Top Python Jobs in London

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.

As a Regional Research Economist, you will analyze AI's economic impacts, collaborate with entities, and develop methodologies for economic measurement, influencing policy and business decisions.

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

Design, run, and interpret large-scale reinforcement-learning experiments; build benchmarks for long-horizon RL; diagnose scale-dependent failures; and translate validated findings into production training recipes while collaborating with research and engineering teams.

Rover seeks a Lead/Senior Software Engineer with 7+ years of experience, specializing in frontend technologies like ReactJs and Python. Responsibilities include building customer-facing products, mentoring team members, and promoting engineering best practices. The role includes collaboration on projects and a commitment to inclusivity and diversity in the workplace.

Forward Deployed Engineers at Elixirr create rapid prototypes from ideas, embedding with teams to design agentic solutions that enhance internal processes, leveraging AI and software engineering skills.

The Principal Data Engineer will design and build AI features, manage data pipelines, and collaborate with data scientists to enhance machine learning models and their implementations.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, LLM provider integration, LLMOps (eval harnesses, prompt versioning, observability), cloud-native deployment, and reusable patterns while embedding with client engineering teams to measure and improve agent accuracy, latency, safety, and cost.

Design, build, and deploy production-grade multi-agent AI systems for enterprise clients. Own RAG pipelines, multi-LLM integration, LLMOps (eval, prompt governance, observability), orchestration frameworks, and lead client engineering engagements and engineering teams.

As a Software Engineer, you'll develop low-latency trading applications and infrastructure, focusing on optimization and system performance in a fast-paced environment.

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

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

The Trading Platform Developer will design and implement functionality for a real-time trading platform, optimize systems, and troubleshoot production issues. A focus is on low-latency systems development.

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 Solutions Consultant will implement data observability solutions, manage B2B software projects, and collaborate with customers for successful data architecture and deployment.

Design, build, and maintain backend services while optimizing CI/CD systems and cloud infrastructure. Collaborate with teams to improve service reliability and developer experience.

Design, build, test, and operate Astronomer’s production platform at scale. Own CI/CD, deployment, reliability, and observability practices; collaborate cross-functionally to set platform standards, participate in incident management, and document systems and processes.

Build, test, and operate cloud-native back-end services using Java (and Python), following secure coding and accessibility (WCAG) standards. Design and deploy RESTful microservices on Azure, work with SQL Server, CI/CD (GitHub Actions), write unit/integration tests, mentor junior developers, participate in agile practices and code reviews, and support service monitoring and incident fixes.