Top Python Jobs in London

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.

As a Data Scientist at Spotify, you'll analyze large datasets, collaborate with teams, and implement AI solutions for strategic insights.

Design and operate backend services for Spotify's voice experiences, collaborating across disciplines and ensuring code quality and system reliability.

Design and maintain codebase, tools, and services for training AI models. Write clean, efficient code and optimize distributed systems.

Lead the design and operation of AWS/Linux platforms, improving reliability and scalability, and drive faster deployments through modern engineering practices and mentoring engineering teams.

The Senior Applied Data Scientist will work with complex problems to deliver actionable insights using machine learning techniques and statistical modeling, collaborating with clients and teams to create scalable solutions.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

The Quantitative Risk Analyst will design, develop, and maintain risk management models, perform quantitative analysis, and support product development at LCH.

The role involves managing geospatial datasets, ensuring data quality, building geospatial ETL workflows, collaborating with teams for data integration, and contributing to geospatial modernization initiatives.

The QA Automation Lead will design automated test frameworks, ensure product quality, mentor engineers, and collaborate with development teams.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.

The Senior DevOps Engineer will manage and enhance a complex infrastructure for sports betting platforms, focusing on automation, performance, and monitoring, while working closely with internal teams and the CTO.

Lead development of machine learning models, enhance user feedback analysis, drive technical direction, and optimize evaluation systems for autonomous vehicles.

The Front-end Engineer will develop user-facing features, collaborate with teams, maintain a design system, and adapt tools to solve user problems efficiently.

As a Front-end Engineer, you will develop user-facing features, implement AI interaction patterns, and collaborate with cross-functional teams to enhance product impact.

The Solutions Engineer will engage with Large Enterprise clients, providing pre-sales technical support, guiding AI strategies, and ensuring effective implementation of solutions using OpenAI products.

The Senior Marketing Analyst will oversee marketing and growth analytics, drive experimentation, analyze campaigns, and collaborate with cross-functional teams for insights.

The Lead Product Analyst will drive product analytics, manage A/B testing, establish analytical best practices, and influence product strategy for the insurance product.

Design and deliver production-grade AI systems and LLM-backed data pipelines on Databricks. Build and maintain scalable Spark/Delta Lake ML pipelines, evolve an internal AI platform, integrate LLMs into products with traceability and explainability, and ensure solutions meet performance, security, and regulatory compliance while collaborating with data, product, and platform teams.

The Senior Data Analyst will optimize data processes, develop dashboards, deliver insights, and collaborate with stakeholders to enhance data governance and analytics capabilities.

As a Software Engineer, you'll develop backend services for crypto trading, optimize systems, and collaborate with product teams throughout the development lifecycle.

The role involves developing MLOps infrastructure, ML pipelines, and CI/CD for search and recommendation systems. It requires ML engineering across cloud platforms, collaboration with teams, and optimization for cost and performance.

As a Front End Engineer, you will develop impactful features, improve platform functionality, and collaborate with product and design teams, emphasizing JavaScript and Python.

As a Python Developer at Lyst, you'll tackle challenges in product development, working with a team to enhance user experience and handle data ingestion and payment systems.