Top Python Jobs in London

Leads strategic AI and machine learning initiatives from concept through production. Designs scalable solutions connecting data, models, platforms, and systems; develops reusable engineering patterns; improves solution quality and reliability; conducts analysis supporting strategic decisions; builds stakeholder partnerships; and provides organizational leadership, mentoring, and innovation across the enterprise.

Designs and delivers enterprise-grade AI solutions using machine learning and generative AI. Partners with Product, Sales, Trading, and Operations to build scalable technology solutions. Applies modern AI frameworks and AI-assisted software development practices across design, development, testing, documentation, and support. Leads engineering best practices, automation, continuous improvement, and innovation within agile teams, using strong Java and Python skills in mission-critical environments.

Designs and delivers enterprise-grade AI solutions, including machine learning and generative AI applications, using Java and Python. Partners with Product, Sales, Trading, and Operations to build scalable technology solutions. Advances AI-driven software development practices across design, development, testing, documentation, and operational support while improving engineering productivity, quality, and delivery through agile collaboration.

Serve as the technical expert for complex enterprise customer engagements across implementation, adoption, and renewal. Advise customers on Amplitude products, taxonomy design, instrumentation, data governance, integrations, and business processes. Act as a trusted technical advisor, communicate customer insights internally, and collaborate with Product, Engineering, Support, and Customer Success teams to improve processes and data management experiences.

Lead the development of exchange market-making and OTC inventory liquidation strategies across FX, precious metals, futures, and cryptocurrency markets. Research market microstructure, order-book behavior, liquidity, and adverse selection using high-frequency data. Build realistic simulations and backtests, deploy and monitor live strategies, improve performance and resilience, and establish research governance. The role will eventually define research direction and recruit, mentor, and lead a quantitative trading team.

Lead software verification and validation for safety-critical medical device software, developing test strategies, protocols, execution reports, compliance-as-code workflows, and automated quality gates. Drive CI/CD and test automation, apply TDD and BDD, and collaborate with systems engineers to test hardware-integrated signal-processing applications. Ensure compliance with IEC 62304 Class C and ISO 14971 throughout the software development lifecycle.

Deliver technical client deployments of the OneView platform, including data extraction, engineering, data science, cohort development, dashboards, predictive models, and analytics. Manage technical project delivery, stakeholder communication, benefits tracking, client training, testing, and platform improvements. Work with consulting, governance, product, and QA teams to translate client data into actionable insights and measurable social impact.

Complete a full-time, one-year product engineering placement within an incident-management software team. Build and ship production features using Go, TypeScript, React, Postgres, and Google Cloud technologies. Own meaningful projects end to end, contribute to AI-native reliability features, participate in stand-ups and code reviews, and work collaboratively in a fast-paced environment with mentorship and production responsibility.

Six-month product engineering placement working within a product team to build, ship, monitor, and improve production software. Responsibilities include contributing to incident-management features, owning an end-to-end project, collaborating through stand-ups and code reviews, and working across Go, TypeScript, React, Postgres, Google Cloud, infrastructure, observability, and AI-native features. The role includes mentorship while expecting full-time engineer-level ownership and delivery.

Build and operate production data pipelines using Python, SQL, Airflow, Snowflake, and Databricks. Implement ingestion sources, DAGs, schemas, monitoring, and catalog registration; investigate and resolve pipeline issues; review code; trace data lineage; support data security, governance, and reverse ETL integrations; collaborate with stakeholders; and mentor junior data engineers.

Lead technical vision and architecture for the Mojo compiler backend: IR lowering, optimization passes, and code generation across CPUs, GPUs, and AI accelerators. Drive MLIR/LLVM initiatives, expand debugging and profiling tooling (LLDB/GDB, LSP, profilers), mentor engineers, collaborate with cross-functional teams, and engage with the open-source community to shape developer tooling and compiler strategy.

