Top Python Jobs in London

Design and implement flight software for satellites, ensuring autonomous operation and safe data management while collaborating across technical teams.

The Staff Performance Modelling Engineer will create analytical models for optical processors, guide design decisions, and analyze performance with coding in C++ and Python.

The Performance Modelling Engineer will create analytical models, design simulators, analyze workloads, and provide data-driven recommendations for design spaces in an AI-focused optical computing company.

The Satellite Flight Dynamics Engineer analyzes trajectories, plans maneuvers, and operates flight dynamics software for ultra-low orbit satellites.

The Senior Performance Modelling Engineer designs and builds analytical models for an optical compute system, collaborating with hardware and software teams to enhance performance and guide architecture decisions.

The Senior Pricing Analyst will enhance market models using data analytics and machine learning, presenting insights and solutions to stakeholders.

The Field Application Engineer supports customers with Applied products in motorsport, handling diagnostics, and project management while ensuring customer satisfaction.

You will develop backend infrastructure for AI tools at Spotify, integrating LLMs and agentic workflows, while enhancing developer experience and ensuring system reliability.

As a Senior Backend Software Engineer, you'll develop robust backend services, manage APIs, and optimize infrastructure while collaborating with teams for scalable software solutions.

As an International Sector Analyst Intern, you will conduct research on industries, providing insights to investment professionals, while collaborating with cross-functional teams.

The Senior Front-end Engineer will build products and features using modern tech, resolve technical issues, and ensure high code quality while working closely with product teams.

As a Staff Full Stack Engineer, you'll build features and products leveraging modern tech across the stack, resolve technical issues, and maintain code quality while leading hiring and providing technical guidance.

As a Senior Full Stack Engineer at Lawhive, you will build innovative products, resolve technical issues, and drive user delight, working with a collaborative team.

The Machine Learning Engineer will develop ML and NLP features for regulatory compliance products, focusing on cloud engineering, best practices, and continuous improvement.

As a Software Engineer, you'll lead AI implementation projects for the UK public sector, designing innovative solutions and engaging directly with customers to address complex challenges.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

The role involves designing, building, and maintaining exchange connectivity for trading, with a focus on performance and collaboration with trading teams. Candidates will work on integration paths for various trading venues, ensuring reliability and efficiency in live environments.

The Data Scientist will apply statistical and machine learning techniques to analyze data, develop models, and ensure governance throughout their lifecycle, communicating insights effectively.

Monitor and enhance data pipelines, work with Agile methodology, respond to IT incidents, create documentation, and mentor junior engineers.

As a Campus AI Researcher Intern, you will apply machine learning to develop predictive trading models and contribute to complex research projects.

Interns will build ML systems, optimize training pipelines, and collaborate with teams in quantitative finance, focusing on GPU programming and deep learning techniques.

The Principal/Associate Flood Forecasting Modeller will lead flood forecasting projects, develop models, mentor team members, and work with clients to deliver high-quality outcomes.

Lead flood forecasting and hydrology projects, produce technical reports, mentor team members, and collaborate with clients across various disciplines.

The role involves leading teams in real-time flood forecasting projects, developing and calibrating models, mentoring staff, and engaging with clients.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.