Top Python Jobs in London

The Junior Software Developer at LMAX will develop and maintain high-performance software using Java, work in collaborative environments with a focus on continuous learning, and actively participate in pair programming and code quality assurance.

As a BI Data Analyst, you will analyze commercial data, assist teams with data queries, track revenue changes, and run tests for product performance.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

The Technical Product Manager will collaborate with data scientists and engineers to translate complex workflows into product requirements, ensuring backend developments align with strategy and support features for the Signal Ocean Platform.

The People Strategy Analyst will leverage data to generate insights on pay, performance reviews, talent recruitment, and office strategy, collaborating with various stakeholders to shape investigations and implement findings.

As a Rapid Capabilities Engineer, you will deploy and integrate software into complex systems, addressing user needs and building critical functionality.

Work as a Solutions Consultant to assist clients in implementing the Airia platform, gathering requirements, configuring solutions, and providing training and support on AI technology.

The Research Scientist will enhance foundation models for usability by analyzing current training methods and innovating new techniques, while presenting findings at ML conferences.

The Research Scientist will enhance training efficiency of foundation models, analyze techniques, implement improvements, and share findings through experimentation and conferences.

The Analytics Engineer at Gizmo will build and maintain the data stack, create scalable ELT pipelines, define KPIs, and enable self-service insights while supporting product decisions and growth experiments.

You will build and maintain data infrastructure for detecting and responding to threats, power detection models, and ensure system reliability while collaborating with other teams.

The Technical Lead for Inference will architect and optimize AI inference systems, lead collaborative projects, and mentor team members while focusing on performance and efficiency.

Develop state-of-the-art AI models in text, image, and speech modalities. Manage research projects and collaborate with teams to deliver impactful AI solutions.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The Principal Data Engineer designs and implements scalable data solutions, infusing AI into enterprise products, and integrates advanced analytics while leading a team to optimize data workflows.

The Principal Data Scientist will lead AI/ML projects within the global R&D team, focusing on implementing cutting-edge solutions for enterprise software, collaborating with various teams and shaping the future of AI at IFS.

The AI Architect will innovate and implement AI solutions in IFS Cloud, manage AI/ML projects, and collaborate with teams to enhance scalability and performance.

Seeking a Senior/Lead Data Engineer to enhance IFS Cloud with advanced analytics and AI, focusing on scalable data solutions and pipelines.

The AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

As a Pre-sales Solutions Architect, you'll build client relationships, provide technical expertise, guide adoption of the Databricks platform, and mentor junior team members.

The role involves designing and building backend services, UI components, and integrations, while maintaining solid infrastructure practices and contributing to team collaboration.

The role involves building client relationships, providing technical value, and delivering customized solutions in data analytics and AI. The engineer will work closely with customers, demonstrate products, and support technical architecture discussions while also contributing to the technical community.

The Data Engineer will design and deploy production data pipelines, utilize AWS technologies for data movement, and collaborate with teams on Agile projects.

The Junior Quant Developer will enhance pricing and risk platforms, requiring C# programming skills and an understanding of financial instruments.