Top Python Jobs in London

Design, implement, and improve features for Percona Server and related products. Diagnose defects, contribute to community solutions, and mentor team members.

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.

The role involves managing Azure SQL Databases, optimizing performance, implementing automation with DevOps, and collaborating with teams to enhance data architecture and security.

As a Technical Account Manager, you will manage customer relationships, provide technical guidance, drive product adoption, handle escalations, and represent customer feedback, supporting their automation initiatives.

As a Principal Software Engineer, you'll lead backend and IoT engineering for Defence projects, ensuring high-quality software delivery while mentoring engineers and implementing robust CI/CD processes.

The Climate Data Scientist will enhance climate risk models, develop new analytical tools, and support financial entities in assessing climate impacts using large datasets and advanced methods.

The Senior Consulting Actuary role involves supporting clients with internal model validation and capital modelling, managing the General Insurance team, and driving business development.

The Data Engineer will build data foundations to monitor AI systems for safety, develop pipelines, and ensure data reliability while collaborating with various teams.

The QA Engineer role involves manual and automated testing, creating test plans, collaborating with teams, and ensuring product quality through effective processes and tools.

The Software Engineering Manager leads cross-functional initiatives to enhance software quality and delivery, develops teams, and fosters innovation through Agile practices.

Develop and maintain kdb+ applications, collaborate with business users, analyze data, and mentor junior developers while delivering solutions on schedule.

The Senior Systems Engineer will design and maintain AWS infrastructure, implement Infrastructure-as-Code, enhance observability, and mentor teams. Focused on automation and reliability, this role collaborates with cross-functional teams to optimize cloud systems.

The role involves engineering machine learning solutions, optimizing models, conducting data science experiments, and leading projects while ensuring software quality and cloud integration.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

Lead media analytics and econometrics projects for high-profile brands, translating data into actionable insights while managing and developing junior team members.

As a Marketing Science Analyst, you will support analytics projects, ensure data quality, build models, and translate findings into insights for clients.

The Data Analyst at Ki develops insights, collaborates with stakeholders, creates data visualizations, and ensures data integrity and governance.

Design, train, and ship machine learning models for personalized recommendations on Spotify. Collaborate cross-functionally to impact user experience and mentor teammates.

Lead cross-functional engineering initiatives to optimize software quality and improve customer experience, while developing and coaching a team in modern engineering practices.

The AWS Data Engineer will design, build, and operationalize enterprise data solutions on AWS, mentoring fellow engineers and consulting with clients on data architecture and migration.

As a Senior Data Analytics Consultant, you will solve business problems using complex data, drive client engagement, and create visualizations for strategy support.

Lead cross-functional engineering initiatives to enhance quality and productivity. Manage and coach a software engineering team, ensuring a customer-focused culture and continuous improvement in delivery outcomes.

Lead a team of developers to design and maintain web platforms, focusing on usability and performance, while collaborating with global teams.

Seeking an experienced Python Engineer to support and develop the trading platform, focusing on data processing, ML model infrastructure, and production systems. Requires strong problem-solving skills in a fast-paced environment and experience with trading platforms is preferred.

The Back End Engineer will develop scalable solutions, manage API integrations, and contribute to complex projects while collaborating closely with the Finance Technology team.