Top Python Jobs in London

The Principal Data Scientist will lead best practices in AI/ML experimentation and model governance, ensuring methodological rigor and effective collaboration with domain experts and AI teams.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

As a Staff Code Quality Engineer, you'll architect quality systems, define automated gates, reduce technical debt, and drive engineering excellence with data-backed improvements.

The Forward Deployed Engineer will work directly with customers, integrating and optimizing AI solutions, building features, managing APIs, and improving applications based on feedback.

Develop back-office systems for traders and risk management, ensuring real-time data flow, generating reports, and designing database schemas.

As a Senior Platform Engineer, you will lead software development, data orchestration, and performance optimization while collaborating with teams to enhance our data platform capabilities.

The Director of Solutions Engineering leads a team to optimize customer use of InfoSum's technology by providing strategic guidance, technical expertise, and ensuring seamless onboarding and integration for clients.

The ML Ops/Data Engineer will ensure reliability and scalability of ML systems, manage data pipelines, monitor performance, and collaborate with teams for optimization.

The role involves researching AI misalignment, developing evaluation methods, and collaborating with AI companies and governments to ensure safe AI deployment.

Develop technical safeguards against AI-generated CSAM and NCII by researching, designing, and creating methodologies for open-weight models in a collaborative environment with various stakeholders.

The role involves designing, implementing, and running experiments to study AI's societal effects, focusing on high-impact risks from frontier AI deployment.

The Lead Data Scientist will develop machine learning models for sports analytics, collaborate across teams, mentor others, and implement scalable data pipelines.

The Research Scientist will advance paradigm-shifting AI research, focusing on Gemini Diffusion, through collaborative prototyping and solving key challenges.

The Engineering Manager will lead a team of software engineers, overseeing projects from pre-funding through post-funding while ensuring best practices in development and architecture. The role involves mentoring, collaboration, and continuous process improvement.

As a Lead DevSecOps Engineer, you will drive the delivery of the Web3 Platform, establish DevOps best practices, collaborate with teams, and ensure scalable, secure solutions.

The Principal DevSecOps Engineer will design and maintain infrastructure, implement CI/CD, ensure compliance with security standards, and lead engineering practices for the Web3 platform.

As an AI Workshop Lead, you will deliver AI and ML curriculum, mentor apprentices, and facilitate technical learning sessions while ensuring high-quality education and learner engagement.

As a Staff Data Scientist at Preply, you will lead data strategy for key product domains, driving decision-making through deep analytical investigations, experimentation programs, and collaboration with senior leaders to optimize business outcomes.

The role involves leading client casework, collaborating on model development, designing innovative analytical tools, and pursuing independent research while supporting client relationships.

Analyze operational data to improve efficiency, support process optimization, maintain reports, assist in project management, and ensure data accuracy.

As a Senior DevEx Engineer, you will enhance developer experience by building self-service tools, standardizing practices in platform engineering, and driving reliability initiatives within a high-scale environment.

The Engineering Manager will lead a remote team of software engineers, managing projects and processes to deliver value and optimize performance in an agile environment while mentoring team members.

As a Machine Learning Ops Engineer, you'll develop and implement features for data-driven pricing, ensure ML system reliability, and establish MLOps practices including CI/CD. You'll collaborate with cross-functional teams and conduct model validations to enhance revenue strategies for hotels.

The MLOps Engineer will develop and implement machine learning features, establish MLOps practices, and ensure the reliability of ML systems for improving hotel revenue strategies.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.