Top Python Jobs in London

As a Software Engineer specializing in AI, you will develop and maintain scalable AI-first software and frameworks, and collaborate in a fast-paced startup environment.

The Web Developer will create and maintain high-quality web applications, collaborating with designers and other developers to enhance user experience while adhering to web standards and best practices.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Palantir Forward Deployed Engineer (FDE) role involves leading the full cycle of data-driven solution development, engaging with stakeholders, integrating data, and driving product adoption across organizations using Palantir Foundry.

Lead Bugcrowd's cybersecurity strategy, manage teams, oversee product security and incident response while ensuring compliance with security frameworks and improving security posture.

Collaborate with engineers to build robust software, refactor code, solve complex problems, and translate user requirements into technical solutions.

As an Engineering Manager, lead and mentor a high-performing team while overseeing project management and technical direction for voice AI solutions.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

Develop, architect, and deliver software tools and services for internal processes. Collaborate across teams to enhance efficiency in operations and data management.

The Senior Network Engineer leads a team that resolves high-impact incidents, manages complex network solutions, and collaborates on pre-sales activities. Responsibilities include configuration, maintenance, mentoring, and customer engagement.

The AWS DevOps Engineer will refine infrastructure as code, enhance security, optimize AWS costs, and support CI/CD pipelines, while collaborating with developers and ensuring smooth operations of EC2 instances.

The role involves managing daily margin calls, monitoring client exposures, ensuring compliance and efficiency in collateral management, and performing trade reconciliation for both digital and fiat assets.

As a Quantitative Risk Analyst, you will manage risk portfolios, design risk management models, collaborate with portfolio managers, and enhance data infrastructure.

Develop and enhance analytics data products using C++, migrate Python products to C++, ensure data quality, and support data processing.

The Data Engineer will develop data pipelines, manage API strategy, ensure data quality, and shape the technical vision of the platform.

Looking for a Senior Data Scientist to optimize marketing spend using causal inference techniques. The role involves code development, mentoring, and collaboration across teams.

Join Daintta as a Software Engineer Analyst to support software development and delivery for client projects. Collaborate with cross-functional teams, contribute to requirements gathering, and ensure high-quality coding standards while gaining valuable consulting experience.

Lead a team or project in developing innovative solutions on Google Cloud, ensuring the successful delivery of projects using agile methodology and DevOps practices.

The Senior Technical Analyst will support performance solutions development by collaborating with cross-functional teams, driving data analysis, and translating insights into client-friendly recommendations.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.