Top Python Jobs in London

The Associate Data Engineer will develop applications, manage data pipelines, enhance data quality, and support SaaS offerings within Quantexa's Applications team.

The Talent Development Specialist will design and implement learning initiatives, drive leadership development strategy, and partner with teams to enhance employee skill development.

Join the FPGA team to develop ultra-low-latency trading systems using machine learning. Collaborate on networking and high-performance computing challenges.

Develop and optimize custom Unreal Engine plugins in C++, integrating with external tools and AI systems while collaborating with artists and engineers.

The Application Support Analyst provides technical support for payments and settlement platforms, managing incidents and liaising between technology teams and business stakeholders.

Responsible for providing technical support for trading and back-office applications, ensuring service delivery, managing incidents, and liaising with teams and clients.

Design, develop, and deploy software for space systems, focusing on flight software, autonomous operations, and system integration with AI/ML teams.

The role involves owning AI/ML systems, leading the AI Engineering Pod, implementing backend solutions, and mentoring team members while ensuring system performance and compliance.

Manage blockchain nodes by designing, implementing, and maintaining scalable infrastructure. Requires IaC expertise, DevOps practices, and observability skills.

As a Rust Engineer in the Market Making Services team, you'll develop low-latency trading systems, enhance trading strategies, and improve infrastructure performance in a remote environment.

As a Technical Consultant, you'll implement document automation solutions for financial clients, analyze workflows, and collaborate on automation projects.

The Senior Software Engineer will design data solutions in a cloud environment, ensuring security and compliance while integrating data pipelines and enhancing platform capabilities for multinational clients.

The role focuses on ensuring a robust data foundation for analytics within PNE by managing data governance, engineering, and collaboration with global teams.

Internship focused on quantitative research, analyzing large datasets, building models, and creating trading strategies with collaboration and education.

As a Sales and Trading intern, you will engage with clients, tackle trading needs, and learn finance fundamentals through mentorship and classes.

Quantitative Researchers build models and strategies for pricing and trading financial instruments, working collaboratively with teams on data analysis and model implementation.

Software Engineers at Jane Street design and build systems using OCaml and Python, focused on functional programming for various teams.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.

As a Machine Learning Researcher, you will develop deep learning models for trading strategies, collaborate with engineers and traders, and explore cutting-edge ML techniques.

The Windows Engineer will manage and optimize the Windows infrastructure, automate deployment processes, and collaborate globally to resolve issues and document outcomes.

As a Machine Learning Researcher intern, you will collaborate with experienced ML researchers on projects related to systematic trading, applying novel ML techniques and engaging with large datasets.

As a Data Analyst, you'll drive data-informed decisions by building reporting tools, analyzing data trends, and aiding the Fulfilment Operations team to improve processes and automate tasks.

The Senior Software Engineer will design and implement AI solutions, develop full-stack applications, and lead projects within the AI Team, focusing on high-impact contributions and collaboration.

The Senior Machine Learning Engineer will design and deploy machine learning models and algorithms, collaborating with cross-functional teams to enhance educational products and transform Multiverse into an AI-first company.

The Senior Software Engineer will build and operate AI Middleware, develop data pipelines, optimize AI services, ensure compliance, and collaborate across teams.