Top Python Jobs in London

Serve as primary technical advisor for enterprise customers, drive technical adoption plans, deliver hands-on guidance, perform health checks and escalations, liaise across product/engineering/sales, and spend on-site time (up to 50%) to accelerate outcomes and manage public-sector accounts requiring security clearance.

Design, build, test, and maintain backend services and APIs for the casino platform. Ensure reliability, scalability, and code quality; participate in reviews, shape architecture, collaborate with product and vendors, and ship continuously in a fast-paced environment.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

As an Engineering Manager, lead a data engineering team to enhance Yuno's data platform, ensuring reliable processing of payment events, guiding technical decisions and cultivating a strong team culture.

As a Senior DevOps Engineer, you'll build and manage cloud infrastructure, optimize CI/CD pipelines, collaborate with teams on compliance, and lead incident resolutions.

Lead engineering efforts, manage technical teams, ensure software quality, drive automation, and guide product strategies in machine learning security.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

Build and iterate backend services and front-end facing features to improve B2C EV charging experiences. Enable rapid delivery via feature flags, A/B testing, CI/CD, and robust monitoring. Collaborate cross-functionally with product, mobile, and web teams to design, propose, and deliver user-focused, fault-tolerant solutions.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

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

The Staff Machine Learning Engineer will lead the execution of ML systems, ensuring reliability and scalability while collaborating with cross-functional teams to deliver high-quality AI solutions.

As Technical Lead, you'll own ML system execution, manage data pipelines, model deployment, and ensure performance under real-world conditions while collaborating with the team.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

The Senior Machine Learning Engineer will build core ML systems, handle data preparation and iteration, debug model issues, and ensure reliable production performance while mentoring other engineers.

The Applied AI Engineer will develop and deploy AI features, enhance model performance, optimize systems for reliability, and collaborate with teams to address complex problems.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

The Senior Data Engineer will develop and maintain data pipelines, optimize SQL data models, and enhance data quality, collaborating with cross-functional teams.

The Solutions Engineer will assist developers in building user experiences, drive technical integration, troubleshoot issues, and enhance customer communication.

Lead the development of Runware's serverless platform by building core systems for AI workload management and providing technical guidance to the team.