Top Python Jobs in London

Lead pricing ML for a real-time energy transaction engine: define mathematical formulation, build and ship production-grade models, optimise pricing and portfolio balance, and communicate model behavior to commercial and engineering stakeholders.

Lead architecture and deliver end-to-end, scalable full-stack systems and developer tooling. Hands-on coding across backend and frontend, prototype AI-driven workflows, collaborate with product and design, mentor engineers, and drive engineering best practices to accelerate product delivery and scale.

Lead engineering efforts to design and deliver scalable end-to-end systems and developer tooling. Contribute hands-on code, drive architecture, mentor engineers, collaborate with product and design, prototype new workflows, and improve customer and broker-facing experiences to enable growth and operational scale.

Lead design and delivery of Rosso, tem's pricing infrastructure: build and operate stateful, event-driven Python systems, integrate ML forecasting and optimisation into production, set architecture and observability standards, mentor senior engineers, and drive cross-functional initiatives to scale high-volume pricing workflows.

Lead pricing ML for Rosso: define technical direction, build production-grade price-optimisation and probabilistic imbalance models, bridge modelling and MLOps, and communicate model decisions across teams.

Design, build, and operate multi-region AWS platforms with resilient networking, security, and automation. Implement IaC, cross-region routing, HA/DR patterns, observability, and cost/security best practices while collaborating with DevOps, SRE, Security, and application teams.

Design, build, and maintain enterprise Atlassian solutions (Jira Software, JSM, Confluence); create workflows, automations, and dashboards; integrate with M365, CI/CD, and other systems using APIs and scripts; develop automation and API solutions; maintain architecture documentation, platform stability, and governance; collaborate with product owners and technical stakeholders to translate requirements and provide Atlassian best-practice guidance.

Lead and grow engineering teams to design, build, and operate scalable AWS-based systems. Define cloud architecture and technical strategy, improve CI/CD and DevOps practices, oversee project delivery, optimize AWS infrastructure for performance and cost, implement monitoring and disaster recovery, and collaborate with product and executive leadership to align engineering priorities with business goals.

Design, implement and manage GCP infrastructure using Terraform. Architect compute, storage, networking and BigQuery solutions. Integrate Vertex AI for ML pipelines, configure Wiz Security Control for continuous security, implement Policies-as-Code, automate tooling and scripting (Python/Bash), and collaborate with cross-functional teams to ensure scalable, secure, compliant GCP environments.

Design and build high-performance backend services and APIs in Go to manage datasets, model assets, metadata, and workflow orchestration. Ensure scalability, reliability, observability, and CI/CD-driven deployments. Collaborate with frontend, product, and platform teams, contribute to architecture, resolve production issues, and support AI/ML evaluation pipelines and human-in-the-loop workflows.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Provide technical support for IAM services: troubleshoot and resolve incidents, perform root cause analysis, maintain SOPs/knowledge articles, support integrations and provisioning, collaborate with Engineering/DevSecOps, and drive automation and operational improvements while meeting SLAs.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Design, build, and deploy production-ready ML models emphasizing recommendation and ranking systems. Apply NLP and behavioural analytics to large-scale datasets using Databricks and Spark. Run experiments (A/B tests), monitor and optimise live models, and collaborate with engineers and product teams to deliver measurable business impact.

Lead solution strategy and pre-sales for enterprise AI engagements: define architectures, run discovery workshops, build POCs/reference architectures, align delivery, support deal shaping, and drive AI practice growth across Sales, Marketing and Delivery.

Lead design, build, and scale backend platform services and features across Arbor's core product. Own delivery of high-impact functionality, ensure test coverage and code quality, mentor engineers, and drive technical solutions, documentation, and roadmap work in a service-oriented architecture.

Serve as the technical AI/ML lead in customer engagements: translate customer needs into robust solution designs, build stakeholder relationships, contribute to proposals and product roadmaps, prototype approaches, and ensure delivered ML systems are operationally valuable.

Lead technical pre-sales for Twilio's Communications Platform across EMEA: run discovery, demos, POCs, architecture design, RFP responses, and enablement. Build trusted advisor relationships, present solutions, and collaborate with sales, partners, and services to win strategic accounts.

Deploy and maintain AI enablement infrastructure (MCP servers, AI agents, hosting) and cloud environments on AWS/GCP. Build IaC and CI/CD pipelines, monitor performance/cost, support containerized services, manage API keys and permissions, document runbooks, and collaborate with Security, Engineering, and stakeholders to improve cloud governance and AI tooling adoption.

Ensure reliability, performance, and resilience of Runware's distributed, GPU-backed production platform. Define SLIs/SLOs and observability, investigate incidents across services, databases, networking and queues, automate remediation and deployment safety, participate in on-call rotations, conduct RCA and implement long-term fixes, and collaborate on capacity planning and scaling.

Build and evolve a real-time AI tutoring system: design prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models with platform infrastructure, prototype production model interactions, ensure safety and observability, and collaborate with educators and product teams to translate pedagogy into technical solutions.

Lead QA automation efforts across API, backend, and mobile. Build reusable API automation in Postman and Python, implement contract and integration tests, adopt GitHub Copilot for test development, embed shift-left practices into CI/CD, uplift QA maturity, extend automation to iOS/Android, and collaborate with product and engineering stakeholders on test strategy and quality metrics.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

Lead the marketing measurement strategy for Airalo, including Marketing Mix Modeling, incrementality testing, and attribution methodologies. Collaborate across teams to drive data-informed decisions and optimize marketing spend in a global context.