Top Python Jobs in London

Designs and leads application and cloud architectures for highly scalable financial services systems. Responsibilities include AWS infrastructure design, cloud cost optimization, CI/CD support, quality and security requirements, API and data modeling, production issue resolution, proof-of-concept development, governance, and technical leadership. The role partners with architects, engineers, product owners, business analysts, infrastructure teams, and senior leadership while establishing architectural standards and mentoring technical staff.

Build and improve AWS cloud platforms using infrastructure as code, automation, shared tooling, and self-service capabilities. Partner with software engineers to improve developer experience, reliability, scalability, security, and efficiency. Monitor platform performance using SRE practices, define operational standards, support incident resolution, document best practices, and participate in periodic on-call rotations.

Leads the technical direction of data engineering, owning scalable pipelines, warehouse architecture, data models, ELT transformations, quality monitoring, and platform reliability. Defines engineering standards, reviews designs and code, drives CI/CD and observability, resolves complex technical issues, and mentors engineers. Collaborates with analytics, reporting, data science, and platform teams to translate requirements into performant, cost-effective solutions while contributing to warehouse modernization and technical planning.

Build deployment and release tooling, test infrastructure, data pipelines, visualizations, dashboards, CLIs, and configuration tools for embedded flight computers and autonomy systems. Develop software for Linux-based edge-AI hardware, replay flight data, process sensor logs, support HIL/SIL testing, and collaborate with autonomy and perception engineers on real missions.

Lead and grow a team of ML engineers to build and operate production ML and LLM systems—real-time inference APIs, batch data products, and agentic AI—ensuring deployment, monitoring, CI/CD, reproducibility, and measurable business impact.

Build and scale Thought Machine’s cloud-agnostic infrastructure platform for global banking software. Responsibilities include developing orchestration and automation tools, designing resilient architectures and disaster recovery systems, improving observability, and optimizing databases and event-streaming platforms. The role requires production infrastructure engineering with Python or Golang, Kubernetes and Docker expertise, and experience extending tools such as Prometheus, OpenTelemetry, and Grafana.

Develop and maintain a Python-based SaaS platform for project, data, and annotation management. Collaborate with data and platform engineers to build efficient data-handling processes and work with stakeholders to define and validate software features. The role supports machine learning and data science teams developing connected surgical technology, using production software engineering, cloud infrastructure, DevOps practices, and iterative development methods.

Lead Multiverse’s enterprise IT function across daily service delivery and strategic systems implementation. Own IT strategy, budget, roadmap, vendors, team structure, automation, identity and endpoint platforms, incident management, and IPO-readiness controls. Improve service quality, documentation, change management, auditability, and employee experience while using AI and automation to scale a lean in-house IT team. Present IT performance, risk, and roadmap to executives, auditors, and the board.

Build and improve production AI systems, including chatbots, autonomous account actions, document extraction pipelines, and LLM-driven case-management workflows. The role covers discovery, prototyping, deployment, evaluation, monitoring, prompt design, retrieval, agent workflows, and identifying manual processes suitable for automation.

Build and deploy LLM-based features and agentic workflows for procurement applications. Develop multi-agent frameworks, benchmark models for performance and safety, and create tooling that integrates AI with customer ERP systems. The role involves end-to-end Python development, productionizing AI solutions, collaborating with customers and internal teams, and translating complex technical capabilities into practical solutions.

Analyze LNG market data and develop forward-looking forecasts for supply, demand, trade flows, and prices. Maintain fundamental market models, improve research tools and analytical outputs, ensure data quality, and monitor LNG trade flows. Communicate insights through reports, charts, tables, and client meetings while responding to questions about market analytics and quantitative models.

Acts as the bridge between analytics users, product teams, technology teams, and governance. The role gathers requirements, supports user enablement, maintains platform guidance, assesses upgrades, implements platform capabilities, ensures compliant use, monitors costs, and develops backup and recovery plans. Requires hands-on SQL and Python experience in analytics environments, stakeholder management, and familiarity with GCP-based platforms and data technologies.

