Top Python Jobs in London

You will develop high-quality cross-platform C++ code, design application architecture, ensure test coverage, mentor team members, and contribute to the release process.

Lead client integrations while managing Integration Engineers, driving process improvements, and collaborating with data teams to ensure efficient integration and data quality.

As a Senior Software Engineer, you'll lead technical delivery in customer projects, utilizing AI and machine learning, and collaborate with cross-functional teams to optimize and integrate solutions.

As a Research Scientist at Graphcore, you will advance AI research by designing experiments and collaborating with engineers on AI hardware developments while addressing embodied AI challenges.

The role involves engineering and maintaining a data platform on Azure, developing tools, collaborating with users, and utilizing infrastructure as code practices.

The Senior Machine Learning Engineer will lead the architecture and design of ML solutions, develop end-to-end models, deploy and monitor ML models, and mentor other engineers. The role requires collaboration across teams and staying updated with ML advancements.

As a Data Quality Analyst, you'll develop dashboards and tools, manage data quality frameworks, and provide insights to improve decision-making and operational efficiency.

As a Go Software Engineer for Identity Management, you will design, implement, and enhance identity management solutions, collaborate with a distributed team, and contribute to the development of authentication and authorization systems.

The Lead Software Engineer will provide technical design, maintain the technical roadmap, document architectures, code, conduct reviews, mentor engineers, and support recruitment efforts.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

The Performance Analyst will design performance frameworks, provide data insights to improve services, and support agile teams by translating data into actionable recommendations.

As a Software Development Engineer II, you'll develop mapping tools, maintain APIs, ensure reliability as user demands grow, and collaborate on scalable backend services.

The Senior DevOps Engineer will design and manage AWS infrastructure, deploy applications using Kubernetes, enhance CI/CD pipelines, and advocate automation and collaboration in a fast-paced team environment.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

Join Docker's AI engineering team to develop containerized AI agents, enhance the open-source cagent project, and collaborate on innovative solutions.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

The Solutions Engineer partners with Sales and Customer Engineering, guiding customers through database migrations and optimizing solutions. Responsibilities include technical discovery, designing migrations, assessing workloads, creating tools and documentation, and collaborating with teams for customer needs.

The Product Ops Analyst manages the operational lifecycle of HTS Assist, ensuring automation and system integrations function smoothly across travel partners, while driving performance improvements through data analysis and QA.

As a Senior Site Reliability Engineer in Networking, you will build and maintain Fastly's global network, resolve incidents, analyze performance, and mentor team members.

As a Staff Data Scientist, you'll develop predictive models for cash flow, analyze diverse data sources, improve customer experience, and monitor model performance.

As a Senior Data Engineer, you'll design and maintain cloud-native data pipelines, automate workflows, and collaborate on data solutions for clients.

As a DevSecOps, you'll develop observability strategies, ensure high availability of the Acra platform, create recovery strategies, scale applications, and collaborate with product engineering for reliability and scalability.

Lead AI projects, develop algorithms, mentor team, and build client relationships while ensuring high-quality project delivery.

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

The Credit & Commercial Manager will lead the pricing strategy, utilizing analytics and insights to optimize performance and enhance the customer journey in the motor finance sector.