Top Python Jobs in London

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

Design, build, and maintain full-stack web applications using React and .NET Core. Collaborate with data science, product, and design to deliver scalable cloud solutions, APIs, and UI prototypes. Contribute across discovery, delivery, QA, DevOps, and CI, applying SOLID principles and automated testing.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

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.

Design and build scalable backend services and data pipelines in Python, deploy with Docker/Kubernetes, integrate enterprise systems (ERP, APIs, SFTP, event buses), process multi‑terabyte datasets, implement CI/CD and infra-as-code, ensure observability and reliability, and collaborate with customers and ML teams to deliver production enterprise features.

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.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

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

Lead technical customer engagements to design and implement full-stack solutions using Retool. Build Retool applications, integrate enterprise systems, enable partners, scope and deliver professional services, and provide technical guidance and risk management to ensure scalable, production-grade internal tools.

Lead the design and development of AI-powered applications, mentor engineers, and collaborate across teams while ensuring high coding standards and deployment in cloud environments.

As a Staff Software Engineer, you'll work on large-scale distributed systems, optimizing performance for AI inference, and managing complex infrastructure challenges.

Measure and optimize underwriting using statistical analysis and machine learning on claims, risk signals, and underwriting data. Build models for risk assessment, pricing, and automation; create dashboards and reports; collaborate with actuarial, product, and engineering teams; lead initiatives and mentor team members to improve underwriting efficiency and risk selection.

As a Senior Analytics Engineer, you'll design core data models, build AI system foundations, and ensure data quality while collaborating across teams.

The Senior Solutions Engineer will lead DevOps initiatives, improve infrastructure reliability, define release processes, and collaborate on architectural decisions to enhance automation and performance across the organization.

As an Investment Analyst, you will support daily execution, regulatory compliance, and portfolio monitoring through data analysis and reporting.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

As a Senior Software Engineer II, you will build advanced video forensics capabilities, design scalable systems, mentor engineers, and drive cross-team collaboration.

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.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

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

The Solution Architect will lead design and delivery of digital services for the UK Public sector, engage with stakeholders, and ensure best practices in technology.