Top Python Jobs in London

Build fault-tolerant, reliable cloud backend services for a hyperscaling AI platform, including compute, storage, networking, managed Kubernetes, databases, billing, monitoring and ML services.

Deliver technical implementations of the Watershed platform: build integrations and data pipelines, perform analysis and reporting, consult on best practices, provide client-facing technical support and training, automate deployments with CI/CD, and occasionally contribute to core product updates.

Lead full‑stack product delivery for B2B features with backend emphasis: design APIs, own architecture, ship production systems, ensure testing/observability, and partner with product and platform teams to support demos, trials, and customer onboarding.

Lead a small team to establish a Quality Center of Excellence, coach ~700 engineers on test pyramid and automation best practices, aggregate portfolio quality metrics, prioritize risk-based engagements, drive DORA improvements, and evaluate AI-powered testing tools to improve test reliability and feedback velocity.

Work with quantitative researchers and portfolio managers to build, maintain and productionise quantitative trading frameworks and strategies, develop tooling and ML pipelines, improve engineering standards, and deliver robust production solutions for systematic trading.

Build and own cloud infrastructure and GPU compute environments for ML model training and deployment. Implement IaC, CI/CD, orchestration, containerisation, monitoring, security, and internal tooling to enable reproducible, scalable research-to-production ML workflows.

Implement and scale cutting-edge ML research into production-ready systems: build distributed training and inference on GPU clusters, optimize model performance, create evaluation and experiment-tracking tooling, architect multimodal scientific data pipelines, and collaborate with researchers and materials scientists to deploy models in closed-loop hardware environments.

Lead ML research for an AI-driven materials discovery platform: design and prototype architectures (GNNs, generative, foundation models), develop active learning/optimization strategies, address representation learning for sparse noisy experimental data, collaborate with materials scientists to encode physics into models, and drive proofs-of-concept to production with engineering partners.

Support growth of non-ferrous metals trading by building and owning fundamental supply/demand models (initial focus on Copper, expanding to Aluminium). Produce forecasts, price outlooks, and market intelligence; maintain proprietary databases; use Python, SQL and analytical/AI tools; present insights to traders and senior management; collaborate with Trading, Risk and Operations.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead front-end technical strategy across multiple teams for a complex, data-dense merchant platform. Own architecture, component systems, state management, performance, accessibility, and front-end observability. Mentor engineers, drive cross-team alignment, and partner with Product, Design, and backend engineers to deliver a cohesive merchant experience including the Primer AI Companion.

The Test Engineer will design and implement automated tests for data pipelines and cloud platforms, focusing on ETL testing and data validation.

Lead and grow a test and DevOps engineering team for a regulated medical device software stack. Own CI/CD, Yocto-based embedded Linux builds, signed update mechanisms, cloud data pipelines, test automation, compliance-as-code to IEC 62304/ISO 14971, and coordinate cybersecurity and release processes while contributing hands-on to architecture and code.

Design and deliver secure, cloud-native, production-grade services. Write high-quality code while shaping architecture and technical strategy. Champion CI/CD and DevSecOps, mentor teammates, and work directly with customers to solve complex, regulated problems. Must work onsite four days per week and hold active SC clearance with DV eligibility.

Lead portfolio management for the London Market by partnering with underwriting leadership, delivering data-led pricing and portfolio insights, developing and calibrating pricing models, building analytics and dashboards, and driving performance governance and business planning.

The Engineering Manager will manage a team of software engineers, focusing on coaching, performance management, and fostering innovation while also contributing technically as a senior engineer.

Design, build and deploy autonomous robotic systems for real-world environments. Develop planning, perception and control systems, train and deploy ML models, integrate sensors/actuators, and drive long-term robotics strategy.

The Analytics Engineer will manage analytics engineering relationships, develop data models and tools, and apply software engineering practices to optimize data-driven decisions.

As a Software Engineer Consultant, you will design, develop, and maintain secure software systems for public safety, working closely with clients and multidisciplinary teams.

The role involves designing pricing models for options, developing execution algorithms, and enhancing risk analytics within a high-frequency trading environment.

Lead the recruiting process for Quantitative Engineers, develop strategies to meet hiring goals, and ensure a positive candidate experience while partnering with hiring managers.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

The role involves developing analytics infrastructure in Python, conducting quantitative research, analyzing trading strategies, and supporting portfolio management and business development initiatives.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.