Advise enterprise customers on AI adoption by identifying high-value use cases, building prototypes, proving business value, and guiding deployments from concept to sustained adoption. Lead technical and executive discussions, apply expertise in prompt engineering, LLM selection, governance, agentic workflows, and integration, while collaborating with account, product, and engineering teams. Share field learnings through playbooks and product feedback. Regular customer-site travel of approximately 50% is required.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Build and maintain the Payin Platform that handles how money enters Wise. Design Payin Session and Payment abstractions, ensure reliability and scalability for high-volume transactions, collaborate across teams, write testable code, drive end-to-end ownership, and improve APIs and systems for excellent customer experience.

Lead analytics for Payment Operations risk: define KRI frameworks, set risk thresholds, build control assurance and reconciliation models, create reliable data pipelines and visualisations, and partner with risk and auditors to prevent financial loss and ensure compliance.

Seeking a Senior Software Engineer for the Beacon Core Engineering team to design, build, deploy, and maintain software tools and assist clients using AI agents, focusing on quality code and collaboration.

Own post-sale technical success for European enterprise customers. Lead onboarding and integrations across CI/CD systems, build pipelines, IDEs, and internal tooling; troubleshoot production issues using logs and telemetry; conduct architecture reviews, security assessments, workshops, and business reviews; create success plans and scalable enablement materials; and relay customer insights to Product and Engineering.

Design insurance pricing, reserving, forecasting, and portfolio-risk scenarios for AI model training. Create actuarial analyses and reference answers, evaluate AI outputs for quantitative and methodological accuracy, identify unsupported assumptions and errors, and provide structured feedback. The role requires explaining actuarial methods and business implications to technical and nontechnical audiences while participating in calibration and onboarding sessions.

Design, build, and own scalable data pipelines from ingestion through analytics and incentive payouts. Lead data platform architecture, including Snowflake, dbt, Iceberg, and S3 workflows. Establish data quality, lineage, observability, performance, cost, and SLA standards. Partner with engineering and analysts to support telematics accuracy and driver incentive reporting. Develop maintainable data models and transformation layers while using AI coding tools to improve development speed and quality.

Supports the operational resilience, deployment, monitoring, and incident resolution of a hosted digital policing application. Responsibilities include customer service reviews, SLA monitoring, release and patch support, software engineering liaison work, shared-services coordination, technical documentation, SQL Server cluster support, and root-cause analysis. The role requires cloud, operating system, database, scripting, observability, and infrastructure expertise, plus customer engagement and participation in an on-call rotation.

Build and evolve CluePoints’ enterprise data platform using Microsoft Fabric and Azure. Responsibilities include migrating Azure SQL and ADF workloads, integrating SaaS and web data, developing scalable ingestion and transformation pipelines, maintaining Kimball dimensional models, and establishing CI/CD, data quality, lineage, security, and monitoring. The role partners with analytics leadership and supports trusted Power BI reporting across multiple business functions.

Owns the operational resilience of Motorola Solutions’ mission-critical Pronto digital policing application. Responsibilities include hosted application lifecycle management, deployments, patching, release coordination, SLA monitoring, incident resolution, customer engagement, data governance, SQL Server cluster administration, technical documentation, and mentoring junior engineers. The role collaborates with software engineering and shared services teams, supports police and emergency-service customers, and participates in an on-call rotation.

Own and scale AWS infrastructure for a global SaaS platform, focusing on reliability, performance, security, and availability. Build CI/CD pipelines and infrastructure-as-code with Terraform, Terragrunt, and Chef; operate observability tooling; support migrations; drive SOC 2 practices; and partner with engineering teams on architecture. Respond to on-call incidents, lead root cause analyses, implement durable fixes, and evaluate AI tools that improve DevOps and SRE workflows.

Conduct hardware-aware AI research: generate ideas, design and run ML experiments, implement performant scalable systems, publish and present results, and collaborate with researchers, silicon and software engineers to guide next-generation AI hardware.

Lead the architecture and scaling of Overstory’s data platform for AI-powered vegetation analysis. Design and operate large-scale geospatial and temporal data pipelines, orchestration systems, event-driven workflows, service-oriented architecture, data quality frameworks, and observability practices. Drive architectural standards, system design, scalability, reliability, and traceability while mentoring engineers and collaborating with data, ML, and product teams.