Top Python Jobs in London

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

As the first QA Engineer, you'll shape the QA function at Lawhive, improve testing infrastructure, and ensure high software quality, especially for AI applications.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

The role focuses on building product reports for the Connected Store, managing ETL processes, utilizing BI tools, monitoring KPIs, and collaborating with teams.

The People Scientist is responsible for evaluating AI and psychometric models, ensuring fairness and accuracy in scoring, and conducting predictive analytics to enhance recruitment outcomes, while collaborating across teams and communicating insights effectively.

Helical seeks a Full Stack Developer with Python and Next.js expertise to build applications for drug discovery, emphasizing API development, frontend applications, and collaborative workflows.

Design and implement post-training pipelines for biological foundation models, ensuring alignment with therapeutic contexts and delivering value through rigorous experimentation and collaboration with ML and biology teams.

As a Machine Learning Engineer, you'll optimize and scale ML applications in drug discovery, collaborating with a team to enhance model training and deployment.

Lead IT audits across the global IG business, working with teams to enhance risk management and train junior auditors.

The role involves conducting penetration tests, performing code reviews, threat modeling, and collaborating on cloud security while translating technical findings into business risks.

The GCP Data Engineer will design and develop data processing modules and reporting, optimize data pipelines, ensure data quality, and support data governance.

Contribute to product vision by designing metrics, conducting experiments, productionizing data workflows, and collaborating across teams to leverage customer insights effectively.

As an AWS Network Engineer, you will optimize and secure AWS cloud infrastructure, implement security controls, and collaborate with stakeholders to enhance overall security posture.

Lead the enterprise infrastructure roadmap, design and manage on-prem platforms, drive automation, and mentor engineers across global regions.

The Senior Software Engineer will modernize and enhance a key AI product, delivering features and optimizing services while mentoring junior developers and collaborating across teams.

Lead the recruiting process for Quantitative Engineers, develop strategies to meet hiring goals, and ensure a positive candidate experience while partnering with hiring managers.

Lead forecasting, planning, and performance insights for Kroo Bank, building financial models and partnering with stakeholders in a banking environment.

The Reference Data Analyst is responsible for resolving data discrepancies, supporting data operations, onboarding new datasets, and ensuring effective communication with stakeholders.

The Data Onboarding Technician will engage with customers and implementation teams to drive data conversion tasks and ensure smooth onboarding to ezyVet's software. Responsibilities include monitoring conversions, prioritizing tasks, and maintaining project tools like Jira.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

As a Fullstack Software Engineer, you'll design and maintain scalable features, integrate AI capabilities, optimize cloud infrastructure, and own projects end-to-end for an AI-driven customer support platform.

As a Senior Full Stack Engineer, you'll design, build, and optimize features for an AI-powered customer support platform, working from project inception to completion while collaborating with product teams and maintaining cloud infrastructure.

The Data Analyst will assist in building pricing models and management information dashboards, support data manipulation, and collaborate with teams to enhance data visualisation and quality.

As a Senior Modelling Engineer, you will build and improve training features, experiment with algorithms, mentor engineers, and collaborate with coaches to enhance user experience.