Top Python Jobs in London

The Software Engineer will design and execute full-stack projects, build and maintain backend APIs and frontend libraries, and mentor junior team members while ensuring engineering excellence.

As a Lead DevOps Engineer, you will build and deploy cloud-based infrastructure, automate deployments, and lead a team in delivering secure environments for data analytics using various technologies.

As a Staff/Principal Machine Learning Engineer, you will optimize and scale multimodal inference systems, ensuring high performance and reliability in production environments.

The Senior Software Engineer leads project subsystems, mentors junior engineers, and designs scalable SaaS solutions while optimizing performance and ensuring code quality.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Applied Scientist will develop and deploy AI Physics Models, manage simulation campaigns, train models, and collaborate with engineering teams on AI solutions.

As a Senior AI Engineer, you will design and build AI/ML systems, operate data pipelines, and prototype new AI solutions, collaborating across teams and ensuring robust infrastructure.

The Pre-Sales Sr. Solutions Architect supports clients in the defense sector to utilize Planet's data solutions, delivers presentations, and collaborates with various teams to enhance offerings.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The Senior Software Cybersecurity Engineer analyzes software for security, performs threat modeling, leads security efforts, mentors teams, and integrates security throughout the development lifecycle.

The Engineering Manager will lead cross-functional teams of engineers, focusing on building high-performing environments, managing technical delivery, fostering team growth, and ensuring data-driven strategies.

The Senior Systems Engineer at Akuna will design, maintain, and optimize trading infrastructure while mentoring team members and collaborating on solutions.

As a Senior Product Engineer, you'll lead in developing web applications, working collaboratively with cross-functional teams while ensuring high code quality and observability in production systems.

The Principal Biostatistician leads biomarker-related statistical activities in clinical studies, develops evaluation plans, and performs complex data analysis, focusing on genomics and biomarkers.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

As a Lead Machine Learning Engineer, you will set technical direction for ML projects, design scalable systems, mentor engineers, and drive innovation. You'll ensure successful project outcomes while balancing trade-offs and guiding team priorities.

Develop and implement AI-driven software solutions using Python and collaborate with cross-functional teams to build the Frontier AI platform.

The Computer Vision Engineer will lead AI initiatives in the defense sector, delivering solutions and mentoring teams while driving technical strategy and capability development.

The IAM Engineer will design and implement IAM platforms, focusing on security and scalability, and address complex identity security challenges.

Design, build, and operate Kubernetes infrastructure for high-demand workloads, ensuring security, reliability, and scalability while collaborating with research and trading teams.

Analyze and investigate trading fraud cases, monitor trading activities to detect fraud, and improve fraud prevention processes.

As a Principal Data Architect, you will design and implement modern data solutions, ensuring data quality and governance while managing architectural direction for engineering teams and guiding clients on data strategy and integration using Google Cloud technologies.

Develop and train advanced LLMs and VLMs, optimize training methods, design data pipelines, and evaluate model performance. Collaborate with teams in AI systems integration.

Develop and train advanced large language models and vision-language models, implement training methods, design data pipelines, and collaborate with teams to integrate models into AI systems.