Top Python Jobs in London

This role involves supporting technical pre-sales activities, running demos, collaborating with clients on system integrations, and designing implementation plans for ERP systems.

The Senior Product Engineer will develop technical plans, write Ruby code, mentor engineers, and collaborate with product teams to enhance customer service solutions.

Owner of developer-facing content and reference pipelines for ML training data workflows. Produce cookbooks, benchmarks, demos using real datasets, advocate internally for developer needs, answer user questions, and represent the company at conferences and workshops.

Lead a team of engineers to design, develop, and deploy LLM-powered analytics solutions, ensuring best practices and innovation in AI technologies.

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.

The Senior Data Engineer will deliver complex data engineering for insights and analytics, collaborating with multiple stakeholders and managing team outputs.

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

The Senior/Lead Data Solutions Architect leads data architecture design projects, implements data management frameworks, and collaborates with clients to meet business needs leveraging various data technologies.

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.

Support the Analytics team by cleaning and analysing large underwriting datasets, building and validating predictive models, contributing to R&D on mortality/morbidity, feeding insights into pricing and risk control, and communicating results to clients and stakeholders.

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.

Design, build, and modernise backend services, APIs and full-stack web experiences. Collaborate with product, operations and vendors to deliver observable, reliable production systems, apply CI/CD and testing practices, and support platform evolution and stakeholder engagement.

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.

As a Software Engineer, you'll improve code structure, engage in technical execution, and support team members while working on impactful projects.

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.

Own and professionalize the commercial data function: define metric semantics and governance, lead a small data team, deliver executive-ready reporting and forecasting, and build a roadmap for applied AI and predictive analytics on a governed single source of truth.

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

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