Top Python Jobs in London

The Software Engineer will enhance trading infrastructure through collaboration, solving technical problems, and developing high-performance computing solutions in a crypto environment.

The Senior Data Engineer will build and maintain reliable data infrastructure, ensuring scalability for machine learning and analytics, while collaborating with a focused data team using modern technologies.

As a Senior Data Engineer, you'll design and implement data ingestion pipelines, maintain operational reliability, oversee complex projects, and contribute to data governance and risk communication.

The Solutions Architect will design and implement cloud solutions, optimize performance, provide technical guidance to clients, and collaborate with marketing teams.

As a Senior Business Intelligence Analyst, you'll develop data models, conduct analysis, and support strategic decision-making while mentoring junior analysts.

The Senior Reliability Engineer will leverage networking and firewall technologies to maintain secure connectivity, manage installations, and improve solutions within financial technology infrastructures.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

As a Senior Full Stack Engineer, you'll lead features end-to-end, focusing on user experience, optimizing performance, and collaborating closely with cross-functional teams to deliver impactful results.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Customer Success Engineer ensures customers get value from products, providing training, deployment support, and fostering customer satisfaction through strong relationships.

The Product Technical Lead will oversee the AI software product's development, guiding technical design, architecture, and implementation while mentoring the team in an Agile environment.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

The Site Reliability Engineer will enhance the reliability and scalability of StarCompliance's cloud-native systems, implementing observability and deployment strategies. Responsibilities include incident management, monitoring, tooling, and cross-functional collaboration to promote a culture of reliability.

The Business Development and Client Support Manager will build client relationships, develop sales strategies, provide technical support, and deliver automation solutions.

As a Full Stack Software Engineer at Entrust, you'll develop secure applications, collaborate with teams, and enhance identity verification products while using technologies like React and Kotlin.

As a Backend Software Engineer, you will develop and improve backend systems, collaborate with teams, ensure product reliability, and champion security.

Design and build scalable data pipelines, support analytics and reporting, ensure data quality, and collaborate with cross-functional teams. Mentor team members and implement best practices in data engineering.

The role involves leading client engagements on data analytics audits, providing subject matter expertise, managing client relationships, and driving business development efforts.

As a Backend Engineer, you'll develop scalable systems, APIs, and architectures supporting AI products. Collaborate cross-functionally and deliver high-performance solutions.

As a Vice President in Risk Analytics, you'll lead complex data analyses, develop data models, and support clients during legal challenges. This role involves collaborating with legal teams and leveraging technology for analytical solutions.

Join the QRT team as a Quantitative Developer, contributing to Python frameworks for trading strategies, building submission pipelines, and ensuring platform performance.

The Analytics Director leads the analytics function, overseeing projects, managing teams, nurturing client relationships, and driving innovation in data solutions for clients globally.

The Full Stack Engineer will design, build, and maintain loan-offer systems, focusing on back-end engineering while collaborating with data scientists and product strategy leads to optimize performance and user interfaces.

The Data Reliability Engineer will handle L1 support for data issues, ensure data quality, and maintain data pipelines, working closely with traders and vendors to ensure robust operational performance.

As an Engineering Manager, you will lead high-performing teams, mentor engineers, set engineering best practices, and ensure rapid project delivery while collaborating cross-functionally.