Top Python Jobs in London

Define and operationalise scalable platform services and delivery-readiness frameworks. Lead a Platform Services Engineer, collaborate with Product Engineering to translate product capabilities into repeatable service offerings, manage documentation/version control, drive automation and continuous improvement (AI-first mindset), and establish service standards, SLAs, and enablement for global deployment.

Design, build, and maintain production AI workflows integrating HR, Finance, Operations, and CRM. Implement orchestration, agents, prompts, retrieval pipelines, and evaluation/monitoring to ensure reliable, auditable decision-making. Iterate on model behaviour using feedback and metrics, partner with Data Engineering on infrastructure, CI/CD, and governance, and own decision quality and outcomes.

Lead design and implementation of CI/CD pipelines, infrastructure automation (Ansible/Terraform), and containerised platforms (Docker/Kubernetes/EKS/AKS) on AWS. Monitor and optimize systems (DataDog), ensure security/compliance, troubleshoot environments, mentor engineers, and drive POCs for AI-assisted automation integrated into CI/CD, code validation, and incident resolution.

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.

Lead valuation and modeling of complex derivatives and illiquid instruments using Monte Carlo, binomial trees, option pricing, and securitisation waterfall models. Manage client engagements and a team of junior quants, produce technical reports, and implement models using Excel/VBA, Python, C#/C++, and vendor tools like Bloomberg and Numerix.

Lead development and scaling of the Payments Experience web application and platform tooling. Design services via RFCs, own end-to-end development, containerization, deployment, and maintenance. Ensure test coverage, observability, CI/CD and IaC. Mentor junior engineers and collaborate cross-functionally to deliver high-quality, customer-facing features.

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

As an Engineering Manager, you will lead engineering teams, ensuring high performance and delivery of customer value while driving technical decision-making and managing project outcomes in a cross-functional environment.

Own and stabilize IAM provisioning queue, build SCIM auto-provisioning and enrollment flows, automate access reviews and certification campaigns, reduce identity-related technical debt (JIT/PAM, least-privilege evidence), and integrate IAM tooling (Okta, Tines, cloud IAM) while partnering with GRC, Workplace Technology, and engineering.

Own and operate cloud infrastructure (primarily AWS) using Infrastructure as Code. Maintain and improve Terraform estates, manage Kubernetes and ArgoCD production workloads, keep CI/CD pipelines reliable, automate with Python/Bash, monitor performance, troubleshoot incidents, and collaborate with teams to deliver secure, scalable public-sector services.

Lead customer-facing AIOps engagements as a senior solutions architect: design and implement BigPanda solutions, drive enterprise implementations, mentor architects, influence stakeholders, and ensure value realization and operational resilience.

Design, implement, and maintain scalable backend services and APIs for a live mobile game platform. Ensure performance, reliability, and uptime; collaborate with DevOps, QA, data, and product teams; mentor junior engineers; participate in incident response, testing, and technical documentation.

Own top-of-funnel growth for a B2B fintech SaaS: design self-sustaining paid and organic acquisition loops, run weekly A/B and multivariate experiments, lead website CRO with heatmaps/session recordings, build lead-capture tools, run ABM plays with Sales, and own the analytics stack (UTM, GA4, attribution) using SQL/Python and BI tools to track CAC/CPL and optimize conversion.

Lead client-facing data platform architecture and strategy. Design scalable Databricks/Azure or AWS-based solutions, oversee multi-team delivery, incident response, governance, and data security. Mentor engineers, drive roadmap and budget decisions, and ensure resilient, high-quality data pipelines aligned to business goals.

Own end-to-end features across frontend and backend: design scalable APIs and data models, build polished React UIs, manage AWS infrastructure and CI/CD, set technical direction, and ensure performance, reliability, and security in a fast-moving startup.

Lead development and implementation of analytics and predictive models to support R&D Quality oversight across clinical, safety, laboratory, and vendor data. Build dashboards, risk indicators, automated monitoring, and audit-support tools; integrate complex data to identify portfolio-level risks and translate findings into actionable quality recommendations that support GCP/GVP/GLP/GCLP compliance and inspection readiness.

Design, develop, and enhance Cority software and client solutions. Lead technical decisions and teams, produce production-ready code, implement CI/CD, perform code reviews, mentor junior developers, collaborate with Product Owners, support and maintain systems, and own functional areas or projects.

Design, develop and maintain security automation workflows and playbooks to improve SOC detection, triage, enrichment and response. Build integrations with SIEM, SOAR, EDR, cloud platforms and APIs, implement AI-enhanced automation, produce documentation and runbooks, monitor performance, and support SOC teams and standards.

Design, build and operate Grafana Labs' bare-metal to Kubernetes platform: provision storage, networking and clusters; manage cluster networking, scheduling and autoscaling; maintain Crossplane compositions and Terraform modules; support users and run on-call duties to ensure reliability, performance, and scalability of platform infrastructure.

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.

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.

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 run a physical and derivatives Aluminium trading desk: originate and execute trades across the value chain, manage supply chains and counterparties, develop hedging strategies, monitor market fundamentals and risks, deliver P&L growth, and provide strategic market analysis to senior management.

The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.