Top Python Jobs in London

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

Join an agile team to design and develop secure, scalable software services using modern technologies. Collaborate with customers and improve skills through learning and feedback.

Own and improve data quality, coverage, and methodologies for dirty petroleum products. Lead investigations, validation, ingestion, and backtesting. Coordinate with Product, Engineering, and Commercial teams, mentor junior analysts, and drive initiatives to enhance data granularity and accuracy across flows and geographies.

The Director of Fraud oversees the fraud strategy for Viber's Fintech operations, leading a team to implement controls and mitigate fraud risks while enhancing customer trust and ensuring compliance with regulatory standards.

The Data Architect will design data solutions, work with stakeholders, manage projects, and develop data architecture to meet business needs.

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

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

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 Optical Interconnect Process Engineer is responsible for designing, optimizing, and manufacturing optical interconnect systems, ensuring high performance and reliability through process development and yield analysis.

Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.

The AI Product Owner will define, shape, and deliver AI capabilities, manage the AI product roadmap, engage with clients, oversee SDLC delivery, ensure compliance, and support internal teams.

As a Senior DevOps Engineer, you'll automate and standardize cloud infrastructure, design CI/CD pipelines, and ensure high availability while advocating DevOps best practices.

As a Data Scientist, you'll build and manage high-quality datasets for secure Generative AI, collaborate on data needs, and ensure model performance.

Lead global rates portfolio management: generate investment ideas, construct and monitor portfolios, collaborate with macro/credit teams, manage client relationships, support business development, and mentor junior staff.

As a Full-Stack Engineer, you will enhance the consumer portal experience by developing a high-performance website using various technologies, focusing on React and TypeScript while collaborating across teams.

As a Python Developer, you will design and maintain robust APIs, manage data pipelines, and integrate cloud platforms for the Global:IQ platform.

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 a Senior Platform Engineer, you'll design and maintain Azure cloud infrastructure, CI/CD workflows, and observability systems to support AI-driven products, enhancing reliability and scalability.

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 role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

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.