Top Python Jobs in London

Join Zopa as a Data Engineer to build and maintain data pipelines and warehouses, enhance analytics quality, and collaborate across teams.

Join Zopa's Data Engineering team to design and build data pipelines, ensuring quality and reliability while collaborating with cross-functional teams to evolve data platforms.

As a Senior Software Engineer, you will design, develop, and deploy scalable software solutions for Ebury's global financial platform, collaborating with teams throughout the development lifecycle.

The Senior Software Engineer will develop and optimize multi-currency account systems and payment processes while mentoring junior team members and collaborating with stakeholders.

The IT Technical Lead will manage critical technical programs, drive automation in IT operations, and coordinate with multiple stakeholders to improve efficiency and compliance.

The Book Portfolio Manager will develop systematic strategies, manage a quantitative investment portfolio, and contribute to research and strategic initiatives regarding market inefficiencies.

Develop systematic strategies for various asset classes, manage quantitative investment portfolios, and build a research pipeline while demonstrating a verifiable track record in portfolio management.

The WQBRAIN Researcher will develop predictive financial signals and algorithms while analyzing and enhancing the BRAIN platform. Responsibilities include conducting quantitative research, collaborating on business strategies, and leading training for users and consultants.

The role involves supporting Portfolio Managers with alpha research, modeling, portfolio construction, and developing tools for quantitative trading strategies. Candidates should have strong programming skills and quantitative research experience.

The Power Insight Analyst will analyze and report on European power markets, develop insights and modeling tools, and create client-facing presentations.

The Product Manager will lead the development of AI solutions, manage cross-functional teams, and drive product strategy, focusing on customer needs and enterprise applications of ML-powered products.

You will enhance the platform's operational health by refining monitoring systems, driving cost efficiency, improving developer experience, and ensuring secure and efficient infrastructure management.

Contribute to NLP/ML research projects, develop benchmarks, train large language models, and publish findings at conferences.

The role involves designing, provisioning, and operating core infrastructure across multiple cloud providers, ensuring its reliability and scalability. Key responsibilities include managing Kubernetes clusters, implementing multi-tenancy, and collaborating on security and compliance initiatives.

Design and develop scalable server-side components, integrate APIs, automate workflows, and collaborate with teams on financial solutions.

As a Senior Full-Stack Engineer, you'll build tools across the Physical AI data stack, focusing on efficient data transfer, storage, and complex domain modeling, while collaborating effectively within a small team.

As a Site Reliability Engineer, you will develop and implement secure infrastructure concepts, support project teams in classified environments, and maintain various security tooling and systems.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

The role involves researching and trading alpha signals for futures and FX, including data handling and portfolio construction, while collaborating with teams.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Lead hands-on development, architecture, deployment and governance of ML and generative AI solutions; build and manage an AI engineering team, coordinate third-party delivery, ensure timely project delivery and compliance with AI governance and technical standards.

The role involves maintaining production servers, managing Python infrastructure, and solving operational issues in a quantitative trading environment.

The Staff Frontend Engineer will work with customers to integrate and enhance Foxglove's platform, develop solutions, and provide feedback to product teams, requiring strong collaboration and technical skills.

The Senior DevOps Engineer will automate and manage AWS cloud infrastructure, deploy Kubernetes applications, and implement CI/CD pipelines while ensuring security and compliance.

Lead and deliver data science projects end-to-end, applying techniques to solve business problems and produce insights. Collaborate with stakeholders and teams to improve personalization propositions and derive scalable results.