Top Python Jobs in London

The Project Controls Analytics Consultant will develop analytics solutions, support project reporting, engage with stakeholders, and enhance data-driven decision-making across major infrastructure projects.

Design, build, and operate resilient ETL/ELT pipelines ingesting data from Azure SQL, SaaS, and event streams into BigQuery. Implement declarative pipelines (DLT), support low-latency ML feature pipelines, ensure operational health, monitoring, and incident response. Collaborate with analytics and AI/ML teams, mentor junior engineers, optimise platform performance, and influence platform architecture and tooling decisions.

Own and evolve service templates for .NET, Node.js and Python; build reusable CI/CD pipeline templates; define observability standards; implement platform tooling (Docker, Kubernetes/Cloud Run, Terraform); work with Datadog/incident.io/GCP/Azure monitoring; assess Azure-to-GCP migration impacts; partner with product teams to fix developer-experience issues; lead technical decisions and mentor engineers.

Lead the Cloud Platform team's developer experience work: build and maintain service templates and CI/CD pipelines, define observability standards, support platform initiatives (including potential Azure-to-GCP migration), mentor engineers, and drive adoption of platform tooling across stacks (.NET, Node.js, Python).

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

Lead the design and delivery of the Data Transfer Hub, managing large-scale data transfer pipelines and working directly with partners like Uber and Nissan.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

The Staff SRE will design and implement OpenTelemetry solutions, establishing telemetry strategies, enhancing infrastructure, and optimizing observability practices across platforms and architectures.

As a Staff Software Engineer, you'll lead full stack projects, mentor teams, ensure code quality, and influence engineering practices to deliver client-focused software solutions, with a strong emphasis on AI integration.

Design, implement, and optimize observability infrastructure using OpenTelemetry and various cloud services, focusing on monitoring and reliability practices.

The Senior Software Engineer will lead the delivery of software projects, practice TDD, mentor developers, and influence technical direction while writing code and collaborating with clients and teams.

Design and build practical AI tools, prototypes, and agentic workflows to improve productivity across business units. Create reusable patterns, APIs, and templates, drive AI adoption, optimize performance and costs, identify and mitigate AI risks, contribute to governance, and mentor colleagues while delivering enterprise-grade, regulated solutions.

The Principal Data Engineer will design and build AI features, manage data pipelines, and collaborate with data scientists to enhance machine learning models and their implementations.

The Senior Engineer will design, develop, and deploy software solutions for a global financial platform, collaborating with cross-functional teams and maintaining high-quality standards.

The role involves leading backend-focused engineering initiatives, evaluating project impacts, and ensuring effective team collaboration within a high-performance engineering culture.

Work with traders and analysts to build scalable Python services and APIs, develop supply/demand models, market data analysis, real-time analytics, visualizations, and workflow automation for the front-office platform.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

The role involves maintaining production servers, managing Python infrastructure, and solving operational issues in a quantitative trading environment.

As a Software Engineer, you'll develop low-latency trading applications and infrastructure, focusing on optimization and system performance in a fast-paced environment.

Design and optimise downstream data models in BigQuery to support reporting, ML, financial and regulatory use cases. Build and maintain scalable ETL pipelines, define data modelling and testing standards, improve warehouse performance and data quality, collaborate cross-functionally, own pipelines and provide occasional on-call support.

The Senior Data Scientist will enhance clinical trial recruitment through data products and services, liaising between teams to develop efficient analytics and technologies, ensuring trust in a regulated environment.

As a Data Scientist on the Growth Team, you will develop predictive models, analyze complex datasets, and collaborate with stakeholders to enhance customer acquisition and retention at Capital on Tap.