The GTM Engineer will architect and maintain the revenue technology ecosystem, focusing on Marketo, Salesforce, marketing automation, lead routing, attribution, data pipelines, APIs, and webhooks. The role includes developing Python and JavaScript automation, integrating LLMs for lead enrichment and personalization, extracting AI insights from conversational data, troubleshooting systems, and supporting revenue teams. The engineer will collaborate with Marketing, Revenue Systems, Data Engineering, Go-To-Market teams, and executives to translate commercial objectives into scalable technical solutions.

Build and ship customer-facing AI products and software systems from day one. Responsibilities include developing full-stack applications, data pipelines, evaluation infrastructure, agentic AI tooling, fraud detection, matching algorithms, contributor tools, AI infrastructure, and customer service applications. Engineers work directly with customers, iterate quickly, and deliver reliable products capable of operating at large scale.

Build and ship production software for AI systems, including data pipelines, evaluation infrastructure, agentic applications, fraud detection, matching algorithms, and AI tooling. Interns work on full-stack product engineering, large-scale data systems, and customer-focused iteration while receiving mentorship. The role requires prior software engineering internship experience, shipped products, and familiarity with Python, TypeScript, React, and/or MongoDB.

Build and ship full-stack product features across Python, TypeScript, cloud infrastructure, event-driven systems, AI voice-agent workflows, and third-party integrations. Own customer problems from discovery through implementation, guide architecture and engineering standards, and balance rapid MVP delivery with scalable, reliable foundations. The role also involves technical leadership, customer-facing solution scoping, and production development within an early-stage startup.

Develop and maintain production C++ software for unmanned systems, including flight and mission control, autonomy, pilot interfaces, connectivity, simulation, and testing. Debug real-world system behavior, improve reliability, support integration and deployment, write documentation and tests, and contribute to platform architecture. The role requires strong modern C++, Linux experience, and understanding of software design and complex systems, with robotics or autonomous-systems exposure preferred.

Supports noise and vibration consultancy projects through site surveys, technical calculations, assessments, monitoring, mitigation advice, and report preparation. The role covers planning, construction, environmental impact, building acoustics, and infrastructure projects across rail, residential, data centre, and energy sectors. It also involves preparing proposals, communicating with clients and project teams, and coordinating personal workloads while developing consultancy expertise.

Supports fund operations for managed futures and quantitative funds by reviewing trading and cash reconciliations, performance estimates, corporate actions, reports, service providers, NAV calculations, cash management, settlements, and risk reporting. The role collaborates with investment managers, prime brokers, administrators, and internal teams to resolve discrepancies and ensure compliance with fund policies.

Manage Xtrackers ETP primary and secondary market processes to improve efficiency and liquidity. Monitor spreads, volumes, market depth, and market-maker performance. Build relationships with market participants, support product launches and listings, produce market intelligence and analytics using high-frequency data, and ensure data quality and robust risk controls across capital markets operations.

Leads complex software engineering initiatives and provides technical guidance while designing, implementing, and managing AWS cloud infrastructure. Develops CI/CD pipelines, supports containerized platforms, monitors system reliability, troubleshoots issues, and applies DevOps best practices. Collaborates with cross-functional teams to define infrastructure needs, improve processes, and deliver secure, high-performing technology solutions.

Design, develop, deploy, audit, test, and optimize smart contracts and decentralized applications across Ethereum, Hedera, Algorand, and MACH Chain. Build blockchain solutions for financial services clients, contribute to protocol improvements, integrate blockchain components with APIs and platform services, and collaborate with technical and business stakeholders. Provide guidance to junior team members while supporting secure, scalable delivery and improving development processes and tooling.

Manage Xtrackers ETP primary and secondary market processes, optimise creation/redemption mechanics, monitor liquidity and market maker performance, and support product launches and listings. Build relationships with market participants, produce trading analytics and market intelligence, ensure data quality, and drive process improvements across stakeholders. Use high-frequency market data and analytical tools to support capital markets initiatives.

Design, develop, deploy, and monitor machine learning and AI models, including predictive models, NLP, computer vision, and generative AI solutions. Analyze and transform large datasets, build scalable data pipelines, automate ML workflows, evaluate model performance, and integrate models into production. Collaborate with technical and business stakeholders to deliver actionable insights and continuously improve AI products.

Lead pre-sales technical discussions, demos, and POCs while owning post-sale success and growth for European enterprise accounts. Drive adoption, renewals, and expansions, collaborate cross-functionally, and translate technical capabilities into business value for security and engineering teams.