Top Python Jobs in London

Build and maintain scalable MLOps infrastructure and CI/CD for ML and generative AI. Implement experiment tracking, model versioning, deployment, monitoring, IaC, containerized workloads, and production lifecycle management. Collaborate with data scientists and engineers to productionize, monitor, retrain, and govern models in cloud-native environments.

Design and deliver statistical, probabilistic and simulation models to support decision-making. Translate business questions into deployable analytical solutions, quantify uncertainty, validate and monitor models, and partner with engineering, product and business teams to productionise models and define operational requirements.

Monitor live sports markets and support real-time price discovery, risk management, and trading operations. Calibrate prices using market signals and statistical models, identify trading signals and inefficiencies, manage exposure and liabilities, and collaborate with engineers and data teams to improve pricing infrastructure, automation, and model feedback loops.

The Senior Platform Engineer will develop and scale cloud infrastructure, manage daily operations across cloud and on-premises, implement security practices, and improve processes within a diverse and collaborative team.

Senior data engineer responsible for building and operating Databricks-based data platform, designing cross-source data models, creating automated ingestion pipelines, troubleshooting production issues, improving data quality, and integrating AI-driven orchestration for CI/CD and governance.

Design and implement Python testing frameworks, conduct ETL testing, and collaborate in a CI/CD environment focusing on cloud-based data platforms.

As a Cloud Engineer, you will manage cloud infrastructures, leverage serverless services, integrate with third-party solutions, and ensure security best practices while working in an Agile team.

The Data Engineer will implement cloud-native data platforms, engineer scalable pipelines, and optimize cloud resources using Python and SQL, while applying agile methodologies and cloud automation tools.

As a Senior Data Analyst, you will gather and document business requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

The Deployed Engineer works on production AI agents, collaborating with customer engineering teams, advising on architecture, and providing technical demos. They focus on co-architecting solutions, ensuring technical success during evaluations, and contributing feedback to improve the LangChain platform.

The Lead Data Engineer will develop and maintain a data platform, create data pipelines, ensure infrastructure support, and provide governance for stakeholders' data needs.

The Senior Machine Learning Engineer will develop and deploy ML models, enhance infrastructure, and collaborate on customer projects, contributing to innovative solutions for carbon emission reduction.

The Product Engineer will develop user-facing features, improve the product's UX and design, and build backend APIs, focusing on modern web applications and AI-driven materials science solutions.

The Director of Colleague Data Science & Analytics will lead the global HR analytics function, driving innovative solutions to support decision-making and enhance the colleague experience.

The Physical Design Engineer will implement ASIC/SoC designs, perform timing analysis, maintain design integrity, and collaborate with cross-functional teams.

The role involves building and operating ML systems and infrastructure for large foundation models, data pipelines, and experiment orchestration in a collaborative environment.

Perform cloud and on-prem security assessments, threat and risk analysis, enforce security policies, integrate security into IT operations, automate vulnerability management and reporting, and communicate risks to technical and business stakeholders during M&A and integration activities.

Design and implement threat detection, anomaly identification, and predictive security analytics; automate vulnerability management and incident response; configure security tooling with Infrastructure as Code; collaborate across teams to embed AI in security processes; perform threat modeling and support security policy development.

The Senior Software Engineer will lead the design and development of a multi-tenant SaaS platform, assist in technical projects, mentor junior engineers, and ensure system reliability and performance optimization.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

As an AI Engineer, you'll design, implement, and deploy LLM-based solutions, develop text representation pipelines, and collaborate with product teams to integrate features into our SaaS platform.

As an AI Solution Engineer, you'll identify AI opportunities, assess feasibility, design prototypes, and collaborate across teams to innovate solutions using AI technology in infrastructure.

The Principal Cloud DevOps Engineer will enhance infrastructure for ID verification solutions, automate deployments, manage teams, and collaborate with security teams.