Top Python Jobs in London

The Site Reliability Engineer will improve system reliability, automate processes, collaborate with teams on solutions, and maintain scalable systems within an agile framework.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

Create high-quality data science tutorials and articles, conduct research on trends, suggest topics, and use AI tools for content enhancement.

As a Machine Learning Engineer, you will deploy AI/ML systems, translate client needs into solutions, and engage with users to provide support and improvements.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

The Deployment Strategist Lead is responsible for opening new markets, building a team, engaging strategic customers, and implementing voice AI solutions. This role involves executive stakeholder engagement and technical team management, as well as aligning technical strategies with business objectives.

As Deployment Strategist Lead, you will open a new market, build a team, engage with strategic customers, and ensure effective implementation of AI voice technology, while collaborating with the company's product and research teams.

As a Staff ML Research Scientist, you will develop advanced ML models for drug discovery, integrating them into products and mentoring junior researchers.

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

The AI/ML Architect leads technical development and implementation of AI/ML solutions, manages client relationships, and ensures delivery of business value while serving as a trusted advisor and mentor to teams.

The Senior Data Platform Engineer will lead project delivery for data infrastructure, manage near real-time services, and collaborate across teams while contributing to AI and data governance frameworks.

As a Senior Analytics Engineer, you'll enhance data pipelines and infrastructure for Pigment, shape people data domains, and partner with finance stakeholders to develop scalable solutions for critical business processes.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

The QA Engineer will enhance test automation frameworks, perform cross-functional testing, and ensure the quality of ClickHouse's cloud and open-source offerings.

As a Senior Software Engineer, you will develop and maintain ClickHouse's data ecosystem, focusing on Python integrations with orchestration and transformation tools. You'll engage with the open-source community while enhancing performance and reliability for data practitioners.

The role requires deploying AI solutions and automations for clients, building prototypes, integrating systems, and collaborating with various teams while ensuring effective client interaction.

Develop and maintain core components for a low-latency trading engine at Kraken, focusing on messaging solutions and system optimization.

The Software Engineer will design, develop, and maintain software components for Windows Endpoint protection while collaborating within an Agile team.

Lead the development and optimization of machine learning algorithms, owning the end-to-end model development and collaborating with Data Engineers for integration into live systems.

The Staff Engineer will drive technical strategy across core products, mentoring teams, ensuring architectural excellence, and leading AI-first initiatives.

The Site Reliability Technical Lead will oversee system design, enhance platform reliability, manage incidents, drive automation, and mentor engineers to ensure scalable and secure solutions.

Lead the Machine Learning team, ensuring quality delivery of ML models. Collaborate with stakeholders and foster an experimental culture in AI/ML.

As a Machine Learning Engineer, you will develop production-ready ML solutions, collaborate with multidisciplinary teams, and contribute to Defence and National Security challenges.

The role involves managing the data acquisition and labeling lifecycle for AI audio models, ensuring quality and efficiency in operations while collaborating with research and external vendors.