Top Python Jobs in London

The Senior Machine Learning Engineer will develop ML pipelines, collaborate with scientists for production, and enhance ML infrastructure at Depop.

The EMEA Head of Risk will lead the Risk Team, shape risk management frameworks, drive innovation in risk analytics, and oversee portfolio risk exposures, collaborating across teams.

Join WorldQuant as an AI Researcher to develop innovative quantitative models using AI and LLMs, analyzing financial datasets and collaborating with development teams.

Lead engineering projects to innovate and grow Rover's platform, focusing on creating engaging user experiences and driving business growth. Collaborate with cross-functional teams to implement features and maintain high-quality software solutions.

The Senior Finance Business Partner in Payments will manage financial performance, guide strategic decisions, analyze products, and support process improvements.

The Product Engineer will own product experiences, build customer-facing applications, lead projects, ensure code quality, and mentor peers while enhancing user design.

The role involves designing, building, and maintaining backend systems and APIs, collaborating cross-functionally, and enhancing developer tools within a fast-paced environment.

Lead Analytics Consultants will provide advanced analytics solutions, guide teams, design data architectures, and deliver impactful BI solutions using cloud technologies.

The Senior Database Engineer will design, implement, manage databases for performance and security, mentor staff, and automate tasks in a hybrid environment.

The AI Strategy Consultant drives marketing transformation by leveraging AI decisioning for personalized customer experiences, collaborating with teams and stakeholders for effective project delivery.

Join Xaira Therapeutics as an AI Research Engineer to develop AI models for drug discovery. Collaborate with interdisciplinary teams to leverage AI in healthcare.

Analyze large datasets to tackle business challenges in gaming using machine learning. Collaborate with teams to implement data-driven strategies and deliver insights.

Join the data infrastructure team to design and implement services for data ingestion and processing, while ensuring code quality and system robustness.

Design and maintain high-performance content services, develop data pipelines, implement APIs, ensure data quality, and optimize system performance.

As a Senior Data Scientist at Ascent, you'll design, implement, and deploy machine learning models while collaborating with stakeholders to deliver data-driven solutions and enhance business operations.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

Lead a team to provide high-impact analytics, translating data into insights, defining models, and collaborating across teams. Enhance storytelling and decision-making through structured analysis, metrics, and reporting.

The Senior Forward Deployed Engineer will enhance customer experiences with AI by consulting on technical solutions, driving product adoption, and collaborating with teams to achieve customer success.

The Senior Pricing Data Scientist will build and enhance ML pricing engines, run experiments, create data science products, and communicate findings effectively.

The role involves developing internal tools to enhance productivity, focusing on debugging, data visualization, and CI pipelines using various technologies.

Data Scientists will work on client-facing projects designing data science solutions to solve competition and regulatory challenges, contribute to advanced research, and conduct training sessions.

Lead technical demos and manage client relationships while guiding customers through the sales and onboarding processes for digital asset solutions.

The Senior Technical Artist will build and maintain automated pipelines, improve workflows, and collaborate on new development technologies in game production.

The Risk Management Associate will monitor daily risk metrics, enhance internal risk models, collaborate with teams, and prepare risk reports for management.

As a Data Scientist in the Lending Strategy Team, you will develop predictive models, provide insights using data analysis, and collaborate with teams to solve business problems autonomously.