Top Python Jobs in London

The role involves supporting tech leadership through onboarding programs, vendor coordination, document synthesis, and initiative management to improve operational efficiency.

The Machine Learning Engineer will design, deploy, and optimize AI-powered solutions, collaborating with data scientists and engineering teams to bridge the gap between experiments and production, ensuring reliability and scalability.

Participate in a 3-year rotational program focusing on data science and engineering, gaining hands-on experience in analytics, modeling, and visualization.

As a DevOps Engineer, you will design, build, and maintain automation, tooling, and cloud infrastructure for software delivery. Responsibilities include CI/CD management, cloud infrastructure design, container orchestration, and security practices. Collaboration with development and operations teams is essential for continuous improvement and system reliability.

The role involves building and maintaining critical systems for AI inference, optimizing compute efficiency, and supporting research and deployment of AI models.

The Principal Architect in Technology Consulting leads the delivery of AWS solutions, engages in requirements analysis, and collaborates with teams to enhance project processes involving AWS services.

As a Principal Software Engineer, you will lead backend projects, enhance engineering stability, and drive cross-team collaboration within a large engineering organization.

The Junior Site Reliability & Network Engineer will ensure reliability and performance of the trading platform, manage cloud infrastructure, and develop automation tools while collaborating with teams on system enhancements.

The Principal Data Scientist will lead the development of AI solutions, optimize models, and drive project timelines while collaborating with teams to meet business goals.

The Principal Software Engineer will lead the development of containerized AI agents, guide architectural decisions, and enhance the cagent open-source project while mentoring team members.

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.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Software Engineers at Jane Street engage in collaborative technology-driven work, using functional programming with OCaml and Python for various business problems.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

Teza seeks quantitative research interns to create trading hypotheses and conduct research within investment groups. Interns will present at a global conference and work alongside professionals in finance and technology.

The role involves developing options trading strategies, applying pricing models, conducting backtests, and mentoring junior researchers, all in a collaborative environment.

The Junior PM will design and execute systematic trading strategies for natural gas, analyze datasets for predictive signals, and collaborate in model development.

As a Senior Solutions Consultant, you'll implement AI-powered solutions for enterprise clients, customize Coveo's features, and lead project delivery across various systems.

The AI Engineer will develop AI-driven features, utilizing LLMs and agent architectures, ensuring quality and customer impact through collaboration in a dynamic team.

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.

Lead the development of AI technologies for real estate transactions, manage a team of engineers, and oversee project lifecycles while ensuring code quality and secure practices.

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.

Lead the development and deployment of advanced ML/AI products, mentoring teams and collaborating with stakeholders to influence business outcomes.

Build and operate Kubernetes clusters, optimize infrastructure for AI workloads, and collaborate with researchers to enhance model training systems.