Top Python Jobs in London

The IAM Engineer will design and implement IAM platforms, focusing on security and scalability, and address complex identity security challenges.

As a Senior Software Engineer, you'll architect, build, and deliver features, collaborate with teams, maintain CI/CD pipelines, and support team members in technical matters.

As a Founding Engineer, you will architect Clove's backend systems, integrating with financial platforms while ensuring reliability, compliance, and performance.

Support Longevity and Finsol teams and Financial Reporting by owning KPI aggregation, performance analysis, data quality improvements, stakeholder communication, and process transformation to prioritize analysis over production.

Own and ship front-end and full-stack product features from concept to deployment. Write well-tested code, improve frontend architecture and performance, maintain backend services and databases, design excellent UX, and lead technical customer engagements to translate feedback into product improvements.

Develop and train advanced LLMs and VLMs, optimize training methods, design data pipelines, and evaluate model performance. Collaborate with teams in AI systems integration.

Develop and train advanced large language models and vision-language models, implement training methods, design data pipelines, and collaborate with teams to integrate models into AI systems.

This role involves designing and delivering enterprise-level data solutions using Azure tools to help businesses gain insights from their data repositories.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Lead the design and implementation of modern data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to drive effective data solutions.

Lead design and delivery of production-grade AI systems and Digital Workers. Embed with enterprise clients to translate workflows into scalable agentic architectures combining LLMs, RAG, multi-agent orchestration, retrieval, and cloud integration. Own end-to-end technical delivery, guide engineering teams, set technical direction, and ensure reliability and performance in production.

Build and deploy production-grade autonomous AI systems (Digital Workers) for enterprises. Embed with clients to map workflows, integrate models, data, and infrastructure, and deliver scalable agentic solutions using LLMs, RAG, multi-agent coordination, orchestration, and cloud platforms.

Lead end-to-end finance systems and operations: own an AI-native ERP migration, integrations (CRM, HRIS, banks, Carta), automate close and AP/treasury/equity workflows, build FP&A data layer and quote-to-cash, and deploy internal AI Digital Workers to streamline finance and RevOps.

The algorithm engineer will develop machine learning products for underwriting risk assessment, ensure algorithm availability, and guide junior team members.

Develop pre-silicon models for AI hardware, support software development, and collaborate on architecture and performance evaluation.

Responsible for implementing complex IC physical designs, collaborating with teams to optimize performance, power, and area while ensuring design integrity and manufacturability.

The role involves optimizing ML kernels, building low-level control paths, and collaborating with various teams to enhance performance.

Develop cutting-edge AI accelerator solutions by improving developer workflows, managing CI/CD pipelines, optimizing Bazel builds, and extending system support.

As a Deployed Software Engineer, you will implement technology with customers, gather feedback, and collaborate on product feature development, requiring travel to diverse locations.

As a Deployed Software Engineer at Arondite, you will implement technology with customers, travel to client sites, and develop tailored code for their needs while collaborating with the engineering team.

Lead and architect an area of the enterprise product, write production code, mentor and manage engineers, conduct code reviews, own technical decisions, collaborate with PMs/designers, promote security best practices, and contribute to roadmap and stakeholder communication.

Design, develop, test, deploy, document, and maintain Python automation solutions for enterprise finance reporting. Maintain 500+ automations, review team code, mentor junior engineers, coordinate with business stakeholders, research AI and Python libraries, lead POCs for AI/agent tools, and advance Reporting CoE governance and sustainability.

As a Sports Betting Trading Analyst, you will analyze and improve automated sports betting strategies, collaborate with software engineers, and perform data analysis to enhance trading algorithms.

As a Junior Business Analyst, you will develop dashboards, produce performance reports, analyze risks, support AI projects, and collaborate across teams.

The role requires developing ML and quantitative systems using financial time series data, deploying models, and improving signal evaluation for investors.