Top Python Jobs in London

Drive the end-to-end lifecycle of neurosymbolic AI projects, design language generation systems, and collaborate on innovative machine learning solutions.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Design, build and maintain full-stack features across mobile, web and serverless backends. Mentor engineers, take technical ownership of projects, collaborate with product and design, support apps through their lifecycle, and work directly with external clients to deliver solutions.

Support Strategic Market Making by building Python-based quant libraries, performing trade-level statistical forensics, optimizing Perpetual DEX participation, automating L1/L2 order book workflows, and monitoring market microstructure and portfolio exposures.

Design, implement, and operate scalable systems and services across the full software lifecycle. Build proofs-of-concept, improve automation, maintain reliability and monitoring, participate in on-call duties, and collaborate with cross-functional teams to deliver high-quality software.

As an IT Operations Specialist, you will provide IT support, troubleshoot hardware and software issues, assist with onboarding, and enhance the office's AV and networking setup while ensuring smooth operations.

Architect and deliver scalable AI solutions for enterprise document workflows. Own end-to-end feature delivery, collaborate with product and customers, build extraction and automation systems, implement security and privacy by design, mentor engineers, and drive adoption of generative AI capabilities.

Lead end-to-end development of core product areas: discover, design, build, deploy, and drive customer adoption. Ship scalable APIs, backend services, streaming/event-driven systems, and polished frontends. Work closely with product, design, and commercial teams, talk to customers, mentor engineers, champion best practices (testing, observability, CI/CD, IaC), and apply AI coding tools to accelerate delivery and shape product direction.

As a Robotics Researcher, you will develop state-of-the-art models for robotics, focusing on 3D scene representations, world models, and integration of ML with robotic systems, ensuring real-world reliability and performance.

The Engineering Manager will build high-performing teams, develop engineers, drive engineering excellence, and ensure timely delivery of customer-centric features.

Lead planning and execution of customer deployments, engage users to map workflows and pain points, prioritise high-value problems, design iterative delivery plans, bridge users with product and engineering, and lead technical delivery across interconnected workstreams to ensure safe, effective operational impact.

Lead analytics for media measurement and campaign analysis, manage a small team, design experiments (brand and conversion lift), deliver actionable insights to clients, coordinate vendors and data engineering, and drive global rollout of measurement solutions.

Lead the Non-Air Redemption Data Team to design, build and maintain scalable data products and pipelines. Provide technical leadership, ensure data quality and governance, collaborate with stakeholders, adopt modern tooling, and support delivery of the Redemption Data Product.

Support senior architects to design and document scalable, secure data architectures. Translate business requirements into data models, define data flows and integration patterns, support Agile delivery teams, ensure governance and security considerations, and contribute to data engineering and automation while developing architectural skills.

Lead QA for an AI-first product: design testing infrastructure, build and maintain test suites/pipelines, collaborate with product, engineering and legal users, define quality metrics, runbooks and monitoring to prevent regressions.

Design, develop, and maintain shared microservices and core platform infrastructure. Own full service lifecycle including architecture, implementation, deployment, monitoring, and operational support. Collaborate with product and engineering teams, ensure security, performance, and reliability, and mentor colleagues while driving engineering best practices and continuous improvement.

Partner with Payments leadership to manage P&L and balance sheet, build business cases, analyse product and market performance, drive commercial projects, forecast and report results, design processes, and mentor financial analysts to support strategic financial decision-making.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

Lead Property Risk analytics: maintain and back-test risk metrics, analyse mortgage and survey data, deliver bespoke lender analysis, ensure product robustness and explainability, collaborate with engineering, product, and data science, and support client engagement and go-to-market activity.

Designs and delivers hybrid infrastructure solutions (compute, storage, HCI, virtualization, backup/DR). Produces HLD/LLD, implements migrations, documents projects, liaises with stakeholders, travels UK-wide, and supports pre/post-sales and PMO activities.

As a Staff Software Engineer at Docker, you'll build and improve containerized AI agents, mentor engineers, and collaborate on open-source projects, expanding Docker's capabilities in AI.

As a Senior Data Science Analyst, you'll wrangle, analyze datasets for investment strategies, leveraging data science expertise and collaborating with investment teams.

The Senior Network Engineer will manage and enhance high-performance network infrastructures, leveraging automation tools and software-driven methodologies to support investment teams effectively.

The Senior Cat Analyst supports exposure management and reporting across diverse insurance lines. Responsibilities include producing regulatory returns, developing reporting tools, analyzing catastrophe events, and enhancing exposure management capabilities.

The role involves driving exposure management compliance, enhancing reporting and analytics, managing catastrophe risk, and collaborating with underwriters and central functions.