Top Python Jobs in London

As a Forward Deployed AI Engineer, you will design and implement AI solutions for enterprise customers, collaborating closely with product teams and ensuring effective deployment and customer satisfaction.

The Staff Network Engineer designs and optimizes global office networks, ensuring 99.9% uptime, and promotes security through Zero Trust Access while managing significant hardware investments.

As a Developer Support Engineer, you'll help developers troubleshoot API and SDK issues, document findings, and improve their experience with Braintrust's tools, while collaborating with engineering teams.

Responsible for daily support of EU physical natural gas activities, including P&L reporting, storage contracts, imbalance management, invoicing, and settlements, ensuring accurate commercial outcomes and timely reporting.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

As an IoT Engineer, you will design, build, and scale connected hardware for the Energy Network, focusing on device connectivity, security, and cloud integration, while collaborating across teams to deliver production-ready systems.

Build and maintain backend services for iwoca's German market, owning projects end-to-end. Improve and automate operational workflows (underwriting, notifications, account management), evolve architecture for scale, advocate for engineering quality, and mentor teammates while reducing manual effort.

The Data Engineering Functional Lead will develop and scale data systems to support AI and Analytics, ensuring compliance and effective delivery. Responsibilities include strategic leadership, building data platforms, and fostering a collaborative team culture.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

As a Staff Software Engineer, you will influence technical direction, improve system scalability, and lead AI integration efforts across multiple teams at Carta.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The Options Trader will manage a proprietary trading book for Indian Index and Stock Options, generate trading ideas, analyze performance, and manage risk using quantitative tools.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

Lead the definition and execution of strategic initiatives, contribute to software development and architecture, mentor engineers, and drive technical standards.

As a Staff Product Engineer, you'll lead architectural contributions, develop software, mentor engineers, and collaborate with product teams to enhance customer experience.

As a Senior Fullstack Engineer, you'll design and develop features for a legal AI application, focusing on frontend technologies, while collaborating with a cross-functional team in a fast-paced environment.

The Site Reliability Engineer role involves building and managing cloud infrastructure, CI/CD pipelines, and ensuring system reliability and performance while collaborating with software engineering teams.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

Assist in investigating, monitoring, and analyzing emerging catastrophe risks, managing datasets related to Liability and Casualty modelling, and collaborating with teams for data support.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

Lead Java Developer responsible for delivering Real-Time and On-Demand Risk enhancements, managing the full development lifecycle, collaborating with global teams, and driving operational improvements.

The Quant Developer will design and deliver trading analytics tools, build data pipelines, develop backtesting frameworks, and optimize quantitative applications for the Equities Tech team at Citi.

The Software Engineer will develop AI-powered features for managing requirements in engineering, integrating language models, and maintaining infrastructure. Responsibilities include building workflows and collaborating with product teams to enhance system design processes.

Develop and optimize automated trading infrastructure, collaborate with Traders and Quants on trading algorithms, and create scalable multi-tiered applications.

As a Staff Data Scientist at Preply, you will lead data strategy for key product domains, driving decision-making through deep analytical investigations, experimentation programs, and collaboration with senior leaders to optimize business outcomes.