll lead credit risk modeling, develop data-driven lending strategies, and ensure statistical rigor in model performance while writing production-grade code for underwriting systems.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

Lead and transform software and data engineering at Capital Group, inspiring a large team to drive strategic growth and innovation across various sectors.

The Senior Catastrophe Analyst will support catastrophe analytics, enhance underwriting decisions, and collaborate on risk management practices across various business lines.

The Engineering Manager will lead and develop engineering teams, ensuring quality delivery and technical execution while collaborating closely with various teams and managing people effectively.

The AI Deployment Strategist will drive the adoption of Mistral's AI solutions in cybersecurity, collaborating with executives, designing AI roadmaps, and ensuring successful deployment and customer success in securing digital assets.