Top Python Jobs in London

The High-Touch Execution Strategist will manage execution processes, analyze market microstructures, and collaborate with traders to enhance trading practices.

Develop scalable ML systems for driving behaviors, leading RL algorithms, and collaborating on technical projects to enhance Waymo's autonomous technology.

The Engineering Manager leads and manages a team overseeing SaaS product development, ensuring quality and timely deliveries while managing project requirements and team communication.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead backend architecture and cross-functional projects, build scalable Python/Django services and integrations, mentor engineers, improve performance and observability, and drive data-informed product decisions.

Own availability and performance of mission-critical services, improve scalability and observability, build platform tooling, run on-call rotations, practice blameless incident response, collaborate with product teams, and follow FinOps best practices.

As a Senior Forward Deployed Engineer, you will work closely with customers to implement AI solutions, drive adoption, and enhance their support operations while collaborating with sales and product teams.

As a Staff Forward Deployed Engineer, you will lead customer engagement, help integrate AI solutions, and mentor engineers while collaborating cross-functionally to enhance customer service capabilities.

Lead design and evolution of scalable data models and ETL/ELT pipelines, own Looker/LookML BI layer, ensure data quality/governance, collaborate with data science, and drive company-wide analytics strategy.

Partner with Payments Operations to analyze and optimize pay-ins, payouts, and fraud. Build statistical and ML models, design experiments, monitor transaction health, improve risk rules, and deliver insights to shape product and monetization strategy.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

Work in a cross-functional team to design, build, and own backend features and services (primarily Python/Django), implement A/B tests, ensure monitoring and reliability, troubleshoot production issues, and guide technical decisions to improve quality and scalability.

Lead technical direction across platform squads, ship and operate critical platform services, improve CI/CD and delivery workflows, drive reliability (SLOs, observability, runbooks), remediate production issues, mentor engineers, and participate in on-call and incident response to raise platform quality and developer experience.

Lead and grow two engineering teams, provide technical leadership and coaching, define strategy and priorities, ensure execution quality and reliability, and collaborate cross-functionally to deliver high-impact product outcomes.

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 Sr. Business Intelligence Analyst will enhance marketing analytics, influence investment decisions, collaborate across teams, and provide insights to drive marketing strategies and optimizations.

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

Join the DSAE team as a Data Scientist to drive customer-centric decisions through data analysis, modeling, and collaboration across departments at PlayStation.

Develop and enhance systems across the business, work on applications, system integrations, and collaborate with various teams to meet requirements.

As an intern in the FPGA team, you'll design FPGA-based trading platforms, working with SystemVerilog, C++, and Python to optimize performance and support development projects. You'll collaborate with engineers and gain hands-on experience with FPGA hardware.