Top Python Jobs in London

The Client-facing Engineer will manage customer queries, prototype technical solutions, collaborate with internal teams, and build relationships with customers across various industries.

The DevOps Engineer will focus on designing and improving CI/CD platforms, lead technical solutions, mentor engineers, and work in agile teams.

Partner with enterprise customers from pre-sales through post‑sales to design scalable analytics implementations, drive ROI, improve data governance and trust, manage complex technical projects, and enable broad product adoption through change management and technical advisory.

The Senior Full Stack Engineer will design, develop, and maintain scalable features, improving user experience and collaborating with teams on software solutions.

Assist in innovative AI research, develop SOTA models, and collaborate with teams on various complex use cases, especially focusing on text, image, and speech modalities.

Contribute to projects, implement research ideas, and run training and evaluation experiments for the Waymo Driver simulation.

The GenAI Engineer will design and develop AI agents, enhance existing ML systems, manage cloud infrastructure, collaborate on features, and present to stakeholders.

The Senior AI Engineer will design, build, and deploy AI-driven solutions, collaborating with teams to enhance products using Generative AI technologies.

Build and maintain ETL/ELT pipelines, data warehouses and lakehouse environments to support underwriting, forecasting, scenario modeling, and portfolio analytics. Ensure data quality, governance, and documentation while partnering with investment teams to translate requirements and automate workflows.

Lead and mentor a backend engineering team, managing the development of backend systems and data infrastructure for transport data.

Lead full-stack architectural design and implementation of biometric identity verification solutions, driving technical strategy and collaborating across teams to ensure compliance and security.

As a Senior Pricing Actuary, you'll lead pricing transformation discussions with clients, develop pricing models, influence strategy, and drive AI-enabled workflows.

As a Senior Pricing Actuary, you will lead transformation in pricing strategy, partner with stakeholders, and contribute to innovation in actuarial practices, focusing on AI and modern workflows.

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.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

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 Machine Learning Scientist at Depop, you'll design and deliver ML solutions for search and ranking, conduct experiments, and collaborate with product and engineering teams.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Site Reliability Engineer will enhance system reliability and performance by designing, maintaining, and troubleshooting scalable systems while ensuring security and compliance.

Develop core product features, design systems for energy installers, manage end-to-end feature ownership, and shape technical direction while collaborating with founders and customers.

Support cross-functional strategic and technology projects across research, AI/LLM initiatives, and internal tooling. Build lightweight data tools and automation, assist coding and workflow optimizations, prepare executive analyses, and coordinate multi-stakeholder initiatives.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Develop algorithms for wireless communications, manage radio resources, and collaborate on system optimization, requiring in-depth technical knowledge and communication skills.

As a Back End Engineer, you will build scalable services, integrate data sources, and contribute to the development lifecycle, ensuring code quality and supporting the product. You will collaborate with cross-functional teams to enhance customer insights and experience.