Top Python Jobs in London

Develop and maintain low-latency Java applications, collaborate on system design, improve performance, and document workflows and architecture.

Lead the design and implementation of AI solutions at Invisible, guiding projects from discovery to deployment while mentoring other engineers.

The Data Science Summer Internship involves building data pipelines, conducting data analysis, applying machine learning models, and creating visual reports using tools like Databricks and Snowflake.

The Actuarial Summer Internship involves assisting with analyses like claims reserving, pricing investigations, and capital modelling, while developing communication, commercial thinking, and regulatory skills.

Join a team to develop and evaluate large-scale machine learning models for drug discovery, collaborating with scientists and engineers.

Interns will work on AI, code understanding, and data analytics, focusing on distributed systems and AI agents while collaborating with experienced engineers.

The Head of Engineering will oversee engineering teams, shape technical direction, manage performance, and ensure delivery of solutions in fintech, focusing on payments infrastructure.

Design and optimize low-latency trading systems, implement trading algorithms, and ensure reliability while leading a team and collaborating with stakeholders.

The Growth Marketing Manager will oversee global execution for AI products, running experiments, scaling strategies, and collaborating cross-functionally to enhance market adoption.

The role involves technical partnership with Sonar API customers, focusing on architecture design, troubleshooting, and optimizing integrations.

As a Solution Engineer, you will develop and deploy AI-driven web applications, mentor juniors, enhance applications, and deliver customer training.

As a Site Reliability Engineer, ensure system uptime, establish monitoring, solve complex issues, and automate system updates and deployments.

The role involves designing and managing secure systems, automating tasks, troubleshooting complex issues, and leading migrations in Microsoft Azure and 365 environments.

Develop and optimize high-performance trading algorithms for Crypto markets, collaborating with traders and quantitative analysts to enhance trading strategies.

As a Storage DevOps Engineer Intern, you will monitor and troubleshoot storage platform health, conduct investigations, and analyze HPC workflows, contributing to automation and tooling.

The Software Engineer will develop remote development capabilities, improve user experiences, implement CI/CD pipelines, and ensure platform security. Ideal for adaptable developers with Kubernetes and Linux expertise.

The Compute Operations Engineer will manage and optimize a scalable research platform, develop automation for Kubernetes, and support critical infrastructure operations.

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.

The Senior FPGA Design Engineer will work on developing FPGA systems to enhance trading efficiencies and explore new opportunities, collaborating closely with traders and technologists.

The role involves researching, developing, and implementing systematic trading strategies while managing portfolio risk. Candidates should have a quantitative background and strong coding skills.

Collaborate on trading strategies, engage in risk management, oversee trading operations, and contribute to investment pipeline with a scientific approach.

As an AI Platform Engineer, you'll design and build an AI platform, develop APIs and tools for AI capabilities, manage orchestration, and ensure compliance and safety in AI deployments.

Conduct quantitative analysis of private equity co-investments, evaluate market risks and returns, and support investment team decisions with statistical insights and modeling.

As a Senior Data Scientist, you will leverage data to solve complex business problems, implement machine learning and generative AI systems, and drive data-driven decision-making across product and business domains.

The role involves developing backend services, working with cross-functional teams, writing scalable code in Go, and maintaining documentation.